Refine texture metrics and update default weights for premium pattern detection

- Added overlay color storage to settings import/export
- Removed generic keyboard shortcuts from menus and replaced them with localized tooltips
- Added QTimer debouncing to log history dialog to prevent status string spam
- Ensured export worker gracefully handles KeyErrors with standard return tuple

.gitignore

@@ -158,4 +158,4 @@ uv/
 .git/worktrees/
 
 # ICRA specific
-images/
+analyses/

LICENSE

@@ -0,0 +1,676 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
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+OF THE PROGRAM IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU
+ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING
+ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF
+THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO
+LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY
+YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY
+OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF
+THE POSSIBILITY OF SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the absence of warranty; and each file should have at least the
+"copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications
+with the library.  If this is what you want to do, use the GNU Lesser
+General Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.

README.md

@@ -2,22 +2,59 @@
   <img src="app/assets/logo.png" alt="ICRA" width="140"/>
   <div>
     <strong>Interactive Color Range Analyzer (ICRA)</strong><br/>
-    A fully-featured, PySide6-powered desktop application for precise color matching, image analysis, and statistics generation.
+    A professional desktop application for high-precision color matching, clustering analysis, and batch statistics generation.
   </div>
 </div>
 
 ## Features
 - **High-Performance Image Processing:** Native, vectorized NumPy operations for lightning-fast HSV conversion and color matching.
-- **Batch Folder Processing:** Load a folder of images and instantly export an aggregated `icra_stats.csv` with localized formatting (dot or comma decimals depending on your language).
+- **Automatic Background Exclusion:** Intelligently ignores background pixels (configurable in `config.toml`) to ensure they don't interfere with your analysis.
+- **Grouping Score (Clustering):** A high-performance 9x9 box-sum algorithm that rewards solid "splashes" of color and penalizes thin lines or fragmented noise.
+- **Batch Processing & Customizable Export:** Load a folder of images and instantly export `icra_stats.csv` and `icra_settings.json`. Features a dedicated **Weighting Dialog** to customize the impact of each core component, outputting precise percentage-based column headers.
+- **Import/Export Settings:** Save your HSV ranges, exclusion zones, weighting preferences, and custom overlay colors to a JSON file and reload them later for consistent analysis across different sessions.
 - **Eyedropper Tool:** Quickly pick target matching colors directly from the image canvas.
 - **Advanced Selection:** Support for exclusion zones (rectangles and free-draw polygons) overlaid on the image, all dynamically rendered via `QGraphicsView`.
 - **Modern UI & UX:** 
   - Drag-and-drop support for files and folders.
-  - Custom dark and light themes with native-feeling borderless titlebars and a categorized menu bar.
+  - Custom dark and light themes with native-feeling borderless titlebars.
+  - Context-aware hover tooltips across the cleanly categorized menu bar.
   - Window size and position persistence between launches.
-  - Keyboard shortcuts for rapid workflow.
 - **Configurable:** Uses `config.toml` to drive everything from overlay matching colors to default sliders and application language (`en`/`de`).
 
+## Core Concepts
+
+### 1. HSV Color Matching
+Instead of simple RGB, ICRA uses the **HSV (Hue, Saturation, Value)** color space. This allows for more intuitive color selection:
+- **Hue (0-360°):** The base "color" (Red, Green, Blue, etc.).
+- **Saturation (0-100%):** The intensity or "vibrancy".
+- **Value (0-100%):** The brightness.
+Matching is performed by checking if each pixel's HSV values fall within your defined ranges.
+
+### 2. Scoring Components
+The **Composite Score** is calculated weighted by your preferences:
+- **Match (Keep):** Percentage of matching pixels *after* excluding your manual shapes and background areas.
+- **Match (All):** Percentage of matching pixels across the entire image.
+- **Brightness Score:** Calculated from the average brightness of the "Keep" areas. If "Prefer Dark" is ON, lower brightness results in a higher score.
+- **Grouping Score:** Uses a 9x9 box-sum density check. Higher values indicate that matching pixels are clustered into solid blocks rather than scattered noise.
+
+### 3. Background Filtering
+To ensure accurate statistics, ICRA automatically filters out the image background (e.g., the dark grey/black backdrop in weapon screenshots). These settings are fully configurable in `config.toml`, allowing you to adjust the target color and the tolerance required for exclusion.
+
+### 4. Exclusion Zones
+Use the **Exclusion Tool** to draw rectangles or polygons over areas you want to ignore. This is essential for focusing your analysis on specific parts of a complex image while ignoring background noise or irrelevant details.
+
+### 5. Configuration (`config.toml`)
+The application is highly customizable via `config.toml`. This file is included in the repository and contains detailed comments explaining each available setting—from default sliders and language selection to UI masking colors and initial background exclusion tolerances.
+
+## Typical Workflow
+
+1.  **Load Data:** Drag and drop a folder or use the `File` menu to load your images.
+2.  **Pick Color:** Use the Eyedropper tool to select your target color directly from the image.
+3.  **Refine HSV:** Fine-tune the Hue, Saturation, and Value sliders to perfect the mask.
+4.  **Draw Exclusions:** Add exclusion shapes to ignore parts of the image that shouldn't be counted.
+5.  **Export:** Click `Export Folder Stats`. Define your weights (e.g., prioritize the Grouping Score if you want coherent splashes) and save your results.
+6.  **Persistent Settings:** Use `File -> Export Settings` to save your configuration, or `File -> Import Settings` to restore a previous setup.
+
 ## Requirements
 - Python 3.11+
 - [uv](https://github.com/astral-sh/uv) for dependency management
@@ -42,16 +79,21 @@ uv run pytest tests/ -v
 ## Project Layout
 ```
 app/
-  assets/        # Shared branding
-  lang/          # Localization strings (TOML format)
-  logic/         # Configuration loading and application constants
-  qt/            # PySide6 implementation (main_window, custom UI widgets, vectorized image processing)
-tests/           # Pytest unit tests
-config.toml      # Configurable overlay colors, slider defaults
-main.py          # Entry point -> PySide6 launcher
+  assets/        # Icons and branding
+  lang/          # Translations (TOML)
+  qt/            # UI implementation and NumPy processing
+tests/           # Unit tests for core analysis
+config.toml      # User-facing configuration
+main.py          # Entry point
+LICENSE          # GNU GPLv3 terms
 ```
 
-## Development Notes
-- The legacy `Tkinter` codebase has been completely removed in favor of `PySide6`. 
-- Quick syntax check: `uv run python -m compileall app main.py`
-- Contributions welcome!
+## Development
+- **Tests**: Run `uv run pytest tests/ -v` to verify the core logic.
+- **Environment**: Managed via `uv`. Run `uv sync` to ensure your environment matches the lockfile.
+
+## Contributing
+Contributions are welcome! Open an issue or submit a pull request.
+
+## License
+GPLv3 License. See the LICENSE file for details.

app/i18n.py

@@ -40,13 +40,14 @@ def _load_translations(lang: str) -> Dict[str, str]:
             data = tomllib.load(handle)
     except (OSError, AttributeError, ValueError, TypeError):  # type: ignore[arg-type]
         return {}
-    translations = data.get("translations")
-    if not isinstance(translations, dict):
-        return {}
+    
+    # Merge all dictionaries found in the TOML (e.g. [translations] and [tooltip])
     out: Dict[str, str] = {}
-    for key, value in translations.items():
-        if isinstance(key, str) and isinstance(value, str):
-            out[key] = value
+    for section_name, section_data in data.items():
+        if isinstance(section_data, dict):
+            for key, value in section_data.items():
+                if isinstance(key, str) and isinstance(value, str):
+                    out[key] = value
     return out
 
 

app/lang/de.toml

@@ -3,8 +3,8 @@
 "toolbar.open_image" = "Bild laden"
 "toolbar.open_folder" = "Ordner laden"
 "toolbar.choose_color" = "Farbe wählen"
-"toolbar.pick_from_image" = "Farbe aus Bild klicken"
-"toolbar.save_overlay" = "Overlay speichern"
+"toolbar.pick_from_image" = "Farbe aus Bild auswählen"
+"toolbar.save_overlay" = "Bild speichern"
 "toolbar.clear_excludes" = "Ausschlüsse löschen"
 "toolbar.toggle_free_draw" = "Freihandmodus umschalten"
 "toolbar.undo_exclude" = "Letzten Ausschluss entfernen"
@@ -12,6 +12,7 @@
 "toolbar.toggle_theme" = "Theme umschalten"
 "toolbar.open_app_folder" = "Programmordner öffnen"
 "toolbar.prefer_dark" = "Dunkelheit bevorzugen"
+"toolbar.exclude_bg" = "Hintergrund ausblenden ({color})"
 "status.no_file" = "Keine Datei geladen."
 "status.defaults_restored" = "Standardwerte aktiv."
 "status.free_draw_enabled" = "Freihand-Ausschluss aktiviert."
@@ -24,6 +25,7 @@
 "status.pick_mode_ended" = "Pick-Modus beendet."
 "status.pick_mode_from_image" = "Farbe vom Bild gewählt: Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
 "palette.current" = "Farbe:"
+"palette.overlay_color" = "Overlay:"
 "palette.more" = "Weitere Farben:"
 "palette.swatch.red" = "Rot"
 "palette.swatch.orange" = "Orange"
@@ -39,20 +41,24 @@
 "sliders.hue_min" = "Hue Min (°)"
 "sliders.hue_max" = "Hue Max (°)"
 "sliders.sat_min" = "Sättigung Min (%)"
+"sliders.sat_max" = "Sättigung Max (%)"
 "sliders.val_min" = "Helligkeit Min (%)"
 "sliders.val_max" = "Helligkeit Max (%)"
 "sliders.alpha" = "Overlay Alpha"
 "stats.placeholder" = "Markierungen (mit Ausschlüssen): —"
-"stats.summary" = "Score: {score:.2f}%    |    Markierungen (m. Ausschl.): {with_pct:.2f}%    |    Markierungen: {without_pct:.2f}%    |    {brightness_label}: {brightness:.1f}%    |    Ausgeschlossen: {excluded_pct:.2f}%"
+"stats.summary" = "Gesamtwertung: {score:.2f}%    |    Treffer (m. Ausschl.): {with_pct:.2f}%    |    Treffer: {without_pct:.2f}%    |    {brightness_label}: {brightness:.1f}%    |    Gruppierung: {grouping:.1f}%    |    Kontinuität: {continuity:.1f}%    |    Rand: {border:.1f}%"
 "stats.brightness_label" = "Helligkeit"
 "stats.darkness_label" = "Dunkelheit"
+"stats.grouping_label" = "Gruppierung"
+"stats.continuity_label" = "Kontinuität"
+"stats.border_label" = "Rand"
 "menu.copy" = "Kopieren"
 "dialog.info_title" = "Info"
 "dialog.error_title" = "Fehler"
 "dialog.saved_title" = "Gespeichert"
 "dialog.open_image_title" = "Bild wählen"
 "dialog.open_folder_title" = "Ordner mit Bildern wählen"
-"dialog.save_overlay_title" = "Overlay speichern als"
+"dialog.save_overlay_title" = "Bild speichern als"
 "dialog.choose_color_title" = "Farbe wählen"
 "dialog.images_filter" = "Bilder"
 "dialog.folder_not_found" = "Der Ordner wurde nicht gefunden."
@@ -78,13 +84,45 @@
 "toolbar.export_folder" = "Ordner-Statistik"
 "menu.file" = "Datei"
 "menu.edit" = "Bearbeiten"
+"menu.exclusions" = "Ausschlüsse"
 "menu.view" = "Ansicht"
+"menu.view_log" = "Protokoll anzeigen"
 "menu.tools" = "Werkzeuge"
 
-"toolbar.pull_patterns" = "Muster-Bilder herunterladen"
-"dialog.puller_title" = "Muster-Bilder herunterladen"
-"dialog.puller_instruction" = "CSGOSkins.gg Artikel-URL einfügen:"
+"toolbar.pull_patterns" = "Muster-Bilder laden"
+"dialog.puller_title" = "Muster-Bilder laden"
+"dialog.puller_instruction" = "CSGOSkins.gg Item-URL einfügen:"
 "dialog.puller_start" = "Download starten"
 "dialog.puller_cancel" = "Abbrechen"
 "dialog.puller_invalid_url" = "Ungültiges URL-Format."
 "dialog.puller_success" = "Alle Muster erfolgreich heruntergeladen!"
+
+"dialog.weighting_title" = "Export-Gewichtung & Präferenz"
+"dialog.weighting_instruction" = "Gewichtung der Komponenten festlegen (Summe muss 100% sein):"
+"dialog.weight_match_all" = "Treffer (Alle) %"
+"dialog.weight_match_keep" = "Treffer (Behalten) %"
+"dialog.weight_brightness" = "Helligkeit/Dunkelheit %"
+"dialog.weight_grouping" = "Gruppierung %"
+"dialog.weight_continuity" = "Kontinuität %"
+"dialog.weight_border" = "Rand Sauberkeit %"
+"dialog.total_weight" = "Gesamt:"
+"dialog.weight_error" = "Gewichtungen müssen exakt 100% ergeben (aktuell {total}%)."
+
+[tooltip]
+"tooltip.open_image" = "Öffnet ein einzelnes Bild zur Analyse"
+"tooltip.open_folder" = "Öffnet einen Ordner mit Bildern für die Stapelverarbeitung"
+"tooltip.export_folder" = "Exportiert die Ergebnisse für den aktuellen Ordner als CSV"
+"tooltip.export_settings" = "Speichert die aktuellen Schieberegler- und Farbeinstellungen in einer JSON-Datei"
+"tooltip.import_settings" = "Lädt gespeicherte Einstellungen aus einer JSON-Datei"
+"tooltip.save_overlay" = "Speichert das aktuell sichtbare zusammengesetzte Overlay-Bild"
+"tooltip.open_app_folder" = "Öffnet das Installationsverzeichnis der Anwendung"
+"tooltip.reset_sliders" = "Setzt alle Schieberegler auf ihre Standardwerte zurück"
+"tooltip.pick_from_image" = "Klicken Sie auf das Bild, um eine Zielfarbe auszuwählen"
+"tooltip.prefer_dark" = "Priorisiert dunklere Farben gegenüber helleren bei der Gesamtbewertung"
+"tooltip.undo_exclude" = "Macht die zuletzt gezeichnete Ausschlussform rückgängig"
+"tooltip.clear_excludes" = "Entfernt alle Ausschlussformen aus dem Bild"
+"tooltip.toggle_free_draw" = "Wechselt zwischen dem Zeichnen von Rechtecken und Freiform-Polygonen"
+"tooltip.exclude_bg" = "Ignoriert basierend auf den Einstellungen automatisch Hintergrundfarben"
+"tooltip.pull_patterns" = "Lädt Musterbilder von einer Remote-Quelle herunter"
+"tooltip.toggle_theme" = "Wechselt zwischen hellem und dunklem UI-Design"
+"tooltip.view_log" = "Zeigt aktuelle Anwendungsstatusmeldungen und Protokolle an"

app/lang/en.toml

@@ -3,8 +3,8 @@
 "toolbar.open_image" = "Open image"
 "toolbar.open_folder" = "Open folder"
 "toolbar.choose_color" = "Choose color"
-"toolbar.pick_from_image" = "Pick from image"
-"toolbar.save_overlay" = "Save overlay"
+"toolbar.pick_from_image" = "Select color from image"
+"toolbar.save_overlay" = "Save Image"
 "toolbar.clear_excludes" = "Clear exclusions"
 "toolbar.toggle_free_draw" = "Toggle free-draw"
 "toolbar.undo_exclude" = "Undo last exclusion"
@@ -12,6 +12,7 @@
 "toolbar.toggle_theme" = "Toggle theme"
 "toolbar.open_app_folder" = "Open application folder"
 "toolbar.prefer_dark" = "Prefer darkness"
+"toolbar.exclude_bg" = "Exclude Background ({color})"
 "status.no_file" = "No file loaded."
 "status.defaults_restored" = "Defaults restored."
 "status.free_draw_enabled" = "Free-draw exclusion mode enabled."
@@ -24,6 +25,7 @@
 "status.pick_mode_ended" = "Pick mode ended."
 "status.pick_mode_from_image" = "Color picked from image: Hue {hue:.1f}°, S {saturation:.0f}%, V {value:.0f}%"
 "palette.current" = "Color:"
+"palette.overlay_color" = "Overlay:"
 "palette.more" = "More colors:"
 "palette.swatch.red" = "Red"
 "palette.swatch.orange" = "Orange"
@@ -39,20 +41,24 @@
 "sliders.hue_min" = "Hue min (°)"
 "sliders.hue_max" = "Hue max (°)"
 "sliders.sat_min" = "Saturation min (%)"
+"sliders.sat_max" = "Saturation max (%)"
 "sliders.val_min" = "Value min (%)"
 "sliders.val_max" = "Value max (%)"
 "sliders.alpha" = "Overlay alpha"
 "stats.placeholder" = "Matches (with exclusions): —"
-"stats.summary" = "Score: {score:.2f}%    |    Matches (w/ excl.): {with_pct:.2f}%    |    Matches: {without_pct:.2f}%    |    {brightness_label}: {brightness:.1f}%    |    Excluded: {excluded_pct:.2f}%"
+"stats.summary" = "Composite Score: {score:.2f}%    |    Matches (w/ excl.): {with_pct:.2f}%    |    Matches: {without_pct:.2f}%    |    {brightness_label}: {brightness:.1f}%    |    Grouping: {grouping:.1f}%    |    Continuity: {continuity:.1f}%    |    Border: {border:.1f}%"
 "stats.brightness_label" = "Brightness"
 "stats.darkness_label" = "Darkness"
+"stats.grouping_label" = "Grouping"
+"stats.continuity_label" = "Continuity"
+"stats.border_label" = "Border"
 "menu.copy" = "Copy"
 "dialog.info_title" = "Info"
 "dialog.error_title" = "Error"
 "dialog.saved_title" = "Saved"
 "dialog.open_image_title" = "Select image"
 "dialog.open_folder_title" = "Select folder"
-"dialog.save_overlay_title" = "Save overlay as"
+"dialog.save_overlay_title" = "Save Image as"
 "dialog.choose_color_title" = "Choose color"
 "dialog.images_filter" = "Images"
 "dialog.folder_not_found" = "The folder could not be found."
@@ -78,7 +84,9 @@
 "toolbar.export_folder" = "Export Folder Stats"
 "menu.file" = "File"
 "menu.edit" = "Edit"
+"menu.exclusions" = "Exclusions"
 "menu.view" = "View"
+"menu.view_log" = "View Log"
 "menu.tools" = "Tools"
 
 "toolbar.pull_patterns" = "Pull Pattern Images"
@@ -88,3 +96,33 @@
 "dialog.puller_cancel" = "Cancel"
 "dialog.puller_invalid_url" = "Invalid URL format."
 "dialog.puller_success" = "All patterns downloaded successfully!"
+
+"dialog.weighting_title" = "Export Weighting & Preference"
+"dialog.weighting_instruction" = "Set the weighting for each component (total must be 100%):"
+"dialog.weight_match_all" = "Match (All) %"
+"dialog.weight_match_keep" = "Match (Keep) %"
+"dialog.weight_brightness" = "Brightness/Darkness %"
+"dialog.weight_grouping" = "Grouping %"
+"dialog.weight_continuity" = "Continuity %"
+"dialog.weight_border" = "Border Cleanliness %"
+"dialog.total_weight" = "Total:"
+"dialog.weight_error" = "Weights must sum exactly to 100% (currently {total}%)."
+
+[tooltip]
+"tooltip.open_image" = "Open a single image for analysis"
+"tooltip.open_folder" = "Open a folder of images to process in batch"
+"tooltip.export_folder" = "Export CSV results for the current folder"
+"tooltip.export_settings" = "Save current slider and color settings to a JSON file"
+"tooltip.import_settings" = "Load saved settings from a JSON file"
+"tooltip.save_overlay" = "Save the currently visible composite overlay image"
+"tooltip.open_app_folder" = "Open the application installation directory"
+"tooltip.reset_sliders" = "Reset all sliders to their default values"
+"tooltip.pick_from_image" = "Click on the image to select a target color"
+"tooltip.prefer_dark" = "Prioritize darker colors over brighter ones in the composite score"
+"tooltip.undo_exclude" = "Undo the last exclusion shape drawn"
+"tooltip.clear_excludes" = "Remove all exclusion shapes from the image"
+"tooltip.toggle_free_draw" = "Toggle between drawing rectangles and free-form polygons"
+"tooltip.exclude_bg" = "Automatically ignore background colors based on settings"
+"tooltip.pull_patterns" = "Download pattern images from a remote source"
+"tooltip.toggle_theme" = "Switch between light and dark UI themes"
+"tooltip.view_log" = "View recent application status messages and logs"

app/logic/__init__.py

@@ -6,6 +6,9 @@ from .constants import (
     IMAGES_DIR,
     LANGUAGE,
     OVERLAY_COLOR,
+    EXCLUDE_BG_COLOR,
+    EXCLUDE_BG_TOLERANCE,
+    WEIGHTS,
     PREVIEW_MAX_SIZE,
     RESET_EXCLUSIONS_ON_IMAGE_CHANGE,
     SUPPORTED_IMAGE_EXTENSIONS,
@@ -17,6 +20,8 @@ __all__ = [
     "IMAGES_DIR",
     "LANGUAGE",
     "OVERLAY_COLOR",
+    "EXCLUDE_BG_COLOR",
+    "WEIGHTS",
     "PREVIEW_MAX_SIZE",
     "RESET_EXCLUSIONS_ON_IMAGE_CHANGE",
     "SUPPORTED_IMAGE_EXTENSIONS",

app/logic/constants.py

@@ -94,7 +94,21 @@ def _extract_language(data: dict[str, Any]) -> str:
 
 _CONFIG_DATA = _load_config_data()
 
-_OPTION_DEFAULTS = {"reset_exclusions_on_image_change": False, "overlay_color": "#ff0000"}
+_OPTION_DEFAULTS = {
+    "reset_exclusions_on_image_change": False,
+    "overlay_color": "#ff0000",
+    "exclude_bg_color": "#1f2937",
+    "exclude_bg_tolerance": 5,
+}
+
+_WEIGHT_DEFAULTS = {
+    "match_all": 20,
+    "match_keep": 20,
+    "brightness": 10,
+    "grouping": 10,
+    "continuity": 20,
+    "border": 20,
+}
 
 
 def _extract_options(data: dict[str, Any]) -> dict[str, Any]:
@@ -108,6 +122,24 @@ def _extract_options(data: dict[str, Any]) -> dict[str, Any]:
     color = section.get("overlay_color")
     if isinstance(color, str) and color.startswith("#") and len(color) in (7, 9):
         result["overlay_color"] = color
+    exclude_bg = section.get("exclude_bg_color")
+    if isinstance(exclude_bg, str) and exclude_bg.startswith("#") and len(exclude_bg) in (7, 9):
+        result["exclude_bg_color"] = exclude_bg
+    tolerance = section.get("exclude_bg_tolerance")
+    if isinstance(tolerance, int):
+        result["exclude_bg_tolerance"] = max(0, min(255, tolerance))
+    return result
+
+
+def _extract_weights(data: dict[str, Any]) -> dict[str, int]:
+    section = data.get("weights")
+    if not isinstance(section, dict):
+        return {}
+    result: dict[str, int] = {}
+    for key in _WEIGHT_DEFAULTS:
+        value = section.get(key)
+        if isinstance(value, int):
+            result[key] = max(0, min(100, value))
     return result
 
 
@@ -116,3 +148,6 @@ LANGUAGE = _extract_language(_CONFIG_DATA)
 OPTIONS = {**_OPTION_DEFAULTS, **_extract_options(_CONFIG_DATA)}
 RESET_EXCLUSIONS_ON_IMAGE_CHANGE = OPTIONS["reset_exclusions_on_image_change"]
 OVERLAY_COLOR = OPTIONS["overlay_color"]
+EXCLUDE_BG_COLOR = OPTIONS["exclude_bg_color"]
+EXCLUDE_BG_TOLERANCE = OPTIONS["exclude_bg_tolerance"]
+WEIGHTS = {**_WEIGHT_DEFAULTS, **_extract_weights(_CONFIG_DATA)}

app/qt/app.py

@@ -46,12 +46,15 @@ def create_application() -> QtWidgets.QApplication:
 def run() -> int:
     """Run the PySide6 GUI."""
     app = create_application()
-    from app.logic import OVERLAY_COLOR
+    from app.logic import OVERLAY_COLOR, EXCLUDE_BG_COLOR, EXCLUDE_BG_TOLERANCE, WEIGHTS
     window = MainWindow(
         language=LANGUAGE,
         defaults=DEFAULTS.copy(),
         reset_exclusions=RESET_EXCLUSIONS_ON_IMAGE_CHANGE,
+        weights=WEIGHTS.copy(),
         overlay_color=OVERLAY_COLOR,
+        exclude_bg_color=EXCLUDE_BG_COLOR,
+        exclude_bg_tolerance=EXCLUDE_BG_TOLERANCE,
     )
 
     # Respect saved geometry from QSettings; fall back to maximised on first launch

app/qt/image_processor.py

@@ -23,6 +23,9 @@ class Stats:
     matches_excl: int = 0
     total_excl: int = 0
     brightness_score: float = 0.0
+    grouping_score: float = 0.0
+    continuity_score: float = 0.0
+    border_score: float = 0.0
     prefer_dark: bool = False
 
     @property
@@ -30,27 +33,44 @@ class Stats:
         """Returns inverted brightness when prefer_dark is on."""
         return (100.0 - self.brightness_score) if self.prefer_dark else self.brightness_score
 
-    @property
-    def composite_score(self) -> float:
-        """Weighted composite: 35% match_all + 55% match_keep + 10% brightness."""
+    def composite_score(self, weights: dict[str, int]) -> float:
+        """Calculates weighted composite based on provided weights (0-100)."""
         pct_all = (self.matches_all / self.total_all * 100) if self.total_all else 0.0
         pct_keep = (self.matches_keep / self.total_keep * 100) if self.total_keep else 0.0
-        return 0.35 * pct_all + 0.55 * pct_keep + 0.10 * self.effective_brightness
+        
+        # weights keys: match_all, match_keep, brightness, grouping, continuity, border
+        w_all = weights.get("match_all", 30) / 100.0
+        w_keep = weights.get("match_keep", 30) / 100.0
+        w_bright = weights.get("brightness", 10) / 100.0
+        w_group = weights.get("grouping", 10) / 100.0
+        w_cont = weights.get("continuity", 10) / 100.0
+        w_bord = weights.get("border", 10) / 100.0
+        
+        return (w_all * pct_all + 
+                w_keep * pct_keep + 
+                w_bright * self.effective_brightness + 
+                w_group * self.grouping_score +
+                w_cont * self.continuity_score +
+                w_bord * self.border_score)
 
-    def summary(self, translate) -> str:
+    def summary(self, translate, weights: dict[str, int]) -> str:
         if self.total_all == 0:
             return translate("stats.placeholder")
         with_pct = (self.matches_keep / self.total_keep * 100) if self.total_keep else 0.0
         without_pct = (self.matches_all / self.total_all * 100) if self.total_all else 0.0
         excluded_pct = (self.total_excl / self.total_all * 100) if self.total_all else 0.0
         brightness_label = translate("stats.darkness_label") if self.prefer_dark else translate("stats.brightness_label")
+        score = self.composite_score(weights)
         return translate(
             "stats.summary",
-            score=self.composite_score,
+            score=score,
             with_pct=with_pct,
             without_pct=without_pct,
             brightness_label=brightness_label,
             brightness=self.effective_brightness,
+            grouping=self.grouping_score,
+            continuity=self.continuity_score,
+            border=self.border_score,
             excluded_pct=excluded_pct,
         )
 
@@ -86,6 +106,221 @@ def _rgb_to_hsv_numpy(arr: np.ndarray) -> np.ndarray:
     return np.stack([h, s * 100.0, v * 100.0], axis=-1)
 
 
+def _calculate_border_score(mask: np.ndarray, val: np.ndarray, alpha_ch: np.ndarray, prefer_dark: bool, excl_mask: np.ndarray | None = None) -> float:
+    """Measure border cleanliness: penalizes extremely dark (or bright) pixels along the match perimeter.
+    Uses Top-10% percentile to ensure local artifacts (halos) aren't diluted by clean edges.
+    """
+    if not mask.any():
+        return 100.0
+        
+    dilated = mask.copy()
+    # Manual morphological 1-pixel dilation
+    dilated[:-1, :] |= mask[1:, :]
+    dilated[1:, :] |= mask[:-1, :]
+    dilated[:, :-1] |= mask[:, 1:]
+    dilated[:, 1:] |= mask[:, :-1]
+    
+    dil2 = dilated.copy()
+    dil2[:-1, :] |= dilated[1:, :]
+    dil2[1:, :] |= dilated[:-1, :]
+    dil2[:, :-1] |= dilated[:, 1:]
+    dil2[:, 1:] |= dilated[:, :-1]
+    
+    # Target exterior pixels that aren't transparent and NOT excluded
+    outer = dil2 & ~mask & (alpha_ch >= 128)
+    if excl_mask is not None:
+        outer &= ~excl_mask
+
+    if not outer.any():
+        return 100.0
+        
+    border_vals = val[outer]
+    if prefer_dark:
+        # Penalize super bright edges (white/silver > 60)
+        penalties = np.clip(border_vals - 60.0, 0, None)
+    else:
+        # Penalize super dark edges (black/heavy shadows < 40)
+        penalties = np.clip(40.0 - border_vals, 0, None)
+        
+    # Hammer down harsh cuts: focus on the 'worst' parts of the border
+    if not penalties.any():
+        return 100.0
+
+    # Using 4th power penalty for 'catastrophic' edge detection.
+    # A single pitch-black line (high diff) is now exponentially worse than a gray transition.
+    total_penalty = np.sum(penalties ** 4)
+    # Collector's Grade: only 20 pixels at full intensity (40^4) 
+    # are required for a 1% drop in the Border Score.
+    max_penalty_sum = 20.0 * (40.0 ** 4)
+    
+    score = 100.0 * (1.0 - (total_penalty / max_penalty_sum))
+    return max(0.0, float(score))
+
+
+def _export_worker(args: tuple) -> tuple:
+    """Standalone worker for ProcessPoolExecutor batch export.
+
+    Receives ``(image_path, params)`` where *params* is the dict produced by
+    ``QtImageProcessor.get_export_params()``.  Opens the image, runs the
+    full stats pipeline, and returns a plain results tuple.  No processor
+    instance is needed so nothing has to be pickled.
+    """
+    image_path, params = args
+    from pathlib import Path
+
+    try:
+        img_path = Path(image_path)
+        hue_min = params["hue_min"]
+        hue_max = params["hue_max"]
+        sat_min = params["sat_min"]
+        sat_max = params["sat_max"]
+        val_min = params["val_min"]
+        val_max = params["val_max"]
+        exclude_bg = params["exclude_bg"]
+        exclude_bg_rgb = tuple(params["exclude_bg_rgb"])
+        exclude_bg_tolerance = params["exclude_bg_tolerance"]
+        prefer_dark = params["prefer_dark"]
+        exclude_shapes = params["exclude_shapes"]
+        exclude_ref_size = params["exclude_ref_size"]
+
+        img = Image.open(img_path).convert("RGBA")
+        arr = np.asarray(img, dtype=np.float32)
+
+        rgb = arr[..., :3] / 255.0
+        alpha_ch = arr[..., 3].copy()
+
+        if exclude_bg:
+            r_bg, g_bg, b_bg = exclude_bg_rgb
+            tol = exclude_bg_tolerance
+            bg_mask = (
+                (np.abs(arr[..., 0] - r_bg) <= tol) &
+                (np.abs(arr[..., 1] - g_bg) <= tol) &
+                (np.abs(arr[..., 2] - b_bg) <= tol)
+            )
+            alpha_ch[bg_mask] = 0
+
+        hsv = _rgb_to_hsv_numpy(rgb)
+        hue = hsv[..., 0]
+        sat = hsv[..., 1]
+        val = hsv[..., 2]
+
+        if hue_min <= hue_max:
+            hue_ok = (hue >= hue_min) & (hue <= hue_max)
+        else:
+            hue_ok = (hue >= hue_min) | (hue <= hue_max)
+
+        match_mask = (
+            hue_ok
+            & (sat >= sat_min)
+            & (sat <= sat_max)
+            & (val >= val_min)
+            & (val <= val_max)
+            & (alpha_ch >= 128)
+        )
+
+        # Build exclusion mask
+        w, h = img.size
+        if not exclude_shapes:
+            excl_mask = np.zeros((h, w), dtype=bool)
+        else:
+            target_w, target_h = w, h
+            ref_w, ref_h = exclude_ref_size or (w, h)
+            sx = target_w / ref_w if ref_w > 0 else 1.0
+            sy = target_h / ref_h if ref_h > 0 else 1.0
+            mask_img = Image.new("L", (w, h), 0)
+            draw = ImageDraw.Draw(mask_img)
+            for shape in exclude_shapes:
+                kind = shape.get("kind")
+                if kind == "rect":
+                    x0, y0, x1, y1 = shape["coords"]
+                    draw.rectangle([x0 * sx, y0 * sy, x1 * sx, y1 * sy], fill=255)
+                elif kind == "polygon":
+                    points = shape.get("points", [])
+                    if len(points) >= 3:
+                        scaled_pts = [(int(px * sx), int(py * sy)) for px, py in points]
+                        draw.polygon(scaled_pts, fill=255)
+            excl_mask = np.asarray(mask_img, dtype=bool)
+
+        keep_match = match_mask & ~excl_mask
+        visible = alpha_ch >= 128
+        keep_visible = visible & ~excl_mask
+        if keep_visible.any():
+            v_vals = val[keep_visible]
+            mean_v = float(v_vals.mean())
+            std_v = float(v_vals.std())
+            # Collector's Purity: multiply mean by a factor derived from variance
+            # A perfectly uniform pattern (std=0) gets 100% of its mean.
+            # Blotchy patterns (std > 10) get a significant reduction.
+            purity_factor = max(0.0, 1.0 - (std_v / 20.0))
+            brightness = mean_v * purity_factor
+        else:
+            brightness = 0.0
+
+        # Grouping score (inline for worker isolation)
+        if not keep_match.any():
+            grouping = 0.0
+        else:
+            mh, mw = keep_match.shape
+            padded = np.pad(keep_match, 5, mode='constant', constant_values=0)
+            cumsum = padded.astype(np.int32).cumsum(axis=0).cumsum(axis=1)
+            y2, x2 = np.arange(9, 9 + mh)[:, None], np.arange(9, 9 + mw)
+            y1_1, x1_1 = np.arange(0, mh)[:, None], np.arange(0, mw)
+            window_sums = cumsum[y2, x2] - cumsum[y1_1, x2] - cumsum[y2, x1_1] + cumsum[y1_1, x1_1]
+            neighbors = (window_sums - keep_match.astype(np.int32)).clip(min=0)
+            match_neighbors = neighbors[keep_match]
+            grouping = float(((match_neighbors / 80.0) ** 2).mean() * 100.0)
+
+        matches_all = int(match_mask[visible].sum())
+        total_all = int(visible.sum())
+        matches_keep = int(keep_match[visible].sum())
+        total_keep = int(keep_visible.sum())
+
+        # Continuity score (inline for worker isolation)
+        continuity = 0.0
+        if keep_match.any():
+            area = keep_match.sum()
+            y_idx, x_idx = np.nonzero(keep_match)
+            unvisited = set(zip(y_idx, x_idx))
+            max_cc_area = 0
+            while unvisited:
+                start_node = unvisited.pop()
+                queue = [start_node]
+                cc_area = 0
+                while queue:
+                    cy, cx = queue.pop()
+                    cc_area += 1
+                    for ny, nx in ((cy-1, cx), (cy+1, cx), (cy, cx-1), (cy, cx+1)):
+                        if (ny, nx) in unvisited:
+                            unvisited.remove((ny, nx))
+                            queue.append((ny, nx))
+                if cc_area > max_cc_area:
+                    max_cc_area = cc_area
+            continuity = float(max_cc_area / area * 100.0) if area > 0 else 0.0
+
+        eff_brightness = (100.0 - brightness) if prefer_dark else brightness
+        
+        # Border Cleanliness score calculation using standalone util
+        border = _calculate_border_score(keep_match, val, alpha_ch, prefer_dark, excl_mask)
+
+        pct_all = (matches_all / total_all * 100) if total_all else 0.0
+        pct_keep = (matches_keep / total_keep * 100) if total_keep else 0.0
+
+        weights = params["weights"]
+        w_all = weights.get("match_all", 30) / 100.0
+        w_keep = weights.get("match_keep", 30) / 100.0
+        w_bright = weights.get("brightness", 10) / 100.0
+        w_group = weights.get("grouping", 10) / 100.0
+        w_cont = weights.get("continuity", 10) / 100.0
+        w_bord = weights.get("border", 10) / 100.0
+        composite = (w_all * pct_all + w_keep * pct_keep + w_bright * eff_brightness + 
+                     w_group * grouping + w_cont * continuity + w_bord * border)
+
+        img.close()
+        return (img_path.name, pct_all, pct_keep, eff_brightness, grouping, continuity, border, composite)
+    except Exception:
+        return (img_path.name, None, None, None, None, None, None, None)
+
+
 class QtImageProcessor:
     """Process images and build overlays for the Qt UI."""
 
@@ -106,6 +341,7 @@ class QtImageProcessor:
             "hue_min": 0,
             "hue_max": 360,
             "sat_min": 25,
+            "sat_max": 100,
             "val_min": 15,
             "val_max": 100,
             "alpha": 120,
@@ -113,6 +349,7 @@ class QtImageProcessor:
         self.hue_min = self.defaults["hue_min"]
         self.hue_max = self.defaults["hue_max"]
         self.sat_min = self.defaults["sat_min"]
+        self.sat_max = self.defaults["sat_max"]
         self.val_min = self.defaults["val_min"]
         self.val_max = self.defaults["val_max"]
         self.alpha = self.defaults["alpha"]
@@ -125,6 +362,17 @@ class QtImageProcessor:
         self._cached_mask_size: Tuple[int, int] | None = None
         self.exclude_ref_size: Tuple[int, int] | None = None
         self.prefer_dark: bool = False
+        self.exclude_bg: bool = True
+        self.exclude_bg_rgb: Tuple[int, int, int] = (31, 41, 55)
+        self.exclude_bg_tolerance: int = 5
+        self.weights: Dict[str, int] = {
+            "match_all": 20,
+            "match_keep": 20,
+            "brightness": 10,
+            "grouping": 10,
+            "continuity": 20,
+            "border": 20
+        }
 
     def set_defaults(self, defaults: dict) -> None:
         for key in self.defaults:
@@ -182,13 +430,29 @@ class QtImageProcessor:
         if self.orig_img is None:
             self.preview_img = None
             return
-        width, height = self.orig_img.size
+
+        img_to_process = self.orig_img.convert("RGBA")
+        if self.exclude_bg:
+            # Mask the background color with tolerance on the original image before resizing
+            # this prevents interpolation artifacts from leaving a background 'halo'
+            arr = np.array(img_to_process)
+            r_bg, g_bg, b_bg = self.exclude_bg_rgb
+            tol = self.exclude_bg_tolerance
+            bg_mask = (
+                (np.abs(arr[..., 0].astype(np.int16) - r_bg) <= tol) &
+                (np.abs(arr[..., 1].astype(np.int16) - g_bg) <= tol) &
+                (np.abs(arr[..., 2].astype(np.int16) - b_bg) <= tol)
+            )
+            arr[bg_mask, 3] = 0
+            img_to_process = Image.fromarray(arr, "RGBA")
+
+        width, height = img_to_process.size
         max_w, max_h = PREVIEW_MAX_SIZE
         scale = min(max_w / width, max_h / height)
         if scale <= 0:
             scale = 1.0
         size = (max(1, int(width * scale)), max(1, int(height * scale)))
-        self.preview_img = self.orig_img.resize(size, Image.LANCZOS)
+        self.preview_img = img_to_process.resize(size, Image.LANCZOS)
 
     def _rebuild_overlay(self) -> None:
         """Build color-match overlay using vectorized NumPy operations."""
@@ -201,7 +465,18 @@ class QtImageProcessor:
         arr = np.asarray(base, dtype=np.float32)  # (H, W, 4)
 
         rgb = arr[..., :3] / 255.0
-        alpha_ch = arr[..., 3]                     # alpha channel of the image
+        alpha_ch = arr[..., 3].copy()              # alpha channel of the image
+        
+        if self.exclude_bg:
+            # Exclude specific background color
+            r_bg, g_bg, b_bg = self.exclude_bg_rgb
+            tol = self.exclude_bg_tolerance
+            bg_mask = (
+                (np.abs(arr[..., 0] - r_bg) <= tol) &
+                (np.abs(arr[..., 1] - g_bg) <= tol) &
+                (np.abs(arr[..., 2] - b_bg) <= tol)
+            )
+            alpha_ch[bg_mask] = 0
 
         hsv = _rgb_to_hsv_numpy(rgb)               # (H, W, 3): H°, S%, V%
 
@@ -219,9 +494,10 @@ class QtImageProcessor:
         match_mask = (
             hue_ok
             & (sat >= float(self.sat_min))
+            & (sat <= float(self.sat_max))
             & (val >= float(self.val_min))
             & (val <= float(self.val_max))
-            & (alpha_ch > 0)
+            & (alpha_ch >= 128)
         )
 
         # Exclusion mask (same pixel space as preview)
@@ -229,8 +505,7 @@ class QtImageProcessor:
 
         keep_match = match_mask & ~excl_mask
         excl_match = match_mask & excl_mask
-        visible = alpha_ch > 0
-
+        visible = alpha_ch >= 128
         matches_all = int(match_mask[visible].sum())
         total_all   = int(visible.sum())
         matches_keep = int(keep_match[visible].sum())
@@ -240,7 +515,23 @@ class QtImageProcessor:
 
         # Brightness: mean Value (0-100) of ALL non-excluded visible pixels
         keep_visible = visible & ~excl_mask
-        brightness = float(val[keep_visible].mean()) if keep_visible.any() else 0.0
+        if keep_visible.any():
+            v_vals = val[keep_visible]
+            mean_v = float(v_vals.mean())
+            std_v = float(v_vals.std())
+            # Purity factor: subtract deviation from mean to punish blotchy patterns
+            brightness = max(0.0, mean_v - (std_v * 1.5))
+        else:
+            brightness = 0.0
+        
+        # Grouping: measure clustering of match_mask
+        grouping = self._calculate_grouping_score(keep_match)
+        
+        # Continuity: Measure connectivity of matched area
+        continuity = self._calculate_continuity_score(keep_match)
+        
+        # Border Cleanliness: Calculate hard edges based on preference
+        border = _calculate_border_score(keep_match, val, alpha_ch, self.prefer_dark, excl_mask)
 
         # Build overlay image
         overlay_arr = np.zeros((base.height, base.width, 4), dtype=np.uint8)
@@ -258,6 +549,9 @@ class QtImageProcessor:
             matches_excl=matches_excl,
             total_excl=total_excl,
             brightness_score=brightness,
+            grouping_score=grouping,
+            continuity_score=continuity,
+            border_score=border,
             prefer_dark=self.prefer_dark,
         )
 
@@ -267,7 +561,18 @@ class QtImageProcessor:
         arr = np.asarray(base, dtype=np.float32)
 
         rgb = arr[..., :3] / 255.0
-        alpha_ch = arr[..., 3]                     
+        alpha_ch = arr[..., 3].copy()                     
+
+        if self.exclude_bg:
+            # Exclude background color with tolerance
+            r_bg, g_bg, b_bg = self.exclude_bg_rgb
+            tol = self.exclude_bg_tolerance
+            bg_mask = (
+                (np.abs(arr[..., 0] - r_bg) <= tol) &
+                (np.abs(arr[..., 1] - g_bg) <= tol) &
+                (np.abs(arr[..., 2] - b_bg) <= tol)
+            )
+            alpha_ch[bg_mask] = 0
 
         hsv = _rgb_to_hsv_numpy(rgb)               
 
@@ -285,20 +590,34 @@ class QtImageProcessor:
         match_mask = (
             hue_ok
             & (sat >= float(self.sat_min))
+            & (sat <= float(self.sat_max))
             & (val >= float(self.val_min))
             & (val <= float(self.val_max))
-            & (alpha_ch > 0)
+            & (alpha_ch >= 128)
         )
 
         excl_mask = self._build_exclusion_mask_numpy(base.size)  
 
         keep_match = match_mask & ~excl_mask
         excl_match = match_mask & excl_mask
-        visible = alpha_ch > 0
 
+        visible = alpha_ch >= 128
         matches_keep_count = int(keep_match[visible].sum())
         keep_visible = visible & ~excl_mask
-        brightness = float(val[keep_visible].mean()) if keep_visible.any() else 0.0
+        if keep_visible.any():
+            v_vals = val[keep_visible]
+            mean_v = float(v_vals.mean())
+            std_v = float(v_vals.std())
+            # Collector's Purity: multiply mean by a factor derived from variance
+            # A perfectly uniform pattern (std=0) gets 100% of its mean.
+            # Blotchy patterns (std > 10) get a significant reduction.
+            purity_factor = max(0.0, 1.0 - (std_v / 20.0))
+            brightness = mean_v * purity_factor
+        else:
+            brightness = 0.0
+        grouping = self._calculate_grouping_score(keep_match)
+        continuity = self._calculate_continuity_score(keep_match)
+        border = _calculate_border_score(keep_match, val, alpha_ch, self.prefer_dark, excl_mask)
 
         return Stats(
             matches_all=int(match_mask[visible].sum()),
@@ -308,9 +627,110 @@ class QtImageProcessor:
             matches_excl=int(excl_match[visible].sum()),
             total_excl=int((visible & excl_mask).sum()),
             brightness_score=brightness,
+            grouping_score=grouping,
+            continuity_score=continuity,
+            border_score=border,
             prefer_dark=self.prefer_dark,
         )
 
+    def _calculate_grouping_score(self, mask: np.ndarray) -> float:
+        """Measure clustering: average density in a 9x9 neighborhood (0-100)."""
+        if not mask.any():
+            return 0.0
+        
+        h, w = mask.shape
+        # Use cumulative sums for O(1) box sum calculation
+        padded = np.pad(mask, 5, mode='constant', constant_values=0)
+        cumsum = padded.astype(np.int32).cumsum(axis=0).cumsum(axis=1)
+        
+        # Indices for 9x9 windows centered at each mask pixel
+        y2, x2 = np.arange(9, 9 + h)[:, None], np.arange(9, 9 + w)
+        y1_1, x1_1 = np.arange(0, h)[:, None], np.arange(0, w)
+        
+        # Box sum formula: S(window) = S(x2,y2) - S(x1-1,y2) - S(x2,y1-1) + S(x1-1,y1-1)
+        window_sums = cumsum[y2, x2] - cumsum[y1_1, x2] - cumsum[y2, x1_1] + cumsum[y1_1, x1_1]
+        
+        # Max neighbors in 9x9 is 80 (excluding the center pixel itself)
+        neighbors = (window_sums - mask.astype(np.int32)).clip(min=0)
+        
+        match_neighbors = neighbors[mask]
+        # Square the density to heavily penalize thin bridges and frayed edges
+        score = ( (match_neighbors / 80.0) ** 2 ).mean() * 100.0
+        return float(score)
+
+    def _calculate_continuity_score(self, mask: np.ndarray) -> float:
+        """Measure continuity: largest connected component ratio and surface smoothness (0-100).
+        Penalizes jaggedness and 'perforated' patterns with many internal holes.
+        """
+        if not mask.any():
+            return 0.0
+        
+        area = mask.sum()
+        
+        # 1. Connectivity Ratio
+        y_idx, x_idx = np.nonzero(mask)
+        unvisited = set(zip(y_idx, x_idx))
+        max_cc_area = 0
+        while unvisited:
+            start_node = unvisited.pop()
+            queue = [start_node]
+            cc_area = 0
+            while queue:
+                cy, cx = queue.pop()
+                cc_area += 1
+                for ny, nx in ((cy-1, cx), (cy+1, cx), (cy, cx-1), (cy, cx+1)):
+                    if (ny, nx) in unvisited:
+                        unvisited.remove((ny, nx))
+                        queue.append((ny, nx))
+            if cc_area > max_cc_area:
+                max_cc_area = cc_area
+        
+        connectivity = max_cc_area / area
+        
+        # 2. Smoothness / Jaggedness (Perimeter-to-Area)
+        # Theoretically perfect smoothness (circle) has perimeter 2*sqrt(pi*area)
+        # We penalize departure from 'ideal' shape density
+        eroded = mask.copy()
+        eroded[:-1, :] &= mask[1:, :]
+        eroded[1:, :] &= mask[:-1, :]
+        eroded[:, :-1] &= mask[:, 1:]
+        eroded[:, 1:] &= mask[:, :-1]
+        perimeter = np.count_nonzero(mask ^ eroded)
+        
+        # min_perim for a circle
+        min_perim = 2.0 * np.sqrt(np.pi * area)
+        # Jaggedness factor (0 is perfect, higher is messier)
+        # We normalize by the expected complexity of the item (e.g. 15 for Karambit)
+        # but here we use a general sensitivity factor
+        jaggedness = max(0.0, (perimeter / min_perim) - 1.0)
+        
+        # Penalty increases as jaggedness goes up. 
+        # For Urban Masked, we are more lenient (factor of 40 instead of 20)
+        smoothness_factor = 1.0 / (1.0 + (jaggedness / 40.0))
+        
+        # 3. Island Count Penalty
+        # Premium patterns should be unified. Each separate piece (island) 
+        # adds a small deduction to the continuity score.
+        y, x = np.nonzero(mask)
+        unvisited = set(zip(y, x))
+        islands = 0
+        while unvisited:
+            islands += 1
+            node = unvisited.pop()
+            q = [node]
+            while q:
+                cy, cx = q.pop()
+                for ny, nx in ((cy-1, cx), (cy+1, cx), (cy, cx-1), (cy, cx+1)):
+                    if (ny, nx) in unvisited:
+                        unvisited.remove((ny, nx))
+                        q.append((ny, nx))
+        
+        # Collector's factor: 2000 is now the baseline for Karambits.
+        island_factor = max(0.0, 1.0 - (islands / 2000.0))
+        
+        score = connectivity * smoothness_factor * island_factor * 100.0
+        return float(score)
+
     # helpers ----------------------------------------------------------------
 
     def _matches(self, r: int, g: int, b: int) -> bool:
@@ -321,7 +741,7 @@ class QtImageProcessor:
             hue_ok = self.hue_min <= hue <= self.hue_max
         else:
             hue_ok = hue >= self.hue_min or hue <= self.hue_max
-        sat_ok = s * 100.0 >= self.sat_min
+        sat_ok = self.sat_min <= s * 100.0 <= self.sat_max
         val_ok = self.val_min <= v * 100.0 <= self.val_max
         return hue_ok and sat_ok and val_ok
 
@@ -439,3 +859,47 @@ class QtImageProcessor:
         self._cached_mask = mask
         self._cached_mask_size = size
         return mask
+
+    def set_exclude_bg_color(self, hex_code: str, tolerance: int = 5) -> None:
+        """Set the RGB channels for background exclusion from a hex string."""
+        self.exclude_bg_tolerance = tolerance
+        if not hex_code.startswith("#") or len(hex_code) not in (7, 9):
+            return
+        try:
+            r = int(hex_code[1:3], 16)
+            g = int(hex_code[3:5], 16)
+            b = int(hex_code[5:7], 16)
+            self.exclude_bg_rgb = (r, g, b)
+        except ValueError:
+            pass
+
+    def get_export_params(self) -> dict:
+        """Extract all parameters needed for headless batch processing.
+
+        Called once before a batch export so that each worker receives
+        a plain dict instead of re-reading instance attributes.
+        """
+        return {
+            "hue_min": float(self.hue_min),
+            "hue_max": float(self.hue_max),
+            "sat_min": float(self.sat_min),
+            "sat_max": float(self.sat_max),
+            "val_min": float(self.val_min),
+            "val_max": float(self.val_max),
+            "exclude_bg": self.exclude_bg,
+            "exclude_bg_rgb": self.exclude_bg_rgb,
+            "exclude_bg_tolerance": self.exclude_bg_tolerance,
+            "prefer_dark": self.prefer_dark,
+            "exclude_shapes": self.exclude_shapes,
+            "exclude_ref_size": self.exclude_ref_size,
+            "weights": self.weights,
+        }
+
+    @property
+    def exclude_bg_color_hex(self) -> str:
+        r, g, b = self.exclude_bg_rgb
+        return f"#{r:02x}{g:02x}{b:02x}"
+
+    @property
+    def overlay_color_hex(self) -> str:
+        return f"#{self.overlay_r:02x}{self.overlay_g:02x}{self.overlay_b:02x}"

app/qt/main_window.py

@@ -41,6 +41,7 @@ SLIDER_SPECS: List[Tuple[str, str, int, int]] = [
     ("sliders.hue_min", "hue_min", 0, 360),
     ("sliders.hue_max", "hue_max", 0, 360),
     ("sliders.sat_min", "sat_min", 0, 100),
+    ("sliders.sat_max", "sat_max", 0, 100),
     ("sliders.val_min", "val_min", 0, 100),
     ("sliders.val_max", "val_max", 0, 100),
     ("sliders.alpha", "alpha", 0, 255),
@@ -152,6 +153,20 @@ class SliderControl(QtWidgets.QWidget):
         self.slider.valueChanged.connect(self._sync_value)
         layout.addWidget(self.slider)
 
+        # Allow slider to receive focus for keyboard control
+        self.setFocusPolicy(QtCore.Qt.StrongFocus)
+        self.slider.setFocusPolicy(QtCore.Qt.NoFocus)
+
+    def keyPressEvent(self, event: QtGui.QKeyEvent) -> None:
+        if event.key() == QtCore.Qt.Key_Left:
+            self.slider.setValue(self.slider.value() - 1)
+            event.accept()
+        elif event.key() == QtCore.Qt.Key_Right:
+            self.slider.setValue(self.slider.value() + 1)
+            event.accept()
+        else:
+            super().keyPressEvent(event)
+
     def _sync_value(self, value: int) -> None:
         self.value_edit.setText(str(value))
         self.value_changed.emit(self.key, value)
@@ -433,11 +448,11 @@ class TitleBar(QtWidgets.QWidget):
         layout.addWidget(self.title_label)
         layout.addStretch(1)
 
-        self.min_btn = self._create_button("–", "Minimise")
+        self.min_btn = self._create_button("–", "Minimize")
         self.min_btn.clicked.connect(window.showMinimized)
         layout.addWidget(self.min_btn)
 
-        self.max_btn = self._create_button("❐", "Maximise / Restore")
+        self.max_btn = self._create_button("❐", "Maximize / Restore")
         self.max_btn.clicked.connect(window.toggle_maximise)
         layout.addWidget(self.max_btn)
 
@@ -512,10 +527,90 @@ class TitleBar(QtWidgets.QWidget):
         super().mousePressEvent(event)
 
 
+class WeightingDialog(QtWidgets.QDialog):
+    """Dialog to customize weightings and preference before folder export."""
+
+    def __init__(self, parent: QtWidgets.QWidget, translate: Callable, current_weights: Dict[str, int], prefer_dark: bool):
+        super().__init__(parent)
+        self._t = translate
+        self.setWindowTitle(self._t("dialog.weighting_title"))
+        self.setFixedWidth(350)
+        
+        layout = QtWidgets.QVBoxLayout(self)
+        layout.setSpacing(12)
+        
+        instruction = QtWidgets.QLabel(self._t("dialog.weighting_instruction"))
+        instruction.setWordWrap(True)
+        layout.addWidget(instruction)
+        
+        grid = QtWidgets.QGridLayout()
+        grid.setSpacing(10)
+        
+        self.inputs: Dict[str, QtWidgets.QSpinBox] = {}
+        specs = [
+            ("match_all", "dialog.weight_match_all"),
+            ("match_keep", "dialog.weight_match_keep"),
+            ("brightness", "dialog.weight_brightness"),
+            ("grouping", "dialog.weight_grouping"),
+            ("continuity", "dialog.weight_continuity"),
+            ("border", "dialog.weight_border"),
+        ]
+        
+        for i, (key, label_key) in enumerate(specs):
+            label = QtWidgets.QLabel(self._t(label_key))
+            spin = QtWidgets.QSpinBox()
+            spin.setRange(0, 100)
+            spin.setSuffix("%")
+            spin.setValue(current_weights.get(key, 0))
+            spin.valueChanged.connect(self._update_total)
+            grid.addWidget(label, i, 0)
+            grid.addWidget(spin, i, 1)
+            self.inputs[key] = spin
+            
+        layout.addLayout(grid)
+        
+        self.total_label = QtWidgets.QLabel(f"{self._t('dialog.total_weight')} 100%")
+        self.total_label.setStyleSheet("font-weight: bold;")
+        layout.addWidget(self.total_label)
+        
+        self.prefer_dark_cb = QtWidgets.QCheckBox(self._t("toolbar.prefer_dark"))
+        self.prefer_dark_cb.setChecked(prefer_dark)
+        layout.addWidget(self.prefer_dark_cb)
+        
+        buttons = QtWidgets.QDialogButtonBox(QtWidgets.QDialogButtonBox.Ok | QtWidgets.QDialogButtonBox.Cancel)
+        buttons.accepted.connect(self._validate_and_accept)
+        buttons.rejected.connect(self.reject)
+        self.ok_button = buttons.button(QtWidgets.QDialogButtonBox.Ok)
+        layout.addWidget(buttons)
+        
+        self._update_total()
+
+    def _update_total(self) -> None:
+        total = sum(s.value() for s in self.inputs.values())
+        self.total_label.setText(f"{self._t('dialog.total_weight')} {total}%")
+        if total == 100:
+            self.total_label.setStyleSheet("color: #34c759; font-weight: bold;")
+            self.ok_button.setEnabled(True)
+        else:
+            self.total_label.setStyleSheet("color: #ff3b30; font-weight: bold;")
+            self.ok_button.setEnabled(False)
+
+    def _validate_and_accept(self) -> None:
+        total = sum(s.value() for s in self.inputs.values())
+        if total != 100:
+            QtWidgets.QMessageBox.warning(self, self._t("dialog.error_title"), self._t("dialog.weight_error", total=total))
+            return
+        self.accept()
+
+    def get_values(self) -> Tuple[Dict[str, int], bool]:
+        weights = {k: s.value() for k, s in self.inputs.items()}
+        return weights, self.prefer_dark_cb.isChecked()
+
+
 class MainWindow(QtWidgets.QMainWindow, I18nMixin):
     """Main application window containing all controls."""
 
-    def __init__(self, language: str, defaults: dict, reset_exclusions: bool, overlay_color: str | None = None) -> None:
+    def __init__(self, language: str, defaults: dict, reset_exclusions: bool, weights: dict[str, int], overlay_color: str | None = None, exclude_bg_color: str | None = None, exclude_bg_tolerance: int = 5) -> None:
         super().__init__()
         self.init_i18n(language)
         self.setWindowTitle(self._t("app.title"))
@@ -535,10 +630,13 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
 
         self.content = QtWidgets.QWidget()
         self.processor = QtImageProcessor()
+        self.processor.weights = weights.copy()
         self.processor.set_defaults(defaults)
         self.processor.reset_exclusions_on_switch = reset_exclusions
         # Always use red for the overlay regardless of the target color
         self.processor.set_overlay_color(DEFAULT_OVERLAY_HEX)
+        if exclude_bg_color:
+            self.processor.set_exclude_bg_color(exclude_bg_color, tolerance=exclude_bg_tolerance)
 
         self.content_layout = QtWidgets.QVBoxLayout(self.content)
         self.content_layout.setContentsMargins(24, 0, 24, 24)
@@ -558,6 +656,14 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         self._current_image_path: Path | None = None
         self._current_color = DEFAULT_COLOR
         self._toolbar_actions: Dict[str, Callable[[], None]] = {}
+        
+        # Debounced log history
+        self._log_history: List[Tuple[str, str]] = []
+        self._pending_log_msg: str | None = None
+        self._log_timer = QtCore.QTimer()
+        self._log_timer.setSingleShot(True)
+        self._log_timer.timeout.connect(self._commit_log)
+
         self._register_default_actions()
 
         self.exclude_mode = "rect"
@@ -615,47 +721,66 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
     def _build_menu_bar(self) -> QtWidgets.QMenuBar:
         self.menu_bar = QtWidgets.QMenuBar(self)
 
+        def add_item(menu: QtWidgets.QMenu, icon: str, text_key: str, slot, tooltip_key: str):
+            action = menu.addAction(f"{icon} {self._t(text_key)}", slot)
+            action.setToolTip(self._t(tooltip_key))
+            return action
+
         # File Menu
         file_menu = self.menu_bar.addMenu(self._t("menu.file"))
-        file_menu.addAction("🖼 " + self._t("toolbar.open_image"), lambda: self._invoke_action("open_image"), "Ctrl+O")
+        add_item(file_menu, "🖼", "toolbar.open_image", lambda: self._invoke_action("open_image"), "tooltip.open_image")
         file_menu.addSeparator()
-        file_menu.addAction("📂 " + self._t("toolbar.open_folder"), lambda: self._invoke_action("open_folder"), "Ctrl+Shift+O")
-        file_menu.addAction("📊 " + self._t("toolbar.export_folder"), lambda: self._invoke_action("export_folder"))
+        add_item(file_menu, "📂", "toolbar.open_folder", lambda: self._invoke_action("open_folder"), "tooltip.open_folder")
+        add_item(file_menu, "📊", "toolbar.export_folder", lambda: self._invoke_action("export_folder"), "tooltip.export_folder")
         file_menu.addSeparator()
-        file_menu.addAction("📤 " + self._t("toolbar.export_settings"), lambda: self._invoke_action("export_settings"), "Ctrl+E")
-        file_menu.addAction("📥 " + self._t("toolbar.import_settings"), lambda: self._invoke_action("import_settings"), "Ctrl+I")
+        add_item(file_menu, "📤", "toolbar.export_settings", lambda: self._invoke_action("export_settings"), "tooltip.export_settings")
+        add_item(file_menu, "📥", "toolbar.import_settings", lambda: self._invoke_action("import_settings"), "tooltip.import_settings")
         file_menu.addSeparator()
-        file_menu.addAction("💾 " + self._t("toolbar.save_overlay"), lambda: self._invoke_action("save_overlay"), "Ctrl+S")
+        add_item(file_menu, "💾", "toolbar.save_overlay", lambda: self._invoke_action("save_overlay"), "tooltip.save_overlay")
+        file_menu.addSeparator()
+        add_item(file_menu, "📁", "toolbar.open_app_folder", lambda: self._invoke_action("open_app_folder"), "tooltip.open_app_folder")
 
         # Edit Menu
         edit_menu = self.menu_bar.addMenu(self._t("menu.edit"))
-        edit_menu.addAction("↩ " + self._t("toolbar.undo_exclude"), lambda: self._invoke_action("undo_exclude"), "Ctrl+Z")
-        edit_menu.addAction("🧹 " + self._t("toolbar.clear_excludes"), lambda: self._invoke_action("clear_excludes"))
+        add_item(edit_menu, "🔄", "toolbar.reset_sliders", lambda: self._invoke_action("reset_sliders"), "tooltip.reset_sliders")
+        add_item(edit_menu, "🖱", "toolbar.pick_from_image", lambda: self._invoke_action("pick_from_image"), "tooltip.pick_from_image")
         edit_menu.addSeparator()
-        edit_menu.addAction("🔄 " + self._t("toolbar.reset_sliders"), lambda: self._invoke_action("reset_sliders"), "Ctrl+R")
-
-        # Tools Menu
-        tools_menu = self.menu_bar.addMenu(self._t("menu.tools"))
-        tools_menu.addAction("🎨 " + self._t("toolbar.choose_color"), lambda: self._invoke_action("choose_color"))
-        tools_menu.addAction("🖱 " + self._t("toolbar.pick_from_image"), lambda: self._invoke_action("pick_from_image"))
-        self.free_draw_action = QtGui.QAction("△ " + self._t("toolbar.toggle_free_draw"), self)
-        self.free_draw_action.setCheckable(True)
-        self.free_draw_action.setChecked(False)
-        self.free_draw_action.triggered.connect(lambda: self._invoke_action("toggle_free_draw"))
-        tools_menu.addAction(self.free_draw_action)
-        tools_menu.addSeparator()
-        tools_menu.addAction("📥 " + self._t("toolbar.pull_patterns"), lambda: self._invoke_action("pull_patterns"))
-
-        # View Menu
-        view_menu = self.menu_bar.addMenu(self._t("menu.view"))
-        view_menu.addAction("🌓 " + self._t("toolbar.toggle_theme"), lambda: self._invoke_action("toggle_theme"))
+        
         self.prefer_dark_action = QtGui.QAction("🌑 " + self._t("toolbar.prefer_dark"), self)
         self.prefer_dark_action.setCheckable(True)
         self.prefer_dark_action.setChecked(False)
+        self.prefer_dark_action.setToolTip(self._t("tooltip.prefer_dark"))
         self.prefer_dark_action.triggered.connect(lambda: self._invoke_action("toggle_prefer_dark"))
-        view_menu.addAction(self.prefer_dark_action)
-        view_menu.addSeparator()
-        view_menu.addAction("📁 " + self._t("toolbar.open_app_folder"), lambda: self._invoke_action("open_app_folder"))
+        edit_menu.addAction(self.prefer_dark_action)
+
+        # Exclusions Menu
+        exclusions_menu = self.menu_bar.addMenu(self._t("menu.exclusions"))
+        add_item(exclusions_menu, "🔙", "toolbar.undo_exclude", lambda: self._invoke_action("undo_exclude"), "tooltip.undo_exclude")
+        add_item(exclusions_menu, "🧹", "toolbar.clear_excludes", lambda: self._invoke_action("clear_excludes"), "tooltip.clear_excludes")
+        exclusions_menu.addSeparator()
+        
+        self.free_draw_action = QtGui.QAction("🖌 " + self._t("toolbar.toggle_free_draw"), self)
+        self.free_draw_action.setCheckable(True)
+        self.free_draw_action.setChecked(False)
+        self.free_draw_action.setToolTip(self._t("tooltip.toggle_free_draw"))
+        self.free_draw_action.triggered.connect(lambda: self._invoke_action("toggle_free_draw"))
+        exclusions_menu.addAction(self.free_draw_action)
+
+        # Tools Menu
+        tools_menu = self.menu_bar.addMenu(self._t("menu.tools"))
+        self.exclude_bg_action = QtGui.QAction("🖼 " + self._t("toolbar.exclude_bg", color=self.processor.exclude_bg_color_hex), self)
+        self.exclude_bg_action.setCheckable(True)
+        self.exclude_bg_action.setChecked(True)
+        self.exclude_bg_action.setToolTip(self._t("tooltip.exclude_bg"))
+        self.exclude_bg_action.triggered.connect(lambda: self._invoke_action("toggle_exclude_bg"))
+        tools_menu.addAction(self.exclude_bg_action)
+        tools_menu.addSeparator()
+        add_item(tools_menu, "📥", "toolbar.pull_patterns", lambda: self._invoke_action("pull_patterns"), "tooltip.pull_patterns")
+
+        # View Menu
+        view_menu = self.menu_bar.addMenu(self._t("menu.view"))
+        add_item(view_menu, "🌓", "toolbar.toggle_theme", lambda: self._invoke_action("toggle_theme"), "tooltip.toggle_theme")
+        add_item(view_menu, "📋", "menu.view_log", self.show_log_dialog, "tooltip.view_log")
 
         # Status label logic remains but moved to palette layout or kept minimal
         # We will add it to the palette layout so that it stays on top
@@ -669,16 +794,27 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
 
         current_group = QtWidgets.QHBoxLayout()
         current_group.setSpacing(8)
+        
         self.current_label = QtWidgets.QLabel(self._t("palette.current"))
         current_group.addWidget(self.current_label)
 
-        self.current_color_swatch = QtWidgets.QLabel()
-        self.current_color_swatch.setFixedSize(28, 28)
-        self.current_color_swatch.setStyleSheet(f"background-color: {DEFAULT_COLOR}; border-radius: 6px;")
+        # Make current color swatch clickable using ColorSwatch matching style
+        self.current_color_swatch = ColorSwatch("palette.current", DEFAULT_COLOR, lambda h, l: self._invoke_action("choose_color"))
         current_group.addWidget(self.current_color_swatch)
 
         self.current_color_label = QtWidgets.QLabel(f"({DEFAULT_COLOR})")
         current_group.addWidget(self.current_color_label)
+        
+        # Add overlay color group
+        current_group.addSpacing(16)
+        self.overlay_label = QtWidgets.QLabel(self._t("palette.overlay_color"))
+        current_group.addWidget(self.overlay_label)
+        
+        from app.logic import OVERLAY_COLOR
+        overlay_default = OVERLAY_COLOR if OVERLAY_COLOR else DEFAULT_OVERLAY_HEX
+        self.overlay_color_swatch = ColorSwatch("palette.overlay_color", overlay_default, lambda h, l: self._choose_overlay_color())
+        current_group.addWidget(self.overlay_color_swatch)
+
         layout.addLayout(current_group)
 
         self.more_label = QtWidgets.QLabel(self._t("palette.more"))
@@ -688,7 +824,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         swatch_container.setSpacing(8)
         self.swatch_buttons: List[ColorSwatch] = []
         for name_key, hex_code in PRESET_COLORS:
-            swatch = ColorSwatch(self._t(name_key), hex_code, self._update_color_display)
+            swatch = ColorSwatch(self._t(name_key), hex_code, lambda h, l: self._update_color_display(h, l, update_range=True))
             swatch_container.addWidget(swatch)
             self.swatch_buttons.append(swatch)
         layout.addLayout(swatch_container)
@@ -805,6 +941,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             "reset_sliders": self._reset_sliders,
             "toggle_theme": self.toggle_theme,
             "toggle_prefer_dark": self.toggle_prefer_dark,
+            "toggle_exclude_bg": self.toggle_exclude_bg,
             "open_app_folder": self.open_app_folder,
             "show_previous_image": self.show_previous_image,
             "show_next_image": self.show_next_image,
@@ -855,7 +992,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
 
     def open_image(self) -> None:
         filters = "Images (*.png *.jpg *.jpeg *.bmp *.webp)"
-        default_dir = str(Path("images").absolute()) if Path("images").exists() else ""
+        default_dir = str(Path("analyses").absolute()) if Path("analyses").exists() else ""
         path_str, _ = QtWidgets.QFileDialog.getOpenFileName(self, self._t("dialog.open_image_title"), default_dir, filters)
         if not path_str:
             return
@@ -872,11 +1009,16 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         self._refresh_views()
 
     def open_folder(self) -> None:
-        default_dir = str(Path("images").absolute()) if Path("images").exists() else ""
+        default_dir = str(Path("analyses").absolute()) if Path("analyses").exists() else ""
         directory = QtWidgets.QFileDialog.getExistingDirectory(self, self._t("dialog.open_folder_title"), default_dir)
         if not directory:
             return
         folder = Path(directory)
+        
+        # Check if there is an 'images' subfolder when the selected folder isn't named 'images'
+        if folder.name.lower() != "images" and (folder / "images").is_dir():
+            folder = folder / "images"
+            
         paths = sorted(
             (p for p in folder.iterdir() if p.suffix.lower() in SUPPORTED_IMAGE_EXTENSIONS and p.is_file()),
             key=lambda p: p.name.lower(),
@@ -894,20 +1036,28 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
 
     def export_settings(self) -> None:
         item_name = ""
+        default_dir = Path("analyses").absolute() if Path("analyses").exists() else Path()
+        
         if self._current_image_path:
-            # Try to get folder name first, otherwise file name
-            if self._current_image_path.parent.name and self._current_image_path.parent.name != "images":
-                item_name = self._current_image_path.parent.name
+            if self._current_image_path.parent.name == "images":
+                root_dir = self._current_image_path.parent.parent
+                item_name = root_dir.name
+                default_dir = root_dir / "settings"
+            elif self._current_image_path.parent.name and self._current_image_path.parent.name != "images":
+                root_dir = self._current_image_path.parent
+                item_name = root_dir.name
+                default_dir = root_dir / "settings"
             else:
                 item_name = self._current_image_path.stem
-        
+                default_dir = self._current_image_path.parent / "settings"
+                
+        default_dir.mkdir(parents=True, exist_ok=True)
         default_filename = f"icra_settings_{item_name}.json" if item_name else "icra_settings.json"
         
-        default_dir = str(Path("images").absolute()) if Path("images").exists() else ""
         path_str, _ = QtWidgets.QFileDialog.getSaveFileName(
             self, 
             self._t("dialog.export_settings_title"),
-            str(Path(default_dir) / default_filename),
+            str(default_dir / default_filename),
             self._t("dialog.json_filter")
         )
         if not path_str:
@@ -917,10 +1067,14 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             "hue_min": self.processor.hue_min,
             "hue_max": self.processor.hue_max,
             "sat_min": self.processor.sat_min,
+            "sat_max": self.processor.sat_max,
             "val_min": self.processor.val_min,
             "val_max": self.processor.val_max,
             "alpha": self.processor.alpha,
+            "prefer_dark": self.processor.prefer_dark,
+            "weights": self.processor.weights,
             "current_color": self._current_color,
+            "overlay_color": self.processor.overlay_color_hex,
             "exclude_ref_size": self.processor.exclude_ref_size,
             "shapes": self.image_view.shapes
         }
@@ -928,16 +1082,30 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         try:
             with open(path_str, "w", encoding="utf-8") as f:
                 json.dump(settings, f, indent=4)
-            self.status_label.setText(self._t("status.settings_exported", path=Path(path_str).name))
+            self.set_status(self._t("status.settings_exported", path=Path(path_str).name))
         except Exception as e:
             QtWidgets.QMessageBox.warning(self, self._t("dialog.error_title"), str(e))
 
     def import_settings(self) -> None:
-        default_dir = str(Path("images").absolute()) if Path("images").exists() else ""
+        default_dir = Path("analyses").absolute() if Path("analyses").exists() else Path()
+        
+        if self._current_image_path:
+            if self._current_image_path.parent.name == "images":
+                root_dir = self._current_image_path.parent.parent
+                default_dir = root_dir / "settings"
+            elif self._current_image_path.parent.name and self._current_image_path.parent.name != "images":
+                root_dir = self._current_image_path.parent
+                default_dir = root_dir / "settings"
+            else:
+                default_dir = self._current_image_path.parent / "settings"
+
+        if not default_dir.exists():
+            default_dir = Path("analyses").absolute() if Path("analyses").exists() else Path()
+
         path_str, _ = QtWidgets.QFileDialog.getOpenFileName(
             self,
             self._t("dialog.import_settings_title"),
-            default_dir,
+            str(default_dir),
             self._t("dialog.json_filter")
         )
         if not path_str:
@@ -947,17 +1115,23 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             with open(path_str, "r", encoding="utf-8") as f:
                 settings = json.load(f)
             
-            # 1. Apply color (UI ONLY)
+            # 1. Apply colors
             if "current_color" in settings:
                 self._current_color = settings["current_color"]
-                # Specifically NOT setting processor color to keep it RED
                 self._update_color_display(self._current_color, self._t("palette.current"))
+                
+            if "overlay_color" in settings:
+                overlay_hex = settings["overlay_color"]
+                self.processor.set_overlay_color(overlay_hex)
+                self.overlay_color_swatch.setStyleSheet(f"background-color: {overlay_hex}; border-radius: 6px;")
             
             # 2. Apply slider values
-            keys = ["hue_min", "hue_max", "sat_min", "val_min", "val_max", "alpha"]
+            keys = ["hue_min", "hue_max", "sat_min", "sat_max", "val_min", "val_max", "alpha"]
             for key in keys:
                 if key in settings:
                     setattr(self.processor, key, settings[key])
+                else:
+                    setattr(self.processor, key, self.processor.defaults.get(key, 0))
             
             # 3. Apply shapes and reference size
             ref_size = None
@@ -972,9 +1146,16 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
                 if self.processor.preview_img:
                     self.processor._rebuild_overlay()
             
+            if "prefer_dark" in settings:
+                self.processor.prefer_dark = bool(settings["prefer_dark"])
+                self.prefer_dark_action.setChecked(self.processor.prefer_dark)
+
+            if "weights" in settings:
+                self.processor.weights = settings["weights"]
+
             self._sync_sliders_from_processor()
             self._refresh_views()
-            self.status_label.setText(self._t("status.settings_imported"))
+            self.set_status(self._t("status.settings_imported"))
             
         except Exception as e:
             QtWidgets.QMessageBox.warning(self, self._t("dialog.error_title"), str(e))
@@ -985,76 +1166,117 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             return
 
         folder_path = self.processor.preview_paths[0].parent
-        default_filename = f"icra_stats_{folder_path.name}.csv"
+        
+        if folder_path.name == "images":
+            root_dir = folder_path.parent
+            item_name = root_dir.name
+        else:
+            root_dir = folder_path
+            item_name = root_dir.name
+            
+        target_dir = root_dir / "results"
+        target_dir.mkdir(parents=True, exist_ok=True)
+        default_filename = f"icra_results_{item_name}.csv" if item_name else "icra_results.csv"
         
         csv_path, _ = QtWidgets.QFileDialog.getSaveFileName(
             self,
             self._t("dialog.export_stats_title"),
-            str(folder_path / default_filename),
+            str(target_dir / default_filename),
             self._t("dialog.csv_filter")
         )
         if not csv_path:
             return
 
+        # Show weighting dialog
+        diag = WeightingDialog(self, self._t, self.processor.weights, self.processor.prefer_dark)
+        if diag.exec() != QtWidgets.QDialog.Accepted:
+            return
+        
+        new_weights, new_prefer_dark = diag.get_values()
+        self.processor.weights = new_weights
+        self.processor.prefer_dark = new_prefer_dark
+        # Update UI state
+        self.prefer_dark_action.setChecked(new_prefer_dark)
+        self._refresh_overlay_only()
+
         total = len(self.processor.preview_paths)
         
         # Hardcoded to EU format as requested: ; delimiter, , decimal
         delimiter = ";"
         decimal = ","
 
-        brightness_col = "Darkness Score" if self.processor.prefer_dark else "Brightness Score"
+        # Weights mapping
+        w_all = self.processor.weights.get("match_all", 20)
+        w_keep = self.processor.weights.get("match_keep", 30)
+        w_bright = self.processor.weights.get("brightness", 10)
+        w_group = self.processor.weights.get("grouping", 10)
+        w_cont = self.processor.weights.get("continuity", 15)
+        w_bord = self.processor.weights.get("border", 15)
+
+        brightness_col = self._t("stats.darkness_label") if self.processor.prefer_dark else self._t("stats.brightness_label")
         headers = [
             "Filename",
-            "Color",
-            "Matching Pixels",
-            "Matching Pixels w/ Exclusions",
-            "Excluded Pixels",
-            brightness_col,
+            f"Matching Pixels ({w_all}%)",
+            f"Matching Pixels w/ Exclusions ({w_keep}%)",
+            f"{brightness_col} ({w_bright}%)",
+            f"{self._t('stats.grouping_label')} ({w_group}%)",
+            f"{self._t('stats.continuity_label')} ({w_cont}%)",
+            f"{self._t('stats.border_label')} ({w_bord}%)",
             "Composite Score"
         ]
+        
+        # Color and Excluded pixels removed from headers
         rows = [headers]
 
-        def process_image(img_path):
-            try:
-                img = Image.open(img_path)
-                s = self.processor.get_stats_headless(img)
-                
-                pct_all = (s.matches_all / s.total_all * 100) if s.total_all else 0.0
-                pct_keep = (s.matches_keep / s.total_keep * 100) if s.total_keep else 0.0
-                pct_excl = (s.total_excl / s.total_all * 100) if s.total_all else 0.0
-
-                pct_all_str = f"{pct_all:.2f}".replace(".", decimal)
-                pct_keep_str = f"{pct_keep:.2f}".replace(".", decimal)
-                pct_excl_str = f"{pct_excl:.2f}".replace(".", decimal)
-                brightness_str = f"{s.effective_brightness:.2f}".replace(".", decimal)
-                composite_str = f"{s.composite_score:.2f}".replace(".", decimal)
-
-                img.close()
-                return [
-                    img_path.name,
-                    self._current_color,
-                    pct_all_str,
-                    pct_keep_str,
-                    pct_excl_str,
-                    brightness_str,
-                    composite_str
-                ]
-            except Exception:
-                return [img_path.name, self._current_color, "Error", "Error", "Error", "Error", "Error"]
+        params = self.processor.get_export_params()
+        tasks = [(str(p), params) for p in self.processor.preview_paths]
 
         results = [None] * total
-        with concurrent.futures.ThreadPoolExecutor() as executor:
-            future_to_idx = {executor.submit(process_image, p): i for i, p in enumerate(self.processor.preview_paths)}
+        
+        from app.qt.image_processor import _export_worker
+        with concurrent.futures.ProcessPoolExecutor() as executor:
+            future_to_idx = {executor.submit(_export_worker, t): i for i, t in enumerate(tasks)}
             done_count = 0
             for future in concurrent.futures.as_completed(future_to_idx):
                 idx = future_to_idx[future]
-                results[idx] = future.result()
+                res = future.result()
+                name, pct_all, pct_keep, eff_brightness, grouping, continuity, border, composite_score = res
+                
+                if pct_keep is None:
+                    # Error parsing image
+                    results[idx] = [name, "Error", "Error", "Error", "Error", "Error", "Error", -1.0]
+                else:
+                    results[idx] = [
+                        name,
+                        pct_all,
+                        pct_keep,
+                        eff_brightness,
+                        grouping,
+                        continuity,
+                        border,
+                        composite_score
+                    ]
+
                 done_count += 1
                 if done_count % 10 == 0 or done_count == total:
-                    self.status_label.setText(self._t("status.exporting", current=str(done_count), total=str(total)))
+                    self.set_status(self._t("status.exporting", current=str(done_count), total=str(total)))
                     QtWidgets.QApplication.processEvents()
-        
-        rows.extend(results)
+
+        # Sort results by composite_score (last element) descending
+        results.sort(key=lambda x: x[-1] if isinstance(x[-1], (int, float)) else -1.0, reverse=True)
+
+        # Convert numbers to strings with custom decimal separator for CSV
+        final_rows = []
+        for r in results:
+            str_row = []
+            for item in r:
+                if isinstance(item, (int, float)):
+                    str_row.append(f"{item:.2f}".replace(".", decimal))
+                else:
+                    str_row.append(str(item))
+            final_rows.append(str_row)
+
+        rows.extend(final_rows)
 
         # Compute max width per column for alignment, plus extra space so it's not cramped
         col_widths = [max(len(str(item)) for item in col) + 4 for col in zip(*rows)]
@@ -1069,7 +1291,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
 
         # Restore overlay state for currently viewed image
         self.processor._rebuild_overlay()
-        self.status_label.setText(self._t("status.export_done", path=csv_path))
+        self.set_status(self._t("status.export_done", path=Path(csv_path).name))
 
     def show_previous_image(self) -> None:
         if not self.processor.preview_paths:
@@ -1097,20 +1319,60 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             self.processor.set_exclusions([])
         self._refresh_views()
 
+    def _try_show_previous_image(self) -> None:
+        focused = QtWidgets.QApplication.focusWidget()
+        if isinstance(focused, (QtWidgets.QSlider, QtWidgets.QLineEdit)):
+            return
+        self.show_previous_image()
+
+    def _try_show_next_image(self) -> None:
+        focused = QtWidgets.QApplication.focusWidget()
+        if isinstance(focused, (QtWidgets.QSlider, QtWidgets.QLineEdit)):
+            return
+        self.show_next_image()
+
     # Helpers ----------------------------------------------------------------
 
-    def _update_color_display(self, hex_code: str, label: str) -> None:
+    def _update_color_display(self, hex_code: str, label: str, update_range: bool = False) -> None:
         self._current_color = hex_code
         self.current_color_swatch.setStyleSheet(f"background-color: {hex_code}; border-radius: 6px;")
         self.current_color_label.setText(f"({hex_code})")
-        # Do NOT call self.processor.set_overlay_color here to keep overlay RED
         if label:
-            self.status_label.setText(f"{label}: {hex_code}")
+            self.set_status(f"{label}: {hex_code}")
+
+        if update_range:
+            # Convert hex to HSV and update sliders/thresholds
+            qcolor = QtGui.QColor(hex_code)
+            h, s, v, _ = qcolor.getHsv()
+            # QColor H is 0-359 or -1 for grayscale, S/V/A are 0-255
+            hue = h if h >= 0 else 0
+            sat_pct = (s / 255.0) * 100.0
+            val_pct = (v / 255.0) * 100.0
+
+            margin = 15
+            hue_min = max(0, int(hue) - margin)
+            hue_max = min(360, int(hue) + margin)
+            sat_min = max(0, int(sat_pct) - 20)
+            sat_max = min(100, int(sat_pct) + 20)
+            val_min = max(0, int(val_pct) - 30)
+            val_max = 100
+
+            for attr, val_score in [
+                ("hue_min", hue_min), ("hue_max", hue_max),
+                ("sat_min", sat_min), ("sat_max", sat_max),
+                ("val_min", val_min), ("val_max", val_max),
+            ]:
+                ctrl = self._slider_controls.get(attr)
+                if ctrl:
+                    # set_value on SliderControl blocks signals, so we set processor manually
+                    ctrl.set_value(val_score)
+                self.processor.set_threshold(attr, val_score)
+            self._refresh_overlay_only()
 
     def _on_slider_change(self, key: str, value: int) -> None:
         self.processor.set_threshold(key, value)
         label = self._slider_title(key)
-        self.status_label.setText(f"{label}: {value}")
+        self.set_status(f"{label}: {value}")
         self._slider_timer.start()
 
     def _reset_sliders(self) -> None:
@@ -1120,16 +1382,9 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
                 default_value = int(self.processor.defaults.get(attr, getattr(self.processor, attr)))
                 control.set_value(default_value)
                 self.processor.set_threshold(attr, default_value)
-        self.status_label.setText(self._t("status.defaults_restored"))
+        self.set_status(self._t("status.defaults_restored"))
         self._refresh_overlay_only()
 
-    def _coming_soon(self) -> None:
-        QtWidgets.QMessageBox.information(
-            self,
-            self._t("dialog.info_title"),
-            "Feature coming soon in the PySide6 migration.",
-        )
-
     # Shortcuts --------------------------------------------------------------
 
     def _setup_shortcuts(self) -> None:
@@ -1139,8 +1394,8 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             (QtGui.QKeySequence.Save, self.save_overlay),
             (QtGui.QKeySequence.Undo, self.undo_exclusion),
             (QtGui.QKeySequence("Ctrl+R"), self._reset_sliders),
-            (QtGui.QKeySequence(QtCore.Qt.Key_Left), self.show_previous_image),
-            (QtGui.QKeySequence(QtCore.Qt.Key_Right), self.show_next_image),
+            (QtGui.QKeySequence(QtCore.Qt.Key_Left), self._try_show_previous_image),
+            (QtGui.QKeySequence(QtCore.Qt.Key_Right), self._try_show_next_image),
             (QtGui.QKeySequence(QtCore.Qt.Key_Escape), self._exit_pick_mode),
         ]
         for seq, slot in shortcuts:
@@ -1158,13 +1413,13 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         self._pick_mode = True
         self.image_view.pick_mode = True
         self.image_view.setCursor(QtCore.Qt.CrossCursor)
-        self.status_label.setText(self._t("status.pick_mode_ready"))
+        self.set_status(self._t("status.pick_mode_ready"))
 
     def _exit_pick_mode(self) -> None:
         self._pick_mode = False
         self.image_view.pick_mode = False
         self.image_view.setCursor(QtCore.Qt.ArrowCursor)
-        self.status_label.setText(self._t("status.pick_mode_ended"))
+        self.set_status(self._t("status.pick_mode_ended"))
 
     def _on_pixel_picked(self, x: int, y: int) -> None:
         result = self.processor.pick_color(x, y)
@@ -1177,13 +1432,15 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         margin = 15
         hue_min = max(0, int(hue) - margin)
         hue_max = min(360, int(hue) + margin)
+        # For a picked color, give a window of ±20% for saturation and -30% for value
         sat_min = max(0, int(sat) - 20)
+        sat_max = min(100, int(sat) + 20)
         val_min = max(0, int(val) - 30)
         val_max = 100
 
         for attr, value in [
             ("hue_min", hue_min), ("hue_max", hue_max),
-            ("sat_min", sat_min), ("val_min", val_min), ("val_max", val_max),
+            ("sat_min", sat_min), ("sat_max", sat_max), ("val_min", val_min), ("val_max", val_max),
         ]:
             ctrl = self._slider_controls.get(attr)
             if ctrl:
@@ -1191,19 +1448,68 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             self.processor.set_threshold(attr, value)
 
         # Update color swatch to the picked pixel color
-        h_norm = hue / 360.0
-        s_norm = sat / 100.0
-        v_norm = val / 100.0
-        import colorsys
-        r, g, b = colorsys.hsv_to_rgb(h_norm, s_norm, v_norm)
-        hex_code = "#{:02x}{:02x}{:02x}".format(int(r * 255), int(g * 255), int(b * 255))
-        self._update_color_display(hex_code, "")
-
-        self.status_label.setText(
-            self._t("status.pick_mode_from_image", hue=hue, saturation=sat, value=val)
-        )
+        if not self._current_image_path:
+            return
+        try:
+            from PIL import Image
+            img = Image.open(self._current_image_path).convert("RGB")
+            r, g, b = img.getpixel((x, y))  # type: ignore[misc]
+            img.close()
+            hex_code = f"#{r:02x}{g:02x}{b:02x}"
+            hue, sat, val = self.processor.rgb_to_hsv(r, g, b)
+            msg = self._t("status.pick_mode_from_image", hue=hue, saturation=sat, value=val)
+            self._update_color_display(hex_code, "Picked Color")
+            self.set_status(msg)
+            # Auto-exit pick mode after selection
+            self._invoke_action("pick_from_image")
+        except Exception as e:
+            self.set_status(self._t("dialog.image_open_failed", error=str(e)))
         self._refresh_overlay_only()
 
+    def set_status(self, msg: str) -> None:
+        self.status_label.setText(msg)
+        self._pending_log_msg = msg
+        self._log_timer.start(250)
+        
+    def _commit_log(self) -> None:
+        if not self._pending_log_msg:
+            return
+        import datetime
+        timestamp = datetime.datetime.now().strftime("%H:%M:%S")
+        self._log_history.append((timestamp, self._pending_log_msg))
+        if len(self._log_history) > 10:
+            self._log_history.pop(0)
+        self._pending_log_msg = None
+
+    def show_log_dialog(self) -> None:
+        dialog = QtWidgets.QDialog(self)
+        dialog.setWindowTitle(self._t("menu.view_log"))
+        
+        screen = self.screen()
+        if screen:
+            rect = screen.availableGeometry()
+            dialog.resize(max(400, int(rect.width() * 0.5)), max(300, int(rect.height() * 0.5)))
+        else:
+            dialog.setMinimumSize(400, 300)
+        
+        layout = QtWidgets.QVBoxLayout(dialog)
+        
+        text_edit = QtWidgets.QTextEdit()
+        text_edit.setReadOnly(True)
+        
+        log_text = ""
+        for ts, msg in self._log_history:
+            log_text += f"[{ts}] {msg}\n"
+            
+        text_edit.setPlainText(log_text if log_text else "No logs yet.")
+        layout.addWidget(text_edit)
+        
+        btn_box = QtWidgets.QDialogButtonBox(QtWidgets.QDialogButtonBox.Ok)
+        btn_box.accepted.connect(dialog.accept)
+        layout.addWidget(btn_box)
+        
+        dialog.exec()
+
     def open_pattern_puller(self) -> None:
         dialog = PatternPullerDialog(self.language, parent=self)
         dialog.exec()
@@ -1259,17 +1565,43 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         if not color.isValid():
             return
         hex_code = color.name()
-        self._update_color_display(hex_code, self._t("dialog.choose_color_title"))
+        self._update_color_display(hex_code, self._t("dialog.choose_color_title"), update_range=True)
+
+    def _choose_overlay_color(self) -> None:
+        color = QtWidgets.QColorDialog.getColor(parent=self, title=self._t("dialog.choose_color_title"))
+        if not color.isValid():
+            return
+        hex_code = color.name()
+        self.processor.set_overlay_color(hex_code)
+        self.overlay_color_swatch.setStyleSheet(
+            f"QPushButton {{ background-color: {hex_code}; border: 2px solid {THEMES[self.current_theme]['border']}; border-radius: 6px; }}"
+            f"QPushButton:hover {{ border-color: {THEMES[self.current_theme]['accent']}; }}"
+        )
+        self.overlay_color_swatch.hex_code = hex_code
+        self._refresh_overlay_only()
 
     def save_overlay(self) -> None:
         pixmap = self.processor.overlay_pixmap()
         if pixmap.isNull():
             QtWidgets.QMessageBox.information(self, self._t("dialog.info_title"), self._t("dialog.no_preview_available"))
             return
+            
+        skin_name = "image"
+        if self._current_image_path:
+            # Similar logic to export_settings to get the skin name
+            if self._current_image_path.parent.name == "images":
+                skin_name = self._current_image_path.parent.parent.name
+            elif self._current_image_path.parent.name and self._current_image_path.parent.name != "images":
+                skin_name = self._current_image_path.parent.name
+            else:
+                skin_name = self._current_image_path.stem
+
+        default_name = f"{skin_name}.png"
+        
         filename, _ = QtWidgets.QFileDialog.getSaveFileName(
             self,
             self._t("dialog.save_overlay_title"),
-            "overlay.png",
+            default_name,
             "PNG (*.png)",
         )
         if not filename:
@@ -1277,14 +1609,14 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         if not pixmap.save(filename, "PNG"):
             QtWidgets.QMessageBox.warning(self, self._t("dialog.error_title"), self._t("dialog.image_open_failed", error="Unable to save file"))
             return
-        self.status_label.setText(self._t("dialog.overlay_saved", path=filename))
+        self.set_status(self._t("dialog.overlay_saved", path=filename))
 
     def toggle_free_draw(self) -> None:
         self.exclude_mode = "free" if self.exclude_mode == "rect" else "rect"
         self.image_view.set_mode(self.exclude_mode)
         self.free_draw_action.setChecked(self.exclude_mode == "free")
         message_key = "status.free_draw_enabled" if self.exclude_mode == "free" else "status.free_draw_disabled"
-        self.status_label.setText(self._t(message_key))
+        self.set_status(self._t(message_key))
 
     def toggle_prefer_dark(self) -> None:
         self.processor.prefer_dark = not self.processor.prefer_dark
@@ -1293,15 +1625,24 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             self.processor._rebuild_overlay()
             self._refresh_overlay_only()
 
+    def toggle_exclude_bg(self) -> None:
+        self.processor.exclude_bg = not self.processor.exclude_bg
+        self.exclude_bg_action.setChecked(self.processor.exclude_bg)
+        if self._current_image_path:
+            # Re-scale/re-apply transparency
+            self.processor._build_preview()
+            self.processor._rebuild_overlay()
+            self._refresh_views()
+
     def clear_exclusions(self) -> None:
         self.image_view.clear_shapes()
         self.processor.set_exclusions([])
-        self.status_label.setText(self._t("toolbar.clear_excludes"))
+        self.set_status(self._t("toolbar.clear_excludes"))
         self._refresh_overlay_only()
 
     def undo_exclusion(self) -> None:
         self.image_view.undo_last()
-        self.status_label.setText(self._t("toolbar.undo_exclude"))
+        self.set_status(self._t("toolbar.undo_exclude"))
 
     def toggle_theme(self) -> None:
         self.current_theme = "light" if self.current_theme == "dark" else "dark"
@@ -1324,6 +1665,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
 
         self.status_label.setStyleSheet(f"color: {colors['text_muted']}; font-weight: 500;")
         self.current_label.setStyleSheet(f"color: {colors['text_muted']}; font-weight: 500;")
+        self.overlay_label.setStyleSheet(f"color: {colors['text_muted']}; font-weight: 500;")
         self.current_color_label.setStyleSheet(f"color: {colors['text_dim']};")
         self.more_label.setStyleSheet(f"color: {colors['text_muted']}; font-weight: 500;")
         self.filename_prefix_label.setStyleSheet(f"color: {colors['text_muted']}; font-weight: 500;")
@@ -1431,7 +1773,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             dimensions = f"{width}×{height}"
             
             # Status label for top right layout
-            self.status_label.setText(
+            self.set_status(
                 self._t("status.loaded", name=self._current_image_path.name, dimensions=dimensions, position=position)
             )
             
@@ -1445,7 +1787,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             # Update prefix translation correctly
             prefix = self._t("status.loaded", name="X", dimensions="Y", position="Z").split("X")[0]
             self.filename_prefix_label.setText(prefix)
-        self.ratio_label.setText(self.processor.stats.summary(self._t))
+        self.ratio_label.setText(self.processor.stats.summary(self._t, self.processor.weights))
 
     def _refresh_overlay_only(self) -> None:
         if self.processor.preview_img is None:
@@ -1455,7 +1797,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             self.overlay_view.clear_canvas()
         else:
             self.overlay_view.set_pixmap(self._overlay_with_outlines(pix))
-        self.ratio_label.setText(self.processor.stats.summary(self._t))
+        self.ratio_label.setText(self.processor.stats.summary(self._t, self.processor.weights))
 
     def _on_shapes_changed(self, shapes: list[dict[str, object]]) -> None:
         self.processor.set_exclusions(shapes)

app/qt/pattern_puller.py

@@ -30,17 +30,32 @@ class PatternDownloadWorker(QtCore.QThread):
         filename = self.save_dir / f"{seed}.png"
 
         if filename.exists():
-            return True, None
+            try:
+                from PIL import Image
+                with Image.open(filename) as img:
+                    img.verify()
+                return True, None
+            except Exception:
+                filename.unlink(missing_ok=True)
 
         try:
             req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0 ICRA/1.0'})
             with urllib.request.urlopen(req, timeout=10) as response:
                 with open(filename, 'wb') as f:
                     f.write(response.read())
-            return True, None
+            
+            try:
+                from PIL import Image
+                with Image.open(filename) as img:
+                    img.verify()
+                return True, None
+            except Exception:
+                filename.unlink(missing_ok=True)
+                return False, "Downloaded file is invalid/corrupt"
         except urllib.error.HTTPError as e:
             return False, f"HTTP {e.code}"
         except Exception as e:
+            filename.unlink(missing_ok=True)
             return False, f"Network error: {e}"
 
     def run(self) -> None:
@@ -140,7 +155,7 @@ class PatternPullerDialog(QtWidgets.QDialog, I18nMixin):
             QtWidgets.QMessageBox.warning(self, "Error", self._t("dialog.puller_invalid_url", default="Invalid URL format."))
             return
 
-        save_dir = Path("images") / slug
+        save_dir = Path("analyses") / slug / "images"
 
         self.start_btn.setEnabled(False)
         self.url_input.setEnabled(False)

config.toml

@@ -3,18 +3,38 @@
 language = "en"
 
 [options]
-# Set to true to clear exclusion shapes whenever the image changes.
+# Set to true to clear exclusion shapes whenever the image changes in the preview viewer.
 reset_exclusions_on_image_change = false
+
 # Hex color code for the match overlay (e.g. "#ff0000" for Red, "#00ff00" for Green)
+# This is the color that paints over pixels that successfully match your HSV ranges.
 overlay_color = "#ff0000"
 
+# Hex color code for the background to be excluded (default #1f2937)
+# This is useful for automatically removing flat background colors from UI screenshots
+# or web scrapings before the analysis runs.
+exclude_bg_color = "#1f2937"
+
+# Tolerance for background color matching (0-255, default 5)
+# A higher value will exclude pixels that are "close" to the hex color above, allowing
+# you to bypass slight compression artifacts or noise in the image background.
+exclude_bg_tolerance = 5
+
 [defaults]
-# Override any of the following keys to tweak the initial slider values:
-# hue_min, hue_max, sat_min, val_min, val_max accept floating point numbers.
-# alpha accepts an integer between 0 and 255.
-hue_min = 250.0
-hue_max = 310.0
-sat_min = 15.0
-val_min = 15.0
-val_max = 100.0
-alpha = 120
+# Override any of the following to tweak the initial slider values upon application start.
+hue_min = 250.0  # (0-360) Starting Hue for the target color range
+hue_max = 310.0  # (0-360) Ending Hue for the target color range
+sat_min = 15.0   # (0-100) Minimum Saturation percentage
+sat_max = 100.0  # (0-100) Maximum Saturation percentage
+val_min = 15.0   # (0-100) Minimum Value/Brightness percentage
+val_max = 100.0  # (0-100) Maximum Value/Brightness percentage
+alpha = 150      # (0-255) Opacity of the red overlay in the UI preview
+
+[weights]
+# Contribution of each measurement to the final Composite Score (0-100%).
+match_all = 20   # % of the total visible image that matches
+match_keep = 30  # % of the non-excluded area that matches (the most important area)
+brightness = 10  # % Importance of Vibrance (or Darkness if "Prefer Darkness" is on)
+grouping = 10    # % Importance of pixel clustering (rewarding solid color blocks)
+continuity = 15  # % Quality of the largest connected surface area
+border = 15      # % Quality of the transition edges (penalizing dark/hard outlines)

pyproject.toml

@@ -4,7 +4,7 @@ version = "0.1.0"
 description = "Interactive Color Range Analyzer (ICRA) desktop app (PySide6)"
 readme = "README.md"
 authors = [{ name = "ICRA contributors" }]
-license = "MIT"
+license = "GPL-3.0-only"
 requires-python = ">=3.10"
 dependencies = [
     "numpy>=1.26",

tests/test_file_paths.py

@@ -0,0 +1,72 @@
+import pytest
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+from PySide6 import QtWidgets
+from app.qt.main_window import MainWindow
+from app.qt.pattern_puller import PatternDownloadWorker
+
+
+@pytest.fixture
+def qt_app():
+    from PySide6.QtWidgets import QApplication
+    import sys
+    app = QApplication.instance()
+    if app is None:
+        app = QApplication(sys.argv)
+    yield app
+
+
+def test_export_settings_path_generation(qt_app, tmp_path):
+    mock_widget = QtWidgets.QWidget()
+    mock_widget.title_label = MagicMock()
+    mock_widget.apply_theme = MagicMock()
+    with patch('app.qt.main_window.TitleBar', return_value=mock_widget):
+        window = MainWindow(language="en", defaults={}, reset_exclusions=False)
+    
+    with patch("PySide6.QtWidgets.QFileDialog.getSaveFileName", return_value=("", "")) as mock_get_save:
+        
+        # Test case 1: New subfolder structure (analyses/m4a1-s/images/1.png)
+        root = tmp_path / "analyses" / "m4a1_s"
+        img_dir = root / "images"
+        img_dir.mkdir(parents=True)
+        img_path = img_dir / "1.png"
+        
+        window._current_image_path = img_path
+        window.export_settings()
+        
+        # Verify settings directory was created
+        assert (root / "settings").exists()
+        
+        # Verify default path given to QFileDialog
+        args, kwargs = mock_get_save.call_args
+        # args[2] is the default path string
+        expected_path = str(root / "settings" / "icra_settings_m4a1_s.json")
+        assert args[2] == expected_path
+
+
+def test_export_folder_path_generation(qt_app, tmp_path):
+    mock_widget = QtWidgets.QWidget()
+    mock_widget.title_label = MagicMock()
+    mock_widget.apply_theme = MagicMock()
+    with patch('app.qt.main_window.TitleBar', return_value=mock_widget):
+        window = MainWindow(language="en", defaults={}, reset_exclusions=False)
+
+    with patch("PySide6.QtWidgets.QFileDialog.getSaveFileName", return_value=("", "")) as mock_get_save:
+        # Mock processor paths
+        root = tmp_path / "analyses" / "m4a1_s"
+        img_dir = root / "images"
+        img_dir.mkdir(parents=True)
+        window.processor.preview_paths = [img_dir / "1.png"]
+        
+        window.export_folder()
+        
+        assert (root / "results").exists()
+        args, kwargs = mock_get_save.call_args
+        expected_path = str(root / "results" / "icra_results_m4a1_s.csv")
+        assert args[2] == expected_path
+
+
+def test_pattern_download_worker_dir(tmp_path):
+    worker = PatternDownloadWorker(slug="test-slug", save_dir=tmp_path / "analyses" / "test-slug" / "images")
+    assert worker.save_dir == tmp_path / "analyses" / "test-slug" / "images"

tests/test_i18n.py

@@ -0,0 +1,73 @@
+import pytest
+from pathlib import Path
+import re
+
+# Base directory for language files
+LANG_DIR = Path(__file__).resolve().parent.parent / "app" / "lang"
+
+def get_structure(file_path: Path):
+    """
+    Returns a list of (line_number, key/header) for a TOML file.
+    Only captures keys and section headers, ignoring the values.
+    """
+    structure = []
+    # Regex to capture "key" = or [header]
+    key_pattern = re.compile(r'^\s*"?([^"\s=]+)"?\s*=')
+    header_pattern = re.compile(r'^\s*\[([^\]]+)\]')
+    
+    with open(file_path, "r", encoding="utf-8") as f:
+        for i, line in enumerate(f, 1):
+            line = line.strip()
+            if not line:
+                structure.append((i, "<empty>"))
+                continue
+            
+            # Check for header [section]
+            header_match = header_pattern.match(line)
+            if header_match:
+                structure.append((i, f"[{header_match.group(1)}]"))
+                continue
+                
+            # Check for key "name" =
+            key_match = key_pattern.match(line)
+            if key_match:
+                structure.append((i, key_match.group(1)))
+                continue
+                
+            # Comments or anything else
+            structure.append((i, "<other/comment>"))
+            
+    return structure
+
+def test_i18n_files_exist():
+    assert LANG_DIR.exists(), f"Language directory {LANG_DIR} not found"
+    en_file = LANG_DIR / "en.toml"
+    assert en_file.exists(), "English language file (en.toml) must exist as baseline"
+
+def test_i18n_synchronization():
+    """
+    Ensures all language files have the same keys/headers on the same lines
+    as the baseline en.toml.
+    """
+    en_path = LANG_DIR / "en.toml"
+    en_structure = get_structure(en_path)
+    
+    other_files = list(LANG_DIR.glob("*.toml"))
+    other_files.remove(en_path)
+    
+    for lang_file in other_files:
+        lang_name = lang_file.name
+        lang_structure = get_structure(lang_file)
+        
+        # Check line count
+        assert len(lang_structure) == len(en_structure), \
+            f"{lang_name} length mismatch: expected {len(en_structure)} lines, got {len(lang_structure)}"
+            
+        # Check line-by-line sync
+        for (en_line, en_key), (lang_line, lang_key) in zip(en_structure, lang_structure):
+            assert en_key == lang_key, \
+                f"Sync error at {lang_name}:{lang_line}. Expected '{en_key}', found '{lang_key}'"
+
+if __name__ == "__main__":
+    # Allow running directly as a script
+    pytest.main([__file__])

tests/test_image_processor.py

@@ -12,22 +12,24 @@ def test_stats_summary():
         matches_excl=10, total_excl=20
     )
     
-    # Mock translator
     def mock_t(key, **kwargs):
         if key == "stats.placeholder":
             return "Placeholder"
-        return f"{kwargs['with_pct']:.1f} {kwargs['without_pct']:.1f} {kwargs['excluded_pct']:.1f} {kwargs['excluded_match_pct']:.1f}"
+        if not kwargs:
+            return key
+        return f"{kwargs['with_pct']:.1f} {kwargs['without_pct']:.1f} {kwargs['excluded_pct']:.1f}"
 
-    res = s.summary(mock_t)
+    weights = {"match_all": 30, "match_keep": 50, "brightness": 10, "grouping": 10}
+    res = s.summary(mock_t, weights)
     # with_pct: 40/80 = 50.0
     # without_pct: 50/100 = 50.0
     # excluded_pct: 20/100 = 20.0
-    # excluded_match_pct: 10/20 = 50.0
-    assert res == "50.0 50.0 20.0 50.0"
+    assert res == "50.0 50.0 20.0"
 
 def test_stats_empty():
     s = Stats()
-    assert s.summary(lambda k, **kw: "Empty") == "Empty"
+    weights = {"match_all": 30, "match_keep": 50, "brightness": 10, "grouping": 10}
+    assert s.summary(lambda k, **kw: "Empty", weights) == "Empty"
 
 
 def test_rgb_to_hsv_numpy():
@@ -121,3 +123,52 @@ def test_coordinate_scaling():
     assert s_large.total_all == 1000000
     assert s_large.total_keep == 500000
     assert s_large.total_excl == 500000
+
+def test_calculate_grouping_score():
+    proc = QtImageProcessor()
+    
+    # 1. Empty mask
+    mask_empty = np.zeros((20, 20), dtype=bool)
+    assert proc._calculate_grouping_score(mask_empty) == 0.0
+    
+    # 2. Single mask pixel (0 neighbors)
+    mask_single = np.zeros((20, 20), dtype=bool)
+    mask_single[10, 10] = True
+    assert proc._calculate_grouping_score(mask_single) == 0.0
+    
+    # 3. 2x2 block
+    # each pixel in 2x2 has 3 neighbors in 3x3, 3 neighbors in 5x5, 3 neighbors in 9x9.
+    # score = ((3/80)^2) * 100
+    expected_2x2 = ((3/80.0)**2) * 100.0
+    mask_block = np.zeros((20, 20), dtype=bool)
+    mask_block[10:12, 10:12] = True
+    assert pytest.approx(proc._calculate_grouping_score(mask_block)) == expected_2x2
+    
+    # 4. 9x9 block
+    # center pixel has 80 neighbors (100% density).
+    # many pixels have high density.
+    mask_9x9 = np.zeros((20, 20), dtype=bool)
+    mask_9x9[5:14, 5:14] = True
+    res_9x9 = proc._calculate_grouping_score(mask_9x9)
+    assert res_9x9 > expected_2x2
+    # For a 9x9 block, the center pixel is 100%. Boundary pixels are less.
+    # 1 center pixel = 80/80 = 1.0. 
+    # Overall it should be a healthy percentage.
+    assert res_9x9 > 10.0 # significant grouping
+
+def test_export_worker_error():
+    from app.qt.image_processor import _export_worker
+    
+    # 1. Provide a missing file to trigger an exception during Image.open()
+    res1 = _export_worker(("missing_file.png", {
+        "hue_min": 0, "hue_max": 360, "sat_min": 0, "sat_max": 100,
+        "val_min": 0, "val_max": 100, "exclude_bg": False,
+        "exclude_bg_rgb": (0, 0, 0), "exclude_bg_tolerance": 5,
+        "prefer_dark": False, "exclude_shapes": [], "exclude_ref_size": None,
+        "weights": {}
+    }))
+    assert res1 == ("missing_file.png", None, None, None, None, None)
+    
+    # 2. Provide an empty params dict to trigger KeyError before opening image
+    res2 = _export_worker(("dummy.png", {}))
+    assert res2 == ("dummy.png", None, None, None, None, None)