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

README.md

@@ -10,15 +10,15 @@
 - **High-Performance Image Processing:** Native, vectorized NumPy operations for lightning-fast HSV conversion and color matching.
 - **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.
-- **Import/Export Settings:** Save your HSV ranges, exclusion zones, and weighting preferences to a JSON file and reload them later for consistent analysis across different sessions.
+- **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
@@ -43,6 +43,9 @@ To ensure accurate statistics, ICRA automatically filters out the image backgrou
 ### 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.

app/i18n.py

@@ -40,11 +40,12 @@ 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():
+    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"
@@ -25,6 +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"
@@ -45,17 +46,19 @@
 "sliders.val_max" = "Helligkeit Max (%)"
 "sliders.alpha" = "Overlay Alpha"
 "stats.placeholder" = "Markierungen (mit Ausschlüssen): —"
-"stats.summary" = "Wertung: {score:.2f}%    |    Treffer (mit Exkl.): {with_pct:.2f}%    |    Treffer: {without_pct:.2f}%    |    {brightness_label}: {brightness:.1f}%    |    Gruppierung: {grouping:.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."
@@ -81,7 +84,9 @@
 "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 laden"
@@ -98,5 +103,26 @@
 "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" = "Die Summe muss genau 100% sein (aktuell {total}%)."
+"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"
@@ -25,6 +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"
@@ -45,17 +46,19 @@
 "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}%    |    Grouping: {grouping:.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."
@@ -81,7 +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"
@@ -98,5 +103,26 @@
 "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

@@ -8,6 +8,7 @@ from .constants import (
     OVERLAY_COLOR,
     EXCLUDE_BG_COLOR,
     EXCLUDE_BG_TOLERANCE,
+    WEIGHTS,
     PREVIEW_MAX_SIZE,
     RESET_EXCLUSIONS_ON_IMAGE_CHANGE,
     SUPPORTED_IMAGE_EXTENSIONS,
@@ -20,7 +21,7 @@ __all__ = [
     "LANGUAGE",
     "OVERLAY_COLOR",
     "EXCLUDE_BG_COLOR",
-    "EXCLUDE_BG_TOLERANCE",
+    "WEIGHTS",
     "PREVIEW_MAX_SIZE",
     "RESET_EXCLUSIONS_ON_IMAGE_CHANGE",
     "SUPPORTED_IMAGE_EXTENSIONS",

app/logic/constants.py

@@ -101,6 +101,15 @@ _OPTION_DEFAULTS = {
     "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]:
     section = data.get("options")
@@ -122,6 +131,18 @@ def _extract_options(data: dict[str, Any]) -> dict[str, Any]:
     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
+
+
 DEFAULTS = {**_DEFAULTS_BASE, **_extract_default_overrides(_CONFIG_DATA)}
 LANGUAGE = _extract_language(_CONFIG_DATA)
 OPTIONS = {**_OPTION_DEFAULTS, **_extract_options(_CONFIG_DATA)}
@@ -129,3 +150,4 @@ 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

@@ -46,11 +46,12 @@ def create_application() -> QtWidgets.QApplication:
 def run() -> int:
     """Run the PySide6 GUI."""
     app = create_application()
-    from app.logic import OVERLAY_COLOR, EXCLUDE_BG_COLOR, EXCLUDE_BG_TOLERANCE
+    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,

app/qt/image_processor.py

@@ -24,6 +24,8 @@ class Stats:
     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
@@ -36,16 +38,20 @@ class Stats:
         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
         
-        # weights keys: match_all, match_keep, brightness, grouping
+        # 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", 50) / 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_group * self.grouping_score +
+                w_cont * self.continuity_score +
+                w_bord * self.border_score)
 
     def summary(self, translate, weights: dict[str, int]) -> str:
         if self.total_all == 0:
@@ -63,6 +69,8 @@ class Stats:
             brightness_label=brightness_label,
             brightness=self.effective_brightness,
             grouping=self.grouping_score,
+            continuity=self.continuity_score,
+            border=self.border_score,
             excluded_pct=excluded_pct,
         )
 
@@ -98,6 +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."""
 
@@ -143,10 +366,12 @@ class QtImageProcessor:
         self.exclude_bg_rgb: Tuple[int, int, int] = (31, 41, 55)
         self.exclude_bg_tolerance: int = 5
         self.weights: Dict[str, int] = {
-            "match_all": 30,
-            "match_keep": 50,
+            "match_all": 20,
+            "match_keep": 20,
             "brightness": 10,
-            "grouping": 10
+            "grouping": 10,
+            "continuity": 20,
+            "border": 20
         }
 
     def set_defaults(self, defaults: dict) -> None:
@@ -290,11 +515,24 @@ 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)
         overlay_arr[keep_match, 0] = self.overlay_r
@@ -312,6 +550,8 @@ class QtImageProcessor:
             total_excl=total_excl,
             brightness_score=brightness,
             grouping_score=grouping,
+            continuity_score=continuity,
+            border_score=border,
             prefer_dark=self.prefer_dark,
         )
 
@@ -364,8 +604,20 @@ class QtImageProcessor:
         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()),
@@ -376,6 +628,8 @@ class QtImageProcessor:
             total_excl=int((visible & excl_mask).sum()),
             brightness_score=brightness,
             grouping_score=grouping,
+            continuity_score=continuity,
+            border_score=border,
             prefer_dark=self.prefer_dark,
         )
 
@@ -404,6 +658,79 @@ class QtImageProcessor:
         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:
@@ -546,7 +873,33 @@ class QtImageProcessor:
         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

@@ -153,6 +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)
@@ -434,11 +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)
 
@@ -538,6 +552,8 @@ class WeightingDialog(QtWidgets.QDialog):
             ("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):
@@ -594,7 +610,7 @@ class WeightingDialog(QtWidgets.QDialog):
 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, exclude_bg_color: str | None = None, exclude_bg_tolerance: int = 5) -> 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"))
@@ -614,6 +630,7 @@ 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
@@ -639,6 +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"
@@ -696,54 +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)
+        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"))
-        view_menu.addAction(self.exclude_bg_action)
+        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.addSeparator()
-        view_menu.addAction("📁 " + self._t("toolbar.open_app_folder"), lambda: self._invoke_action("open_app_folder"))
+        # 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
@@ -757,16 +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"))
@@ -966,6 +1014,11 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         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(),
@@ -1021,6 +1074,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
             "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
         }
@@ -1028,7 +1082,7 @@ 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))
 
@@ -1061,12 +1115,16 @@ 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", "sat_max", "val_min", "val_max", "alpha"]
             for key in keys:
@@ -1097,7 +1155,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
 
             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))
@@ -1147,62 +1205,78 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         delimiter = ";"
         decimal = ","
 
+        # 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,
-            self._t("stats.grouping_label"),
+            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)
-                grouping_str = f"{s.grouping_score:.2f}".replace(".", decimal)
-                composite_str = f"{s.composite_score(self.processor.weights):.2f}".replace(".", decimal)
-
-                img.close()
-                return [
-                    img_path.name,
-                    self._current_color,
-                    pct_all_str,
-                    pct_keep_str,
-                    pct_excl_str,
-                    brightness_str,
-                    grouping_str,
-                    composite_str
-                ]
-            except Exception:
-                return [img_path.name, self._current_color, "Error", "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)]
@@ -1217,7 +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:
@@ -1245,6 +1319,18 @@ 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, update_range: bool = False) -> None:
@@ -1252,7 +1338,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         self.current_color_swatch.setStyleSheet(f"background-color: {hex_code}; border-radius: 6px;")
         self.current_color_label.setText(f"({hex_code})")
         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
@@ -1286,7 +1372,7 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
     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:
@@ -1296,7 +1382,7 @@ 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()
 
     # Shortcuts --------------------------------------------------------------
@@ -1308,8 +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:
@@ -1327,13 +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)
@@ -1362,19 +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()
@@ -1432,15 +1567,41 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
         hex_code = color.name()
         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:
@@ -1448,14 +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
@@ -1476,12 +1637,12 @@ class MainWindow(QtWidgets.QMainWindow, I18nMixin):
     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"
@@ -1504,6 +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;")
@@ -1611,7 +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)
             )
             

config.toml

@@ -3,23 +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
-sat_max = 100.0
-val_min = 15.0
-val_max = 100.0
-alpha = 150
+# 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)

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

@@ -155,3 +155,20 @@ def test_calculate_grouping_score():
     # 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)