draw histogram moved to image_processor.py

core/image_processor.py

@@ -262,3 +262,41 @@ class ImageProcessor:
                     )
 
         return image
+
+    @staticmethod
+    def draw_dynamic_histogram(composite: np.ndarray,
+                               input_black: int, input_white: int,
+                               gamma: float) -> np.ndarray:
+        """Creates histogram visualization with dynamic control lines"""
+        # Convert to grayscale for histogram calculation
+        gray = cv2.cvtColor(composite, cv2.COLOR_RGB2GRAY) if len(composite.shape) == 3 else composite
+
+        # Calculate histogram
+        hist = cv2.calcHist([gray], [0], None, [256], [0, 256])
+        hist_img = np.zeros((200, 256, 3), dtype=np.uint8)
+        cv2.normalize(hist, hist, 0, hist_img.shape[0], cv2.NORM_MINMAX)
+
+        # Draw histogram baseline
+        for i in range(1, 256):
+            cv2.line(hist_img,
+                     (i - 1, 200 - int(hist[i - 1])),
+                     (i, 200 - int(hist[i])),
+                     (128, 128, 128), 1)
+
+        # Calculate gamma position
+        gamma_pos = int(255 * (0.5 ** (1 / gamma)))
+
+        # Draw control lines
+        cv2.line(hist_img, (input_black, 0), (input_black, 200), (255, 0, 0), 2)  # Blue - black level
+        cv2.line(hist_img, (input_white, 0), (input_white, 200), (0, 255, 0), 2)  # Green - white level
+        cv2.line(hist_img, (gamma_pos, 0), (gamma_pos, 200), (255, 255, 255), 2)  # White - gamma
+
+        # Add legend
+        cv2.putText(hist_img, f"Black: {input_black}", (10, 20),
+                    cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 1)
+        cv2.putText(hist_img, f"White: {input_white}", (10, 40),
+                    cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 1)
+        cv2.putText(hist_img, f"Gamma: {gamma:.2f}", (10, 60),
+                    cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
+
+        return hist_img