Update app.py

app.py

@@ -163,8 +163,18 @@ def process_image(selected_image):
     # blurred_img = cv2.GaussianBlur(gray_image, (3, 3), 0)
 
     # Apply adaptive thresholding
+
+    # Let's assume `image` is your grayscale image array
+    height, width = gray_image.shape
+    
+    # Example: setting block size to 1/30th of the average image dimension, making sure it's odd.
+    block_size = ((height + width) // 2) // 30
+    block_size = block_size + 1 if block_size % 2 == 0 else block_size
+    
+    # Example: setting offset to a small fraction of the global mean intensity.
+    offset = np.mean(image) * 0.05
     
-    adaptive_threshold = filters.threshold_local(gray_image, block_size=35, offset=10)
+    adaptive_threshold = filters.threshold_local(gray_image, block_size, offset)
     
     binary_adaptive = gray_image > adaptive_threshold