Update app.py

app.py

@@ -58,39 +58,8 @@ def simple_threshold_blue(image_bgr):
     total_pixels = image_bgr.shape[0] * image_bgr.shape[1]
     perc_blue = (blue_pixels / total_pixels) * 100
     return perc_blue, mask
-    
-"""
-def advanced_threshold_blue(image_bgr):
-    """
-    Advanced approach:
-      1) Multiple color ranges for deep & light blues
-      2) Morphological cleaning
-      3) Count ratio of blue pixels
-    """
-    hsv = cv2.cvtColor(image_bgr, cv2.COLOR_BGR2HSV)
-
-    # Range 1: Deeper/darker blues
-    lower_blue1 = np.array([90, 50, 50], dtype=np.uint8)
-    upper_blue1 = np.array([130, 255, 255], dtype=np.uint8)
-    mask1 = cv2.inRange(hsv, lower_blue1, upper_blue1)
-    
-    # Range 2: Lighter or near-cyan
-    lower_blue2 = np.array([80, 30, 50], dtype=np.uint8)
-    upper_blue2 = np.array([100, 255, 255], dtype=np.uint8)
-    mask2 = cv2.inRange(hsv, lower_blue2, upper_blue2)
 
-    combined_mask = cv2.bitwise_or(mask1, mask2)
 
-    # Morphological cleaning
-    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3,3))
-    cleaned_mask = cv2.morphologyEx(combined_mask, cv2.MORPH_OPEN, kernel)
-    cleaned_mask = cv2.morphologyEx(cleaned_mask, cv2.MORPH_CLOSE, kernel)
-
-    blue_pixels = cv2.countNonZero(cleaned_mask)
-    total_pixels = image_bgr.shape[0] * image_bgr.shape[1]
-    perc_blue = (blue_pixels / total_pixels) * 100
-    return perc_blue, cleaned_mask 
-"""
 
 def plot_color_histogram(image_bgr):
     """
@@ -182,18 +151,7 @@ else:
         st.image(simple_mask, caption="Simple Mask (white=detected blue)", width=250)
 
     st.markdown("---")
-"""
-    # Advanced Threshold
-    st.subheader("3) Advanced Threshold Approach")
-    adv_perc_blue, adv_mask = advanced_threshold_blue(img_bgr)
-
-    col5, col6 = st.columns(2)
-    with col5:
-        st.write(f"**Blue Percentage (Advanced):** {adv_perc_blue:.2f}%")
-        st.progress(min(adv_perc_blue/100, 1.0))
-    with col6:
-        st.image(adv_mask, caption="Advanced Mask (white=detected blue)", width=250)
-"""
+
 st.markdown("""
 ---
 ## Relevance to ITC PSPD: