Update tempo.txt

tempo.txt

@@ -7,23 +7,31 @@ mask = cv2.imread('mask_image.png', cv2.IMREAD_GRAYSCALE)  # Replace 'mask_image
 # Apply Gaussian blur to the image to reduce noise
 blurred = cv2.GaussianBlur(mask, (5, 5), 0)
 
-# Apply Hough Circle Transform to detect circles
-circles = cv2.HoughCircles(blurred, cv2.HOUGH_GRADIENT, dp=1, minDist=20, param1=50, param2=30, minRadius=0, maxRadius=0)
-
-if circles is not None:
-    circles = np.uint16(np.around(circles))
-    
-    # Filter out semicircles based on the position of the circle centers
-    semicircles = [circle[0] for circle in circles[0] if circle[1] < mask.shape[0] / 2]
-
-    # Draw the semicircles on a blank image
-    semicircle_image = np.zeros_like(mask)
-    for (x, y, r) in semicircles:
-        cv2.circle(semicircle_image, (x, y), r, (255, 255, 255), thickness=cv2.FILLED)
-
-    # Display the image with the semicircles
-    cv2.imshow('Semicircles in Mask', semicircle_image)
-    cv2.waitKey(0)
-    cv2.destroyAllWindows()
-else:
-    print("No semicircles found in the image.")
+# Detect edges using Canny edge detection
+edges = cv2.Canny(blurred, threshold1=50, threshold2=150)
+
+# Find contours in the edge-detected image
+contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+# Initialize an empty list to store half ellipses
+half_ellipses = []
+
+# Iterate through the contours
+for contour in contours:
+    # Fit an ellipse to the contour
+    if len(contour) >= 5:
+        ellipse = cv2.fitEllipse(contour)
+        
+        # Check if the angle of the fitted ellipse is close to 180 degrees (half ellipse)
+        if 170 < ellipse[2] < 190:
+            half_ellipses.append(ellipse)
+
+# Draw the detected half ellipses on a blank image
+half_ellipse_image = np.zeros_like(mask)
+for ellipse in half_ellipses:
+    cv2.ellipse(half_ellipse_image, ellipse, (255, 255, 255), thickness=cv2.FILLED)
+
+# Display the image with the detected half ellipses
+cv2.imshow('Half Ellipses in Mask', half_ellipse_image)
+cv2.waitKey(0)
+cv2.destroyAllWindows()