detect_cracks("path_to_your_image.jpg") This example demonstrates a basic crack detection approach. For a comprehensive feature like WM Crack, development would involve expanding on this foundation, integrating more sophisticated analysis, and providing a robust user interface.
def detect_cracks(image_path): image = cv2.imread(image_path) # Convert to grayscale gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Apply threshold _, thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU) # Find contours contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) for contour in contours: area = cv2.contourArea(contour) # Filter by area to consider only significant cracks if area > 100: # Draw a bounding rectangle around the crack x, y, w, h = cv2.boundingRect(contour) cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2) cv2.imshow("Cracks Detected", image) cv2.waitKey(0) cv2.destroyAllWindows() wm crack