| import cv2 |
| import numpy as np |
|
|
| # Load the image (assuming it's a binary image with edges) |
| image = cv2.imread('path/to/edge_detected_image.jpg', cv2.IMREAD_GRAYSCALE) |
|
|
| # Apply morphological operations to clean up the edges |
| kernel = np.ones((5, 5), np.uint8) |
| closed_image = cv2.morphologyEx(image, cv2.MORPH_CLOSE, kernel) |
|
|
| # Find contours in the closed image |
| contours, _ = cv2.findContours(closed_image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) |
|
|
| # Create a mask for the exterior contours |
| mask = np.zeros_like(image) |
| cv2.drawContours(mask, contours, -1, (255), thickness=cv2.FILLED) |
|
|
| # Apply the mask to the original image to get only the exterior edges |
| exterior_edges = cv2.bitwise_and(image, mask) |
|
|
| # Display the result or save it to a file |
| cv2.imshow('Exterior Edges', exterior_edges) |
| cv2.waitKey(0) |
| cv2.destroyAllWindows() |
|
|
