Image edge detection

1. Implementation principle

Use cv2.Canny() function to detect the edge of the image.

2. Implementation effect

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cd ~/opencv

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python3 10.image_edge.py

Note: Select the image and press q to exit the program!

3. Implementation code

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import cv2
​
def edge_detection(input_path, output_path, threshold1, threshold2):
    image = cv2.imread(input_path, cv2.IMREAD_GRAYSCALE)
    if image is None:
        print("Error: Unable to open image file.")
        return
    edges = cv2.Canny(image, threshold1, threshold2)
    if cv2.imwrite(output_path, edges):
        print(f"Image saved to {output_path}")
        cv2.imshow('Image Preview', cv2.imread(output_path))
        cv2.waitKey(0)
        cv2.destroyAllWindows()
    else:
        print("Error: Unable to save image file.")
​
edge_detection('/home/jetson/opencv/images/yahboom_logo.png', \
               '/home/jetson/opencv/images/yahboom_logo_edge.png', \
               100, 200)