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10.Image edge detection

Image edge detection

Image edge detection1. Implementation principle2. Implementation effect3. Implementation code

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)

Image binarization

Add line segments