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    Home»Machine Learning»Story 10: Edge & Corner Detection – Finding Features in Images! ✨ | by David khaldi | Feb, 2025
    Machine Learning

    Story 10: Edge & Corner Detection – Finding Features in Images! ✨ | by David khaldi | Feb, 2025

    Team_AIBS NewsBy Team_AIBS NewsFebruary 9, 2025No Comments1 Min Read
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    If Canny is the Ferrari of edge detection, Sobel and Laplacian are the dependable Toyotas – easier however efficient.

    Methodology 2: Sobel – Detecting Horizontal & Vertical Edges

    # Apply Sobel operator
    sobel_x = cv2.Sobel(picture, cv2.CV_64F, 1, 0, ksize=5) # Detects vertical edges
    sobel_y = cv2.Sobel(picture, cv2.CV_64F, 0, 1, ksize=5) # Detects horizontal edges

    cv2.imshow("Sobel X", sobel_x)
    cv2.imshow("Sobel Y", sobel_y)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    🔴What’s Taking place?

    Sobel X finds vertical edges

    Sobel Y finds horizontal edges

    Nice for detecting directional particulars!

    ✅ Why Use Sobel?

    • Quicker than Canny ⏩
    • Helpful to detect textures & patterns

    🍓Methodology 3: Laplacian – The All-Course Edge Detector

    # Apply Laplacian operator
    laplacian = cv2.Laplacian(picture, cv2.CV_64F)

    cv2.imshow("Laplacian", laplacian)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    🔴What’s Taking place?

    In contrast to Sobel, it detects edges in all instructions.

    Finest for highlighting fantastic particulars! ????

    ✅ Why Use Laplacian?

    • Tremendous easy & environment friendly
    • Works good for noisy pictures!



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