MATLAB Implementation of CANNY Edge Detection Algorithm
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The CANNY edge detection algorithm is a widely used image processing technique in MATLAB that efficiently identifies edges within digital images. This implementation provides a comprehensive approach including Gaussian filtering for noise reduction, gradient calculation using Sobel operators, non-maximum suppression for edge thinning, and double thresholding with hysteresis for edge connectivity. The code structure demonstrates clear function segmentation with key MATLAB functions like imgaussfilt() for Gaussian smoothing, gradient() for intensity variation detection, and edge() with 'canny' parameter for optimized results. The algorithm's multi-stage processing ensures accurate edge detection while maintaining simplicity for educational and practical applications.
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