Image Segmentation Using Decomposed Canny Operator
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This MATLAB program implements image segmentation using the Canny operator decomposition approach. The method performs image segmentation by detecting edges within the image, resulting in clearer and more informative output. The implementation typically involves several key stages: Gaussian filtering for noise reduction, gradient magnitude and direction calculation using Sobel operators, non-maximum suppression to thin edges, and double thresholding with hysteresis to connect weak edge pixels. The decomposed approach allows for modular testing and optimization of each processing stage, enabling better control over edge detection parameters such as sigma values for smoothing and threshold settings for edge connectivity.
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