Watershed Transform Processing for Test Images
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This MATLAB simulation file is designed to perform watershed transform processing on test images. In this simulation, we implement the watershed segmentation algorithm using MATLAB programming language to partition and analyze experimental images. The algorithm enables better understanding of regional characteristics and fine details within images, facilitating further research on image processing applications and techniques. During processing, we utilize fundamental image processing functions including grayscale conversion (rgb2gray), image smoothing (imgaussfilt), and edge detection (edge, canny). The watershed transform is implemented using MATLAB's watershed function, typically applied to gradient magnitude images to identify catchment basins and watershed lines. By processing test images with watershed transformation, we achieve more accurate and clear segmentation results, thereby enhancing the effectiveness and quality of image processing.
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