Watershed Algorithm Image Segmentation Implementation in MATLAB

Watershed algorithm image segmentation is implemented in the MATLAB environment. Image segmentation is a fundamental task in digital image processing that aims to divide digital images into multiple non-overlapping regions, ensuring these regions correspond to objects or areas in the original image. The watershed algorithm is a topology-based segmentation method that conceptualizes images as topographic maps and utilizes water flow simulation principles for segmentation. In MATLAB implementation, key functions like watershed(), imimposemin(), and gradient magnitude calculation using imgradient() are typically employed. The standard workflow involves: 1) Computing the image gradient to identify catchment basins, 2) Applying marker-controlled watershed transformation to prevent over-segmentation, and 3) Visualizing segmented regions using label2rgb() for clear distinction. MATLAB provides convenient access to various image processing functions through the Image Processing Toolbox, while its graphical interface enables real-time visualization of algorithm results. This facilitates better understanding of algorithmic principles and performance evaluation through interactive parameter adjustments and result comparison tools.