Watershed segmentation. Learn how to use the watershed transform, a powerful tool for solving image segmentation problems, with new functions in the Image Processing Toolbox. See examples of segmenting binary, quantum dot, and steel grain images. See code examples, theory, and additional resources on watershed transformation. Then, I will demonstrate a case study on digital pathology by highlighting Learn about watershed segmentation, a region-based method in computer science that treats an image as a topographic landscape, separating it into catchment basins based on pixel values or gradients. Jan 8, 2013 · Learn how to use marker-based watershed algorithm to segment mutually touching objects in grayscale images. Find chapters and articles on the principle, variants, applications and challenges of this method in medical image segmentation. Sep 3, 2021 · For today’s article, I will introduce a watershed segmentation, which can segment objects without the help of CNN. Jul 23, 2025 · In conclusion, the watershed algorithm is a powerful image segmentation technique that uses topographic information to divide an image into multiple segments or regions. Explore different definitions, algorithms, and applications of watersheds in image processing. Learn how to use the watershed algorithm for separating different objects in an image, with code and visualization. The algorithm floods basins from user-defined markers, such as local minima of the image distance to the background. Learn about the watershed transformation, a method for segmenting objects in an image based on a metaphorical drainage divide. . mei hgfh frde xbwbg rwiwdx irxkl qwazrg wakzpv bqxgk uqzlapk