Watershed method. Jul 23, 2025 · The watershed algorithm divides an image into segments using topographic information. The watershed is a classical algorithm used for segmentation, that is, for separating different objects in an image. It treats the image as a topographic surface, identifying catchment basins based on pixel intensity. The basic idea of watershed segmentation is to flood the topographic map and letting water rise through the valleys at a uniform rate. The name refers metaphorically to a geological watershed, or drainage divide, which separates adjacent drainage basins. In the study of image processing, a watershed is a transformation defined on a grayscale image. What we do is to give different labels for our object we know. Starting from user-defined markers, the watershed algorithm treats pixels values as a local topography (elevation). A very common biological sample for microscopy is DAPI stained DNA in cell nuclei. Watershed separation is a technique for cutting apart connected components into separate ones. Watershed Segmentation is 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, and is commonly used in medical image segmentation tasks. Jan 8, 2013 · So OpenCV implemented a marker-based watershed algorithm where you specify which are all valley points are to be merged and which are not. When the rising water of two distinct valleys is about to merge, a dam is built to prevent the merging. It is often useful on blob-like structures such as cell nuclei. It is an interactive image segmentation. . xokqewfl kuulre lcea bilt fidn vwtg lurh qfv rsobw ywnx