Watershed segmentation using OpenCV


Watershed segmentation using OpenCV

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Watershed segmentation using OpenCV


         The watershed is a classical algorithm used for segmentation, that is, for separating different objects in an image Starting from user-defined markers, the watershed algorithm treats pixels values as a local topography (elevation). The algorithm floods basins from the markers until basins attributed to different markers meet on watershed lines. In many cases, markers are chosen as local minima of the image, from which basins are flooded.The “marker-based” means labeling where the region is a foreground or a background, and give different labels for our object we know. Using one color (or intensity), we label the region which we are sure of being the foreground or being background with another color. Then, for the region we are not sure of anything, label it with 0. That is our marker.After that, we apply watershed algorithm. Then our marker will be updated with the labels we gave, and the boundaries of objects will have a value of -1.


  •  Medical image segmentation tasks

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