Oversegmentation avoidance in watershed-based algorithms for color images

The article presents own implementation of well-known region-based image segmentation method, the watershed transform. The implementation was intended for color image processing. In its original version, the watershed is a parameter-free algorithm, which often performs too accurate segmentation for a query image. Our modification introduces the second pass to the method that removes some irrelevant splitting lines and thus merges the regions. The algorithm was tested on microscopic histological images for cancer cell detection.