A Study on Region-Based Image Segmentation Techniques
D. N. Sonar, J. R. Kawale · International Journal of Advanced Research in Science Communication and Technology · 2022
This paper addresses the comparison of two popular region-based image segmentation techniques namely the Watershed method and the Mean-shift method. The watershed method is a mathematical morphology based image segmentation approach while Mean-shift method is a data-clustering method that searches for the local maximal density points and then groups all the data to the clusters defined by these maximal density points. Here the efficiency of the both segmentation techniques is presented