Image Segmentation about the Touched Object Based on Improved Method of Watershed Algorithm

In this paper, the drawback of the watershed algorithm applied to image segmentation is analyzed. It is too sensitive to the noise and the weak edge. To improve the problem that the algorithm is easy to produce over-segmenta- tion results, i.e., generating excess area, an improved watershed algorithm was proposed. Firstly, traditional watershed algorithm was used to segment the touched object roughly. Then, the fuzzy C-means clustering algorithm was used for merging cluster to the over-segmentation image, completing the fine segmentation. Experimental results show that it not only completes image segmentation about the touched object, but also improves the over-segmentation of the watershed algorithm effectively.