A Color Image Segmentation Algorithm by Integrating Watershed with Region Merging

Abstract

In order to improve the effectiveness of color image segmentation, a color image segmentation algorithm by integrating watershed with region merging is proposed in this paper. First, the image input is divided into many regions by watershed algorithm, and the phenomenon of the image over segmentation emerges for the details and noise of the image information. Second, the integrated regional distance, which is integrated with the factors, such as the image color information, edge strength and adjacency information, is defined. Third, an algorithm of diminutive region merging is designed to remove the diminutive region. As a result, the color image segmentation is more efficiently realized. Finally, a simulation experiment is implemented with the algorithm proposed, then the analysis is also given in this paper, and it is proved that the algorithm proposed is more effective in the color image segmentation and solves the problem of the over segmentation generated by the watershed algorithm segmentation.