Abstract：A color image segmentation algorithm combined marker-based watershed and region merger was proposed in this paper to deal with over-segmentation.Firstly,it extracted minima-marker adaptively according to the information of local minima of gradient,and watershed the marked gradient image to get the pre-segmentation result.Then,it modified region distance according to real sense of region-similarity of human-vision,and defined an integration distance measurement considering color distance,color difference and edge information,which would lead the pre-segmentation regions to merge to a final segmentation result.The experimental results indicate that the proposed algorithm can well suppress the over-segmentation and obtain a satisfactory result,which owns a lower Local Consistency Error and are more accordant to the human-vision segmentation.
余旺盛;侯志强;宋建军. 基于标记分水岭和区域合并的彩色图像分割[J]. 电子学报, 2011, 39(5): 1007-1012.
YU Wang-sheng;HOU Zhi-qiang;SONG Jian-jun. Color Image Segmentation Based on Marked-Watershed and Region-Merger. Chinese Journal of Electronics, 2011, 39(5): 1007-1012.
2011, Vol. 39 
