An improved watershed algorithm for color image segmentation

摘要：

An adaptive marker extraction-based watershed algorithm is proposed to overcome the oversegmentation problem. By combining local minima depth and water basin scale information,markers are adaptively extracted for local minima,and the threshold for marker-extraction is automatically calculated according to the statistics of local extreme points in the gradient map. These markers are imposed on the original gradient map as its local minima. The watershed algorithm is applied on the modified gradient map to segment the image. Simulation results show that the proposed method can efficiently reduce over-segmentation with scarcely computational complexity increase. It has better anti-noise performance and edge-location capability as well.

关键词： color image segmentation watershed adaptive marker-extraction

作者: Changmin Zhang Shuaiqi Zhang Junxia Wu Shaoxiong Han

作者单位: Xidian University School of Science Xian,China,710071 CNGC.051base Huayin,China,714200

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 69-72

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）