文献类型：会议论文

英文题名：A noval method of image segmentation using watershed transformation

作者：Ji, Qinghua[1];Shi, Ronggang[2]

第一作者：姬清华

通讯作者：Ji, QH[1]

机构：[1]Xinxiang Univ, Xinxiang 453000, Peoples R China;[2]Xian Commun Inst, Xian 710106, Peoples R China

第一机构：新乡学院

通讯机构：[1]corresponding author), Xinxiang Univ, Xinxiang 453000, Peoples R China.|[11071]新乡学院;

会议论文集：International Conference on Computer Science and Network Technology (ICCSNT)

会议日期：DEC 24-26, 2011

会议地点：Harbin Normal Univ, Harbin, PEOPLES R CHINA

主办单位：Harbin Normal Univ

语种：英文

外文关键词：mathematical morphology; watershed segmentation; gradient recognition; over-segmentation

摘要：Watershed segmentation has recently become a popular tool for image segmentation. However, its use for automatic image segmentation has been limited particularly due to over-segmentation and sensitivity to noise. This paper presents a new method of image segmentation using watershed transformation. To use morphological opening and closing operations to process the gradient image aim to eliminate the over-segmentation areas, and reconstruction of the morphological gradient can maitain the shape of gradint image. The proposed method can simplify gradient image while maintaining the contours of the exact location of the dividing line, eliminating the root causes of the phenomenon have been split. Simulation experimental results show the proposed approach has better segmentation results than the traditional method in terms of visual effects division or eliminate over-segmentation, regional profile and anti-noise performance positioning side surface.