计算机应用与软件Issue(8)：184-186,192,4.DOI:10.3969/j.issn.1000-386x.2015.08.043
基于快速 mean-shift聚类与标记分水岭的图像分割方法
IMAGE SEGMENTATION METHOD BASED ON FAST MEAN-SHIFT CLUSTERING AND MARKING WATERSHED
摘要
Abstract
For the problem of traditional watershed transformation algorithm that it is prone to oversegmentation in image segmentation process, we propose an image segmentation algorithm which is based on fast mean-shift clustering and marking watershed transformation. First, it uses fast mean-shift clustering to pre-process the original image and determine the segmentation areas and the number of clusters;then it employs sobel operator to carry out gradient processing followed by morphological operation on the processed image, it also distributes different marks to each water basin, and accesses every pixel in ascending order, and finally immerses them into water basin in turn to com-plete image segmentation.Experimental results indicated that the proposed method could effectively segment medical images, and could also overcome the oversegmentation issue incurred by watershed transformation.关键词
分水岭变换/图像分割/快速mean-shift聚类Key words
Watershed transformation/Image segmentation/Fast mean-shift clustering分类
信息技术与安全科学引用本文复制引用
邰滢滢,吴彦海,张利..基于快速 mean-shift聚类与标记分水岭的图像分割方法[J].计算机应用与软件,2015,(8):184-186,192,4.基金项目
辽宁省教育厅高校科研项目（2009A301）；国家自然科学基金项目（61174115）。 （）
