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基于分水岭变换和核聚类算法的图像分割
引用本文:冯林,管慧娟,孙焘,滕弘飞.基于分水岭变换和核聚类算法的图像分割[J].大连理工大学学报,2006,46(6):851-856.
作者姓名:冯林  管慧娟  孙焘  滕弘飞
作者单位:1. 大连理工大学,大学生创新院,辽宁,大连,116024;大连理工大学,机械工程学院,辽宁,大连,116024
2. 大连理工大学,大学生创新院,辽宁,大连,116024
3. 大连理工大学,机械工程学院,辽宁,大连,116024
基金项目:国家自然科学基金;大连理工大学校科研和教改项目
摘    要:提出了一种基于分水岭变换和核聚类算法的图像分割算法.通过分水岭变换把图像分割成多个小区域,为实现过分割小区域的合并,利用Mercer核把各小区域的灰度平均值映射到高维特征空间,使原来没有显现的特征突现出来,在特征空间进行更准确的聚类,为下一步图像分析提供较为准确的分割区域.实验结果证明了该算法的可行性和有效性.

关 键 词:图像分割  分水岭变换  核聚类
文章编号:1000-8608(2006)06-0851-06
收稿时间:2005-04-20
修稿时间:2005-04-202006-10-08

A method of image segmentation based on watershed translation and kernel clustering
FENG Lin,GUAN Hui-juan,SUN Tao,TENG Hong-fei.A method of image segmentation based on watershed translation and kernel clustering[J].Journal of Dalian University of Technology,2006,46(6):851-856.
Authors:FENG Lin  GUAN Hui-juan  SUN Tao  TENG Hong-fei
Abstract:A method of image segmentation algorithm based on watershed translation and kernel clustering is presented. The image is segmented into a large number of small regions by the watershed translation. Mercer kernel which will map the mean grey-level values of these small regions to a high dimensional feature space is employed to merge these over-segmented regions. This mapping makes the unconspicuous feature obvious, the clustering in the feature space more precise and provides the segmented regions for further image analysis precisely. The feasibility and effectiveness of the algorithm is validated by the experimental results.
Keywords:image segmentation  watershed translation  kernel clustering
本文献已被 CNKI 维普 万方数据 等数据库收录!
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