计算机应用与软件Issue(2)：238-240,274,4.DOI:10.3969/j.issn.1000-386x.2014.02.064
一种基于Hellinger距离的活动轮廓图像分割方法
A HELLINGER DISTANCE-BASED SEGMENTATION METHOD FOR ACTIVE CONTOUR IMAGE
黄凯锋 1刘为超1
作者信息
- 1. 洛阳师范学院信息技术学院 河南 洛阳471022
- 折叠
摘要
Abstract
As the basis of lots of computer vision applications,image segmentation has been the research focus of the scholars in this sector over past decade.In this paper we present a CV active contour model-based image segmentation method,it uses Hellinger distance to measure the differences of a region with each pixel within it to replace the variance measure in CV active contour.Combining with the idea of geodesic active contour (GAC),we improve the measures of region boundary length in objective function of CV model.Then the objective function is mapped onto network flow graph and to be optimised by GraphCuts.A large number of experiments show that the proposed method has better segmentation results and has been greatly improved in contrast with CV active contour method.关键词
图像分割/Hellinger距离/CV活动轮廓模型/图切割Key words
Image segmentation/Hellinger distance CV/active contour model/GraphCuts分类
信息技术与安全科学引用本文复制引用
黄凯锋,刘为超..一种基于Hellinger距离的活动轮廓图像分割方法[J].计算机应用与软件,2014,(2):238-240,274,4.
