查询结果:   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,2014,31(2):238 - 240,274.
中文标题
一种基于Hellinger距离的活动轮廓图像分割方法
发表栏目
图像处理与应用
摘要点击数
627
英文标题
A HELLINGER DISTANCE-BASED SEGMENTATION METHOD FOR ACTIVE CONTOUR IMAGE
作 者
黄凯锋 刘为超 Huang Kaifeng Liu Weichao
作者单位
洛阳师范学院信息技术学院 河南 洛阳 471022     
英文单位
College of Information Technology,Luoyang Normal University,Luoyang 471022,Henan,China     
关键词
图像分割 Hellinger距离 CV活动轮廓模型 图切割
Keywords
Image segmentation Hellinger distance CV active contour model GraphCuts
基金项目
作者资料
黄凯锋,讲师,主研领域:计算机应用,图像处理。刘为超,讲师。 。
文章摘要
图像分割作为许多计算机视觉应用的基础,近十年来一直是计算机视觉学者们研究的焦点。提出一种基于CV活动轮廓模型的图像分割方法,采用Hellinger距离度量区域内的每个像素点与区域的差异度,取代CV活动轮廓中的方差度量,并结合测地活动轮廓(GAC)的思想,改进了CV模型目标函数中区域边界长度的度量。然后将目标函数映射到网络流图中,采用图切割方法对目标函数进行优化。实验证明所提出的方法具有较好的分割效果,相对于CV活动轮廓法有了较大的提升。
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.
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