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基于Normalized Cut的图像分割改进算法
引用本文:黄一岑,沈一帆.基于Normalized Cut的图像分割改进算法[J].计算机工程与应用,2008,44(34):179-181.
作者姓名:黄一岑  沈一帆
作者单位:复旦大学,计算机科学与工程系,上海,200433
摘    要:用Normalized Cu(tN-Cut)准则分割图片时,会出现诸如过分割或者欠分割的不理想情况。在N-Cut结果的基础上提出了一种改进算法:利用合并-分裂方法,将颜色和纹理相似的区域合并,并对某些区域做进一步N-Cut分割。实验证明,改进后的算法不仅保留了N-Cut方法的优点,而且从一定程度上解决了过分割和欠分割的缺点,能够处理一些自然界的彩色图片,得到了比较理想的分割结果。

关 键 词:合并-分裂  N-Cut准则  Texton
收稿时间:2007-12-19
修稿时间:2008-2-25  

Improved image segmentation algorithm based on Normalized Cut
HUANG Yi-cen,SHEN Yi-fan.Improved image segmentation algorithm based on Normalized Cut[J].Computer Engineering and Applications,2008,44(34):179-181.
Authors:HUANG Yi-cen  SHEN Yi-fan
Affiliation:Department of Computer Science and Engineering,Fudan University,Shanghai 200433,China
Abstract:The over-segmentation or incomplete segmentation may happen when using Normalized Cut(N-Cut) to segment im-ages.This paper proposes an improved algorithm based on the result of N-Cut using classic merge and split method:merge some segments with similar color and texture;split some segments further.Experimental results validate the effects on color natural im-ages by this algorithm,which not only keep the advantages of N-Cut,but solve the problem of over-and incomplete segmentation as well.
Keywords:merge and split  Normalized Cu(tN-Cut) criterion  Texton
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