Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (34): 179-181.DOI: 10.3778/j.issn.1002-8331.2008.34.055
• 图形、图像、模式识别 • Previous Articles Next Articles
HUANG Yi-cen,SHEN Yi-fan
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黄一岑,沈一帆
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Abstract: The over-segmentation or incomplete segmentation may happen when using Normalized Cut(N-Cut) to segment images.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 images by this algorithm,which not only keep the advantages of N-Cut,but solve the problem of over-and incomplete segmentation as well.
摘要: 用Normalized Cut(N-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。
HUANG Yi-cen,SHEN Yi-fan. Improved image segmentation algorithm based on Normalized Cut[J]. Computer Engineering and Applications, 2008, 44(34): 179-181.
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.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2008.34.055
http://cea.ceaj.org/EN/Y2008/V44/I34/179