Image segmentation by nonparametric color clustering

被引：0

作者：

Bo, Shukui ^{[1
]}

Ma, Yongqiang ^{[2
]}

Zhu, Chongguang ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Remote Sensing Applicat, POB 9718, Beijing 100101, Peoples R China

[2] Henan Polytech Univ, Coll Comp Sci & Technol, Jiaozuo Shi 454000, Peoples R China

来源：

COMPUTATIONAL SCIENCE - ICCS 2007, PT 3, PROCEEDINGS | 2007年 / 4489卷

关键词：

image segmentation; clustering; mean shift;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We present a color image segmentation scheme based on pixel color clustering. The proposed segmentation is based on mean shift clustering method, which is a powerful tool for the analysis of feature space. However, earlier clustering techniques based on mean shift use single scale over the entire feature space and are not feasible to analyze complex multi-modal feature spaces. In this paper, we present an adaptive mean shift method, in which the local scale information is involved. Actual regions in an image can be obtained by segmentation using the proposed clustering technique.

引用

页码：898 / +

页数：2

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