Image Segmentation by Nonparametric Color Clustering

Authors:
Shukui Bo;Yongqiang Ma;Chongguang Zhu
Affiliations:
Institute of Remote Sensing Applications, Chinese Academy of Sciences, P.O. Box 9718, 100101 Beijing, China;College of Computer Science & Technology, Henan Polytechnic University, 454000 Jiaozuo, China;Institute of Remote Sensing Applications, Chinese Academy of Sciences, P.O. Box 9718, 100101 Beijing, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Year:
2007

Citing 4
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Abstract

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.