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Chin. Opt. Lett.
 Home  List of Issues    Issue 11 , Vol. 01 , 2003    Natural color image segmentation using integrated mechanism


Natural color image segmentation using integrated mechanism
Jie Xu, Pengfei Shi
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200030

Chin. Opt. Lett., 2003, 01(11): pp.645-645-

DOI:
Topic:Image processing
Keywords(OCIS Code): 100.2960  

Abstract
A new method for natural color image segmentation using integrated mechanism is proposed in this paper. Edges are first detected in term of the high phase congruency in the gray-level image. K-mean cluster is used to label long edge lines based on the global color information to estimate roughly the distribution of objects in the image, while short ones are merged based on their positions and local color differences to eliminate the negative affection caused by texture or other trivial features in image. Region growing technique is employed to achieve final segmentation results. The proposed method unifies edges, whole and local color distributions, as well as spatial information to solve the natural image segmentation problem.The feasibility and effectiveness of this method have been demonstrated by various experiments.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Received:2003/3/12
Accepted:
Posted online:

Get Citation: Jie Xu, Pengfei Shi, "Natural color image segmentation using integrated mechanism," Chin. Opt. Lett. 01(11), 645-645-(2003)

Note: J. Xu’s e-mail address is may@sjtu.edu.cn.



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