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Chin. Opt. Lett.
 Home  List of Issues    Issue 01 , Vol. 05 , 2007    A modified region growing algorithm for multi-colored image object segmentation


A modified region growing algorithm for multi-colored image object segmentation
Yuxi Chen, Chongzhao Han
School of Electronic and Information Engineering, [Xi'an Jiaotong University], Xi'an 710049

Chin. Opt. Lett., 2007, 05(01): pp.25-27-3

DOI:
Topic:Image processing
Keywords(OCIS Code): 100.2960  100.5010  100.3010  

Abstract
A hybrid algorithm based on seeded region growing and k-means clustering was proposed to improve image object segmentation result. A user friendly segmentation tool was provided for the definition of objects, then k-means algorithm was utilized to cluster the selected points into k seeds-clusters, finally the seeded region growing algorithm was used for object segmentation. Experimental results show that the proposed method is suitable for segmentation of multi-colored object, while conventional seeded region growing methods can only segment uniform-colored object.

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:2006/7/3
Accepted:
Posted online:

Get Citation: Yuxi Chen, Chongzhao Han, "A modified region growing algorithm for multi-colored image object segmentation," Chin. Opt. Lett. 05(01), 25-27-3(2007)

Note: This work was supported by the National Natural Science Foundation of China under Grant No. 60574033. Y. Chen's email address is chenyx_10m@126.com.



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