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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 5, Iss. 1 — Jan. 10, 2007
  • pp: 25–27

A modified region growing algorithm for multi-colored image object segmentation

Yuxi Chen and Chongzhao Han  »View Author Affiliations

Chinese Optics Letters, Vol. 5, Issue 1, pp. 25-27 (2007)

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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.

© 2007 Chinese Optics Letters

OCIS Codes
(100.2960) Image processing : Image analysis
(100.3010) Image processing : Image reconstruction techniques
(100.5010) Image processing : Pattern recognition

Yuxi Chen and Chongzhao Han, "A modified region growing algorithm for multi-colored image object segmentation," Chin. Opt. Lett. 5, 25-27 (2007)

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