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Proceedings Paper

Color- and texture-based image segmentation using local feature analysis approach
Author(s): Jian Cheng; Yen-Wei Chen; Hanqing Lu; Xiang-Yan Zeng
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Paper Abstract

Image segmentation is one of the most challenging problems in image processing. While significant progress has been made in gray-scale texture segmentation and color segmentation problem separately, the combined color and texture segmentation problem is less considered. In this paper, we use independent component analysis to extract local color and texture features for segmentation. Experiments compared with gray-scale texture analysis method show that the proposed method is more effective in segmenting complex color and texture images.

Paper Details

Date Published: 25 September 2003
PDF: 5 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539079
Show Author Affiliations
Jian Cheng, Institute of Automation, CAS (China)
Yen-Wei Chen, Univ. of the Ryukyus (Japan)
Hanqing Lu, Institute of Automation, CAS (China)
Xiang-Yan Zeng, Univ. of the Ryukyus (Japan)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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