Color Texture Segmentation Using Color Transform and Feature Distributions

Shiuh-Ku WENG, Chung-Ming KUO, Wei-Cung KANG

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Summary :

This letter presents a simple scheme to transform colors to some representative classes for color information reduction. Then, the weighted distributions of color index histogram (CIH) and local binary pattern (LBP) are applied to measure the similarity of adjacent texture regions during the segmentation process. In addition, for improving the segmentation accuracy, an efficient boundary checking algorithm is proposed. The proposed method not only saves execution time but also segments the distinct texture regions correctly.

Publication
IEICE TRANSACTIONS on Information Vol.E90-D No.4 pp.787-790
Publication Date
2007/04/01
Publicized
Online ISSN
1745-1361
DOI
10.1093/ietisy/e90-d.4.787
Type of Manuscript
LETTER
Category
Pattern Recognition

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