Color Texture Segmentation Using Color Transform and Feature Distributions

Authors:
Shiuh-Ku Weng;Chung-Ming Kuo;Wei-Cung Kang
Affiliations:
The author is with the Department of Information Management, Chinese Naval Academy, Zuoying, Kaohsiung City, 813, Taiwan, R.O.C. E-mail: skweng@mail.cna.edu.tw,;The authors are with the Department of Information Engineering, I-Shou University, Kaohsiung County, 840, Taiwan, R.O.C.;The authors are with the Department of Information Engineering, I-Shou University, Kaohsiung County, 840, Taiwan, R.O.C.
Venue:
IEICE - Transactions on Information and Systems
Year:
2007

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Abstract

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.