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IEICE Transactions on Information and Systems 2007 E90-D(4):787-790; doi:10.1093/ietisy/e90-d.4.787
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Copyright © 2007 The Institute of Electronics, Information and Communication Engineers

Regular Section -- Letters -- Pattern Recognition

Color Texture Segmentation Using Color Transform and Feature Distributions

Shiuh-Ku WENG1, Chung-Ming KUO2 and Wei-Cung KANG2

1 The author is with the Department of Information Management, Chinese Naval Academy, Zuoying, Kaohsiung City, 813, Taiwan, R.O.C. E-mail: skweng{at}mail.cna.edu.tw, 2 The authors are with the Department of Information Engineering, I-Shou University, Kaohsiung County, 840, Taiwan, R.O.C.


  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.

Key Words: color index histogram (CIH), local binary pattern (LBP), boundary checking

Manuscript received August 18, 2006.


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