Color Texture Segmentation Using Color Transform and Feature Distributions(Pattern Recognition)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2007-04-01

著者

• Weng Shiuh-ku

  Department Of Information Management Chinese Naval Academy

• Kuo Chung-ming

  Department Of Information Engineering I-shou University

• KANG Wei-Cung

  Department of Information Engineering, I-Shou University

• Kang Wei-cung

  Department Of Information Engineering I-shou University

関連論文

• Color Texture Segmentation Using Color Transform and Feature Distributions(Pattern Recognition)

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