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.
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Shiuh-Ku WENG, Chung-Ming KUO, Wei-Cung KANG, "Color Texture Segmentation Using Color Transform and Feature Distributions" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 4, pp. 787-790, April 2007, doi: 10.1093/ietisy/e90-d.4.787.
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.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.4.787/_p
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@ARTICLE{e90-d_4_787,
author={Shiuh-Ku WENG, Chung-Ming KUO, Wei-Cung KANG, },
journal={IEICE TRANSACTIONS on Information},
title={Color Texture Segmentation Using Color Transform and Feature Distributions},
year={2007},
volume={E90-D},
number={4},
pages={787-790},
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.},
keywords={},
doi={10.1093/ietisy/e90-d.4.787},
ISSN={1745-1361},
month={April},}
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TY - JOUR
TI - Color Texture Segmentation Using Color Transform and Feature Distributions
T2 - IEICE TRANSACTIONS on Information
SP - 787
EP - 790
AU - Shiuh-Ku WENG
AU - Chung-Ming KUO
AU - Wei-Cung KANG
PY - 2007
DO - 10.1093/ietisy/e90-d.4.787
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2007
AB - 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.
ER -