We present an efficient algorithm using a region-based texture feature for the extraction of texture regions. The key idea of this algorithm is to use the variations of local correlation coefficients (LCCs) according to different orientations to classify texture and shade regions. Experimental results show that the proposed feature suitably extracts the regions that appear visually as texture regions.
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Sang Yong SEO, Chae Whan LIM, Nam Chul KIM, "Extraction of Texture Regions Using Region Based Local Correlation" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 9, pp. 1455-1457, September 2002, doi: .
Abstract: We present an efficient algorithm using a region-based texture feature for the extraction of texture regions. The key idea of this algorithm is to use the variations of local correlation coefficients (LCCs) according to different orientations to classify texture and shade regions. Experimental results show that the proposed feature suitably extracts the regions that appear visually as texture regions.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_9_1455/_p
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@ARTICLE{e85-d_9_1455,
author={Sang Yong SEO, Chae Whan LIM, Nam Chul KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Extraction of Texture Regions Using Region Based Local Correlation},
year={2002},
volume={E85-D},
number={9},
pages={1455-1457},
abstract={We present an efficient algorithm using a region-based texture feature for the extraction of texture regions. The key idea of this algorithm is to use the variations of local correlation coefficients (LCCs) according to different orientations to classify texture and shade regions. Experimental results show that the proposed feature suitably extracts the regions that appear visually as texture regions.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Extraction of Texture Regions Using Region Based Local Correlation
T2 - IEICE TRANSACTIONS on Information
SP - 1455
EP - 1457
AU - Sang Yong SEO
AU - Chae Whan LIM
AU - Nam Chul KIM
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2002
AB - We present an efficient algorithm using a region-based texture feature for the extraction of texture regions. The key idea of this algorithm is to use the variations of local correlation coefficients (LCCs) according to different orientations to classify texture and shade regions. Experimental results show that the proposed feature suitably extracts the regions that appear visually as texture regions.
ER -