Image Retrieval using Multiscalar Texture Co-occurrence Matrix

S. K. Saha, A. K. Das, Bhabatosh Chanda

Abstract

We have designed and implemented a texture based image retrieval system that uses multiscalar texture co-occurrence matrix. The pixel array corresponding to an image is divided into a number of blocks of size 2 × 2 and a scheme is proposed to compute texture value for each of these blocks and then the texture co-occurrence matrix is formed. Image texture features are determined based on this matrix. Finally, a multiscalar version of the method is presented to cope with the texture pattern of various scale. Experiment using Brodatz texture database shows that retrieval performance of the proposed features is better than that of gray-level co-occurrence matrix and wavelet based features.

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Paper Citation


in Harvard Style

K. Saha S., K. Das A. and Chanda B. (2006). Image Retrieval using Multiscalar Texture Co-occurrence Matrix . In 6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006) ISBN 978-972-8865-55-9, pages 136-145. DOI: 10.5220/0002477401360145


in Bibtex Style

@conference{pris06,
author={S. K. Saha and A. K. Das and Bhabatosh Chanda},
title={Image Retrieval using Multiscalar Texture Co-occurrence Matrix},
booktitle={6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006)},
year={2006},
pages={136-145},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002477401360145},
isbn={978-972-8865-55-9},
}


in EndNote Style

TY - CONF
JO - 6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006)
TI - Image Retrieval using Multiscalar Texture Co-occurrence Matrix
SN - 978-972-8865-55-9
AU - K. Saha S.
AU - K. Das A.
AU - Chanda B.
PY - 2006
SP - 136
EP - 145
DO - 10.5220/0002477401360145