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Authors: Nuo Zhang and Toshinori Watanabe

Affiliation: The University of Electro-Communications, Japan

Keyword(s): Data Representation, Texture Image, Data Compression, Local Binary Patterns.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis

Abstract: Texture classification is an important technology widely applied in many application fields in image processing. In this study, a novel representation method for texture image is proposed. The proposed approach is based on the consideration of using data compression to search the essential feature of frequent pattern in texture images. Furthermore, to deal with the difficult situation caused by different situations of photography, local binary pattern (LBP) is introduced to the proposed approach to reduce the numbers of varieties of patterns in texture image. Compresibility vector space is adopted in this study instead of learning phase. Based on the patterns extracted by LBP operator which are invariant to monotonic gray-level transformations, data compression helps extract the longest and frequent features. These features provide high analytical ability for texture image. The simulation results will show good performance of our approach.

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Paper citation in several formats:
Zhang, N. and Watanabe, T. (2012). TEXTURE IMAGE ANALYSIS USING LBP AND DATA COMPRESSION. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 437-440. DOI: 10.5220/0003850904370440

@conference{visapp12,
author={Nuo Zhang. and Toshinori Watanabe.},
title={TEXTURE IMAGE ANALYSIS USING LBP AND DATA COMPRESSION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={437-440},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003850904370440},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - TEXTURE IMAGE ANALYSIS USING LBP AND DATA COMPRESSION
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Zhang, N.
AU - Watanabe, T.
PY - 2012
SP - 437
EP - 440
DO - 10.5220/0003850904370440
PB - SciTePress

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