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Authors: Timo Ahonen and Matti Pietikäinen

Affiliation: Machine Vision Group, University of Oulu, Finland

Keyword(s): Local Binary Pattern, KTH-TIPS, MR8, Gabor, Texture descriptor.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: This paper presents a new unified framework for texture descriptors such as Local Binary Patterns (LBP) and Maximum Response 8 (MR8) that are based on histograms of local pixel neighborhood properties. This framework is enabled by a novel filter based approach to the LBP operator which shows that it can be seen as a special filter based texture operator. Using the proposed framework, the filters to implement LBP are shown to be both simpler and more descriptive than MR8 or Gabor filters in the texture categorization task. It is also shown that when the filter responses are quantized for histogram computation, codebook based vector quantization yields slightly better results than threshold based binning at the cost of higher computational complexity.

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Paper citation in several formats:
Ahonen, T. and Pietikäinen, M. (2008). A FRAMEWORK FOR ANALYZING TEXTURE DESCRIPTORS. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 507-512. DOI: 10.5220/0001077305070512

@conference{visapp08,
author={Timo Ahonen. and Matti Pietikäinen.},
title={A FRAMEWORK FOR ANALYZING TEXTURE DESCRIPTORS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={507-512},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001077305070512},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - A FRAMEWORK FOR ANALYZING TEXTURE DESCRIPTORS
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Ahonen, T.
AU - Pietikäinen, M.
PY - 2008
SP - 507
EP - 512
DO - 10.5220/0001077305070512
PB - SciTePress