A FRAMEWORK FOR ANALYZING TEXTURE DESCRIPTORS

Timo Ahonen, Matti Pietikäinen

2008

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.

Paper Citation

in Harvard Style

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 - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 507-512. DOI: 10.5220/0001077305070512

in Bibtex Style

@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 - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={507-512},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001077305070512},
isbn={978-989-8111-21-0},
}

in EndNote Style

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