MULTISPECTRAL TEXTURE ANALYSIS USING LOCAL BINARY PATTERN ON TOTALLY ORDERED VECTORIAL SPACES

Vincent Barra

2010

Abstract

Texture is an important feature when considering image segmentation. Since more and more image segmentation problems involve multi- and hyperspectral data, including color images, it becomes necessary to define multispectral texture features. In this article, we propose LMBP, an extension of the classical Local Binary Pattern (LBP) operator to the case of multispectral images. The LMBP operator is based on the definition of total orderings in the image space and on an extension of the standard univariate LBP. It allows the computation of both a multispectral texture structure coefficient and a multispectral contrast parameter for each spatial location, that serve as an input to an unsupervised clustering algorithm. Results are demonstrated in the case of the segmentation of brain tissues from multispectral MR images, and compared to other multispectral texture features.

Paper Citation

in Harvard Style

Barra V. (2010). MULTISPECTRAL TEXTURE ANALYSIS USING LOCAL BINARY PATTERN ON TOTALLY ORDERED VECTORIAL SPACES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 37-43. DOI: 10.5220/0002828700370043

in Bibtex Style

@conference{visapp10,
author={Vincent Barra},
title={MULTISPECTRAL TEXTURE ANALYSIS USING LOCAL BINARY PATTERN ON TOTALLY ORDERED VECTORIAL SPACES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={37-43},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002828700370043},
isbn={978-989-674-029-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - MULTISPECTRAL TEXTURE ANALYSIS USING LOCAL BINARY PATTERN ON TOTALLY ORDERED VECTORIAL SPACES
SN - 978-989-674-029-0
AU - Barra V.
PY - 2010
SP - 37
EP - 43
DO - 10.5220/0002828700370043