loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Author: Vincent Barra

Affiliation: LIMOS, UMR 6158, France

ISBN: 978-989-674-029-0

Keyword(s): Local binary pattern, Multispectral image, Segmentation, Texture, Total orderings.

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 ; Segmentation and Grouping ; Signal Processing, Sensors, Systems Modeling and Control

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.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.87.61.215

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Barra V. and (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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.