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Authors: Adam Ghorbel ; Marwen Nouri and Emmanuel Marilly

Affiliation: Alcatel Lucent Bell Labs France, France

Keyword(s): Image Matting, Spectral Matting, Gradient Color Tensor, Matting Laplacian, Affinity Matrix, Alpha Matte.

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

Abstract: Image matting aims to extract foreground objects from a given image in a fuzzy mode. One of the major state-of-the-art methods in this field is spectral matting. It automatically computes fuzzy matting components by using the smallest eigenvectors of a defined Laplacian matrix that is generated from affinities computation between adjacent pixels in an image. Results obtained by such approach are coarsely related to the ability of defining an affinity matrix that it should be able to well separate between different pixels’ clusters. To accomplish better matting and get better results, we propose a new spectral matting approach. We use a color tensor gradient of color images in order to enhance the affinity computation process.

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Paper citation in several formats:
Ghorbel, A.; Nouri, M. and Marilly, E. (2013). Gradient Color Tensor based Approach for Spectral Matting. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 426-430. DOI: 10.5220/0004215404260430

@conference{visapp13,
author={Adam Ghorbel. and Marwen Nouri. and Emmanuel Marilly.},
title={Gradient Color Tensor based Approach for Spectral Matting},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={426-430},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004215404260430},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Gradient Color Tensor based Approach for Spectral Matting
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Ghorbel, A.
AU - Nouri, M.
AU - Marilly, E.
PY - 2013
SP - 426
EP - 430
DO - 10.5220/0004215404260430
PB - SciTePress

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