Gradient Color Tensor based Approach for Spectral Matting

Adam Ghorbel, Marwen Nouri, Emmanuel Marilly

2013

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.

Paper Citation

in Harvard Style

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 - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 426-430. DOI: 10.5220/0004215404260430

in Bibtex Style

@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 - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={426-430},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004215404260430},
isbn={978-989-8565-47-1},
}

in EndNote Style

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