A Novel Multispectral Lab-depth based Edge Detector for Color Images with Occluded Objects

Safa Mefteh, Mohamed-Bécha Kaâniche, Riadh Ksantini, Adel Bouhoula

2019

Abstract

This paper presents a new method for edge detection based on both Lab color and depth images. The principal challenge of multispectral edge detection consists of integrating different information into one meaningful result, without requiring empirical parameters. Our method combines the Lab color channels and depth information in a well-posed way using the Jacobian matrix. Unlike classical multi-spectral edge detection methods using depth information, our method does not use empirical parameters. Thus, it is quite straightforward and efficient. Experiments have been carried out on Middlebury stereo dataset (Scharstein and Szeliski, 2003; Scharstein and Pal, 2007; Hirschmuller and Scharstein, 2007) and several selected challenging images (Rosenman, 2016; lightfieldgroup, 2016). Experimental results show that the proposed method outperforms recent relevant state-of-the-art methods.

Paper Citation

in Harvard Style

Mefteh S., Kaâniche M., Ksantini R. and Bouhoula A. (2019). A Novel Multispectral Lab-depth based Edge Detector for Color Images with Occluded Objects. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4, SciTePress, pages 272-279. DOI: 10.5220/0007380502720279

in Bibtex Style

@conference{visapp19,
author={Safa Mefteh and Mohamed-Bécha Kaâniche and Riadh Ksantini and Adel Bouhoula},
title={A Novel Multispectral Lab-depth based Edge Detector for Color Images with Occluded Objects},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={272-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007380502720279},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP
TI - A Novel Multispectral Lab-depth based Edge Detector for Color Images with Occluded Objects
SN - 978-989-758-354-4
AU - Mefteh S.
AU - Kaâniche M.
AU - Ksantini R.
AU - Bouhoula A.
PY - 2019
SP - 272
EP - 279
DO - 10.5220/0007380502720279
PB - SciTePress