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Authors: Safa Mefteh 1 ; Mohamed-Bécha Kaâniche 1 ; Riadh Ksantini 2 and Adel Bouhoula 1

Affiliations: 1 Digital Security Research Lab, Higher School of Communication of Tunis (Sup’Com), University of Carthage, Tunisia ; 2 Digital Security Research Lab, Higher School of Communication of Tunis (Sup’Com), University of Carthage, Tunisia, University of Windsor, 401, Sunset Avenue, Windsor, ON, Canada

ISBN: 978-989-758-354-4

Keyword(s): Multispectral Edge Detection, Lab-D Image, Gradient based Approach, Occlusion Handling.

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.

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Paper citation in several formats:
safa, M.; 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 - Volume 4: VISAPP, ISBN 978-989-758-354-4, pages 272-279. DOI: 10.5220/0007380502720279

@conference{visapp19,
author={safa, M. 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 - Volume 4: VISAPP,},
year={2019},
pages={272-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007380502720279},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - 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 - safa, M.
AU - Kaâniche, M.
AU - Ksantini, R.
AU - Bouhoula, A.
PY - 2019
SP - 272
EP - 279
DO - 10.5220/0007380502720279

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