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Color Edge Detection using Quaternion Convolution and Vector Gradient

Topics: Color and Texture Analyses; Document Imaging in Business; Entertainment Imaging Applications; Features Extraction; Image and Video Coding and Compression; Object Detection and Localization; Segmentation and Grouping; Visual Attention and Image Saliency

Authors: Nadia BenYoussef and Aicha Bouzid

Affiliation: Signal, Image and and Information Technology Laboratory, Tunisia

Keyword(s): Quaternion Convolution, Gradient Vector, Edge Detection, Color Image.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Document Imaging in Business ; Entertainment Imaging Applications ; Features Extraction ; Image and Video Analysis ; Image and Video Coding and Compression ; Image Formation and Preprocessing ; Segmentation and Grouping ; Visual Attention and Image Saliency

Abstract: In this paper, a quaternion-based method is proposed for color image edge detection. A pair of quaternion mask is used for horizontal and vertical filter since quaternion convolution is not commutative. The detection procedure consists of two steps: quaternion convolution for edge detection and gradient vector to enhance edge structures. Experimental results demonstrate its capabilities on natural color images.

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Paper citation in several formats:
BenYoussef, N. and Bouzid, A. (2017). Color Edge Detection using Quaternion Convolution and Vector Gradient. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 135-139. DOI: 10.5220/0006229601350139

@conference{visapp17,
author={Nadia BenYoussef. and Aicha Bouzid.},
title={Color Edge Detection using Quaternion Convolution and Vector Gradient},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP},
year={2017},
pages={135-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006229601350139},
isbn={978-989-758-225-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP
TI - Color Edge Detection using Quaternion Convolution and Vector Gradient
SN - 978-989-758-225-7
IS - 2184-4321
AU - BenYoussef, N.
AU - Bouzid, A.
PY - 2017
SP - 135
EP - 139
DO - 10.5220/0006229601350139
PB - SciTePress

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