A new approach to Color Edge Detection

DOI

10.2991/eusflat-19.2019.53How to use a DOI?

Keywords

Color edge detection Multi-channel edge detection RGB Pre-aggregation Post-aggregation Crispy aggregation Fuzzy aggregation

Abstract

Most edge detection algorithms deal only with grayscale images, and the way of adapting them to use with RGB images is an open problem. In this work, we explore different ways of aggregating the color information of a RGB image for edges extraction, and this is made by means of well-known edge detection algorithms. In this research, it is been used the set of images from Berkeley. In order to evaluate the algorithm's performance, F measure is computed. The way that color information -the different channels- is aggregated is proved to be relevant for the edge detection task.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Pablo Flores
AU  - Daniel Gomez
AU  - Javier Castro
AU  - Guillermo Villarino
AU  - Javier Montero
PY  - 2019/08
DA  - 2019/08
TI  - A new approach to Color Edge Detection
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 376
EP  - 384
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.53
DO  - 10.2991/eusflat-19.2019.53
ID  - Flores2019/08
ER  -