A new approach to Color Edge Detection
Authors
Pablo Flores, Daniel Gomez, Javier Castro, Guillermo Villarino, Javier Montero
Corresponding Author
Pablo Flores
Available Online August 2019.
- 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/).
Cite this article
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 -