2026-06-29T07:27:24Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/141902024-11-26T14:55:06Zcom_20.500.14352_14col_20.500.14352_20
A new approach to Color Edge Detection
Flores Vidal, Pablo Arcadio
Gómez González, Daniel
Castro Cantalejo, Javier
Villarino, Guillermo
Montero De Juan, Francisco Javier
Color edge detection
Multichannel edge detection
RGB
Preaggregation
Post-aggregation
Crispy aggregation
Fuzzy aggregation.
Informática (Informática)
Matemáticas (Matemáticas)
1203.17 Informática
12 Matemáticas
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. Moreover, post-aggregation of channels performed significatively better than the classic approach (pre-aggregation of channels).
Ministerio de Economía, Comercio y Empresa (España)
Depto. de Estadística e Investigación Operativa
Fac. de Ciencias Matemáticas
TRUE
pub
2023-06-17T14:22:39Z
2023-06-17T14:22:39Z
2019-08
conference paper
https://hdl.handle.net/20.500.14352/14190
XXXX-XXXX
10.2991/eusflat-19.2019.53
eng
TIN2015-66471-P
Flores, P., Gomez, D., Castro, J., Villarino, G., Montero, J.: A new approach to Color Edge Detection. En: Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Atlantis Press, Prague, Czech Republic (2019)
Atribución-NoComercial 3.0 España
https://creativecommons.org/licenses/by-nc/3.0/es/
open access
application/pdf