RT Conference Proceedings
T1 A new approach to Color Edge Detection
A1 Flores Vidal, Pablo Arcadio
A1 Gómez González, Daniel
A1 Castro Cantalejo, Javier
A1 Villarino, Guillermo
A1 Montero De Juan, Francisco Javier
AB 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).
YR 2019
FD 2019-08
LK https://hdl.handle.net/20.500.14352/14190
UL https://hdl.handle.net/20.500.14352/14190
LA eng
NO 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)
NO Ministerio de Economía, Comercio y Empresa (España)
DS Docta Complutense
RD 7 abr 2025