RT Conference Proceedings
T1 A new approach to color edge detection by means of transforming RBG images into an 8-dimension color space
A1 Flores Vidal, Pablo Arcadio
A1 Gómez González, Daniel
A1 Castro Cantalejo, Javier
A1 Montero De Juan, Francisco Javier
AB In this paper, different ways of aggregating color information in edge extraction task are explored. One of these approaches is based on a previous transformation of the RGB images into a new color space of 8 dimensions. This increases the number of dimensions, making differences between colors easier to detect, and in this way improving the performance of edge detection task. Sobel and Canny algorithms are employed over the RGB images and its transformed version of 8 dimensions -that we have named Super8 image-. The set of employed images is the one from Berkeley's dataset. In order to evaluate the performance, precision, recall and F measure are computed. The way of aggregating the color information is showed to be relevant. For some well-known algorithms, the new 8 dimension color space overtakes RGB's for edge detection problem.
SN 9781728123486
YR 2019
FD 2019
LK https://hdl.handle.net/20.500.14352/110445
UL https://hdl.handle.net/20.500.14352/110445
LA eng
NO Flores-Vidal, P.A. et al. (2019) «A New Approach to Color Edge Detection by Means of Transforming RGB Images into an 8-Dimension Color Space», en Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019. : Institute of Electrical and Electronics Engineers Inc., pp. 1050-1057. Disponible en: https://doi.org/10.1109/ISKE47853.2019.9170427.
DS Docta Complutense
RD 16 dic 2025