Flores Vidal, Pablo ArcadioGómez González, DanielCastro Cantalejo, JavierMontero De Juan, Francisco Javier2024-11-122024-11-122019Flores-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/ISKE47853.2019.9170427.978172812348610.1109/ISKE47853.2019.9170427https://hdl.handle.net/20.500.14352/110445In 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.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/conference paperhttps://doi.org/10.1109/ISKE47853.2019.9170427https://ieeexplore.ieee.org/document/9170427restricted access519.8004.932004.6Color edge detectionMulti-channel edge detectionRGBSuper8Pre-aggregationPost-aggregationCrispy aggregationFuzzy aggregationEstadísticaTécnicas de la imagenInvestigación operativa (Estadística)1209 Estadística1209.03 Análisis de Datos2209.90 Tratamiento Digital. Imágenes1207 Investigación Operativa