A new approach to Color Edge Detection



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Flores Vidal, Pablo Arcadio and Gómez, Daniel and Castro, Javier and Villarino, Guillermo and Montero, Javier (2019) A new approach to Color Edge Detection. In 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), 9-13 Sep 2019, Praga, República Checa.

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Official URL: https://doi.org/10.2991/eusflat-19.2019.53


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).

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Color edge detection, Multichannel edge detection, RGB, Preaggregation, Post-aggregation, Crispy aggregation, Fuzzy aggregation.
Subjects:Sciences > Computer science
Sciences > Mathematics
ID Code:63642
Deposited On:22 Apr 2021 18:18
Last Modified:23 Apr 2021 07:31

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