Person:
Flores Vidal, Pablo Arcadio

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First Name
Pablo Arcadio
Last Name
Flores Vidal
URI
https://hdl.handle.net/20.500.14352/80733
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Estudios estadísticos
Department
Estadística y Ciencia de los Datos
Area
Estadística e Investigación Operativa
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Author: Castro Cantalejo, Javier × Subject: 519.8 ×

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    New Aggregation Approaches with HSV to Color Edge Detection
    (International Journal of Computational Intelligence Systems, 2022) Flores Vidal, Pablo Arcadio; Gómez González, Daniel; Castro Cantalejo, Javier; Montero, Javier
    The majority of edge detection algorithms only deal with grayscale images, while their use with color images remains an open problem. This paper explores different approaches to aggregate color information of RGB and HSV images for edge extraction purposes through the usage of the Sobel operator and Canny algorithm. This paper makes use of Berkeley’s image data set, and to evaluate the performance of the different aggregations, the F-measure is computed. Higher potential of aggregations with HSV channels than with RGB channels is found. This article also shows that depending on the type of image used, RGB or HSV, some methods are more appropriate than others.