Universidad Complutense de Madrid
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A fuzzy edge-based image segmentation approach



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Guada, Carely y Gómez, Daniel y Rodríguez, Juan Tinguaro y Yáñez, Javier y Montero, Javier (2015) A fuzzy edge-based image segmentation approach. In Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology. Advances in Intelligent Systems Research (89). Atlantis Press, pp. 1216-1222. ISBN 978-94-62520-77-6

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In this paper, we present a way to define the concept of fuzzy image segmentation, which has not been clearly defined in the literature. In this work the term Fuzzy image segmentation is characterized by means of a fuzzy set over the set of edges, which can be understood as the fuzzy boundary of the image. Also we discuss a visualization of an image segmentation in terms of edge detection. But first, we define two concepts of crisp image segmentation on an image network, one based on nodes and the other one focusing on edges.

Tipo de documento:Sección de libro
Información Adicional:

16th World Congress of the International-Fuzzy-Systems-Association (IFSA) / 9th Conference of the European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT), Gijon, SPAIN, JUN 30-JUL 03, 2015

Palabras clave:Fuzzy set; Image segmentation; Crisp image segmentation; Graph-based fuzzy image segmentation
Materias:Ciencias > Matemáticas > Estadística matemática
Código ID:32920
Depositado:27 Aug 2015 11:47
Última Modificación:02 Jun 2016 14:59

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