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oai:docta.ucm.es:20.500.14352/357322024-11-26T14:13:51Zcom_20.500.14352_14col_20.500.14352_21

Gómez González, Daniel Zarrazola Rivera, Edwin Yáñez Gestoso, Francisco Javier Rodríguez González, Juan Tinguaro Montero De Juan, Francisco Javier 2023-06-19T15:54:34Z 2023-06-19T15:54:34Z 2014 Gómez, D., Zarrazola, E., Yáñez, J., Rodríguez, J.T., Montero, J.: A NEW CONCEPT OF FUZZY IMAGE SEGMENTATION. En: Decision Making and Soft Computing. pp. 412-417. WORLD SCIENTIFIC, João Pessoa (Paraíba), Brazil (2014) 978-981-4619-96-7 htt://dx.doi.org/10.1142/9789814619998_0069 https://hdl.handle.net/20.500.14352/35732 htt://dx.doi.org/10.1142/9789814619998_0069 http://www.worldscientific.com/doi/abs/10.1142/9789814619998_0069 A crisp image segmentation can be characterized in terms of the set of edges that separates the adjacent regions of the segmentation. Based on these edges, an alternative way to define a fuzzy image segmentation is introduced in this paper. In this sense, the notion of fuzzy image segmentation is characterized by means of a fuzzy set over the set of edges, which could in this way be understood as the fuzzy boundary of the image. Also, an algorithm to construct this fuzzy boundary is provided based on the relations that exist eng restricted access A New concept of of fuzzy image segmentation book part