Gómez González, DanielZarrazola Rivera, EdwinYáñez Gestoso, Francisco JavierRodríguez González, Juan TinguaroMontero De Juan, Francisco JavierDe Moraes, Ronei MarcosKerre, Etienne EMachado, Liliane dos SantosLu, Jie2023-06-192023-06-192014Gómez, 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)978-981-4619-96-7htt://dx.doi.org/10.1142/9789814619998_0069https://hdl.handle.net/20.500.14352/35732PART 4. SOFT COMPUTING AND APPLIED RESEARCHA 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 existengbook parthtt://dx.doi.org/10.1142/9789814619998_0069http://www.worldscientific.com/doi/abs/10.1142/9789814619998_0069restricted access519.8Image ProcessingHierarchical ClusterFuzzy SetsInvestigación operativa (Matemáticas)1207 Investigación Operativa