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oai:docta.ucm.es:20.500.14352/194702024-11-25T15:33:50Zcom_20.500.14352_14col_20.500.14352_21

Guada, Carely Gómez González, Daniel Rodríguez González, Juan Tinguaro Yáñez Gestoso, Francisco Javier Montero De Juan, Francisco Javier 2023-06-18T00:22:25Z 2023-06-18T00:22:25Z 2017 Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K.T., Krawczak, M. eds: Advances in Fuzzy Logic and Technology 2017. Springer International Publishing, Cham (2018) 978-3319668291 10.1007/978-3-319-66824-6 18 https://hdl.handle.net/20.500.14352/19470 https//doi.org/10.1007/978-3-319-66824-6 18 https://link.springer.com/chapter/10.1007/978-3-319-66824-6_18 In this paper we discuss about graph approach in image segmentation. In first place, some main image processing techniques are classified based upon the output these methods provide. Then, a fuzzy image segmentation definition is presented because in the literature review was found that it was not clearly defined. This definition of fuzzy image segmentation is then related to a hierarchical image segmentation procedure, so this concept is also formally defined in this work. As every output of an image processing algorithm has to be evaluated, then a method to evaluate a hierarchical segmentation output is proposed in order to later propose a method to evaluate a fuzzy image segmentation output. Computational experiences point to some advantages of the proposed hierarchical image segmentation procedure over other algorithms. eng restricted access Graph Approach in Image Segmentation book part