RT Book, Section
T1 Graph Approach in Image Segmentation
A1 Guada, Carely
A1 Gómez González, Daniel
A1 Rodríguez González, Juan Tinguaro
A1 Yáñez Gestoso, Francisco Javier
A1 Montero De Juan, Francisco Javier
A2 Kacprzyk, Janusz
A2 Szmidt, Eulalia
A2 Zadrożny, Slawomir
A2 Atanassov, K. T.
A2 Krawczak, Maciej
AB 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.
PB Springer
SN 978-3319668291
YR 2017
FD 2017
LK https://hdl.handle.net/20.500.14352/19470
UL https://hdl.handle.net/20.500.14352/19470
LA eng
NO Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K.T., Krawczak, M. eds: Advances in Fuzzy Logic and Technology 2017. Springer International Publishing, Cham (2018)
NO Ministerio de Economía, Comercio y Empresa (España)
NO Comunidad de Madrid
DS Docta Complutense
RD 9 abr 2025