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Título:
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Graph Approach in Image Segmentation
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Autores:
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Guada, Carely ;
Gomez, D. ;
Rodríguez, Juan Tinguaro ;
Yáñez, Javier ;
Montero, Javier
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Tipo de documento:
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texto impreso
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Editorial:
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Springer, 2017
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/restrictedAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Lógica simbólica y matemática
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Tipo = Sección de libro
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Resumen:
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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.
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En línea:
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https://eprints.ucm.es/44884/1/Montero276.pdf
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