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Título:
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Painting algorithms for fuzzy classification
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Autores:
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Gomez, D. ;
Montero, Javier ;
Yáñez, Javier ;
Poidomani, C.
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Tipo de documento:
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texto impreso
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Editorial:
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IEEE, 2004
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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/openAccess
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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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Absfruct-Land cover analysis by means of remotely sensing images quite often suggest the existence of fuzzy classes, where no clear borders or particular shapes appear. In this paper we present an image classification aid algorithm which shows as its main output a processed image where each pixel is being colored according to the degree of similitude to their respective surrounding pixels. Such a processed image is therefore suggesting possible classes, to be implemented in a more sophisticated image classification process. A key underlying argument for this approach is the relevance of painting techniques in order to help decision makers to understand complex information relative to fuzzy image classification.
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En línea:
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https://eprints.ucm.es/id/eprint/29111/1/Montero193.pdf
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