Painting algorithms for fuzzy classification



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Gomez, D. and Montero, Javier and Yáñez, Javier and Poidomani, C. (2004) Painting algorithms for fuzzy classification. In Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on. IEEE, pp. 127-132. ISBN 0-7803-8353-2

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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.

Item Type:Book Section
Uncontrolled Keywords:Fuzzy set theory; Image classification; Painting; Remote sensing
Subjects:Sciences > Mathematics > Logic, Symbolic and mathematical
ID Code:29111
Deposited On:09 Mar 2015 12:30
Last Modified:02 Sep 2020 10:58

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