Exploiting and Evolving Rn Mathematical Morphology Feature Spaces
Abstract
A multidisciplinary methodology that goes from the extraction of features till the classification of a set of different portuguese granites is presented in this paper. The set of tools to extract the features that characterise the polished surfaces of granites is mainly based on mathematical morphology. The classification methodology is based on a genetic algorithm capable of search for the input feature space used by the nearest neighbour rule classifier. Results show that is adequate to perform feature reduction and simultaneous improve the recognition rate. Moreover, the present methodology represents a robust strategy to understand the proper nature of the textures studied and their discriminant features.
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