Implementation of an artificial neural network for the segmentation of texture images

• Autores: Antonio Mosquera González , Diego Cabello Ferrer , M. J. Carreira Nouche , Manuel Francisco González Penedo
• Localización: Panel '92: actas, XVIII Conferencia Latinoamericana de Informática, 1992, págs. 838-845
• Idioma: inglés
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• Resumen

  • In this work we describe the implementation of an artificial neural network, an extension of Hopfield's model, for the segmentation of textured images. We use a Markov random field in order to model the textures in the image. The problem is approached in terms of the minimization of a cost function that is projected onto the network. It provides a locally optimal solution to the problem of the classification of M* M pixels into K classes (textures). The experimental results obtained on artificial and natural images show the validity of the architecture we propose