Implementation of an artificial neural network for the segmentation of texture images
- Mosquera González, Antonio
- Cabello Ferrer, Diego
- Carreira Nouche, M. J.
- González Penedo, Manuel Francisco
Verlag: Las Palmas de Gran Canarias : Universidad, 1992?
Datum der Publikation: 1992
Seiten: 838-845
Kongress: Conferencia Latinoamericana de Informática (18. 1992. Las Palmas de Gran Canaria)
Art: Konferenz-Beitrag
Zusammenfassung
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