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Automatic feature determination using unsupervised neural networks. Application to image registration

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4 Author(s)
S. Le Beux ; Dept. Image et Traitement de l'Inf., Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France ; G. Cazuguel ; B. Solaiman ; C. Roux

In this paper, a new solution is proposed to automatically determine the characteristic features in images, a task that is often needed in image analysis. Two unsupervised neural networks are used: the Kohonen's self-organizing map, and a Fukushima's neocognitron like model. Both networks are used to cluster the subsets extracted from the image in an unsupervised learning procedure. This procedure uses no a priori characteristic feature definition. A simple strategy is then used to define the characteristic subsets. Experimental results are given and an application to image registration is presented

Published in:

Neural Networks, 1996., IEEE International Conference on  (Volume:3 )

Date of Conference:

3-6 Jun 1996