Texture extraction capabilities of Multi-layer Perceptron
نویسندگان
چکیده
This work explores the Multi-layer Perceptron’s inference capabilities to detect textured relationships of pixels belonging to a squared neighbourhood. Although hidden in the neuron connections, these relationships lend the neural network the necessary discriminant power to classify patterns. Results similar to those involving the combination co-occurrence matrices-MLP have been obtained for supervised image segmentation. The work also sheds the basis for an unsupervised textured segmentation approach involving an autoassociative neural network and a Self-Organizing Map.
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