Segmentation of Textures Using Echo State Neural Network
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Abstract
This paper presents texture segmentation concept using Echo state neural network and Fuzzy Logic. The data set used is the textile textures. The image is split into 3 X 3 windows. The features of the windows are presented to the input layer of the echo state network. The target for each window is assigned. The number of reservoirs in the network decides the segmentation performance.
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Keywords: image segmentation, Echo State Neural network, unsupervised method, fuzzy membership function and textures.
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