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A New Method for Classification of Structural Textures

Bongkyu Lee
International Journal of Control, Automation, and Systems, vol. 2, no. 1, pp.125-133, 2004

Abstract : In this paper, we present a new method that combines the characteristics of edge information and second-order neural networks for the classification of structural textures. The edges of a texture are extracted using an edge detection approach. From this edge information, classification features called second-order features are obtained. These features are fed into a second-order neural network for training and subsequent classification. It will be shown that the main disadvantage of using structural methods in texture classifications, namely, the difficulty of the extraction of texels, is overcome by the proposed method.

Keyword : Structural texture, classification, second-order feature space, MLP

 
 
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