The automatic detection of the textured object in an image is very difficult and important task in the computer vision system.In this paper,we propose a new segmentation method of an image composed of some kinds of textures by using Walsh spectrum and fuzzy competitive learning algorithm with pyramid approach.After a texture image is divided into nonoverlapping small windows with the same square size,the texture feature vectors in those windows are extracted by using Walsh spectrums.In this paper,we propose a fuzzy competitive learning (FCL) with pyramid that has one pixel on a higher level can be cluster number of n~*n square pixels on a lower level which has a higher resolution.The clustering of feature vectors is performed by fuzzy competitive learning algorithm and then the candidate clustering numbers are obtained.These cluster numbers make a new input vectors.These vectors are presented to the neural network of FCL as input patterns again.FCl is applied recursively like this until closure measure is satisfied.
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