Color Texture Recognition Based on Wavelet Probabilistic Neural Network

This paper puts forward to an algorithm for recognizing color textures based on wavelet probabilistic neuralnetwork.At first, The RGB color texture image is converted into HSV, extract features on the color texture image on the basis of tree-structured, then uses PNN to classify the different texture images.Experiment is conducted on different texture images.Compared to the literature1, the effect of our method for texture recognition is obvious excelled it.