Textured Image Segmentation Based on Multiresolution Wavelet and Gaussian Mixture Models

The author proposes a textured image segmentation algorithm which is based on multiresolution wavelet and Gaussian mixture models.At first a preceding process is taken in this algorithm.Then,the image is decomposed by wavelet pyramids.All of those lower resultant image and original image are integrated to a feature vector of a pixel.Those pixels are segmented by Gaussian mixture models.Experiment show the algorithm can give a good result.