Progressive Texture Image Retrieval Based on M-Band Wavelet Features

A M-band-wavelet-based features for progressive texture image retrieval method is presented. The information of a texture image is acquired through M-band wavelet decomposition of the original image. The integration of two feature descriptors, wavelet-coefficient standard deviation of the approximation sub-image and M-band wavelet histogram, and their corresponding distance similarity measure functions are used to realize progressive retrieval of target texture image databases. Finally, a texture database obtained from Bordatz album and USC image database is used to check the retrieval performance of the proposed method.