Twostage scheme for texture segmentation based on clustering using a first set of features and refinement using a second set of features

摘要

A method and system for segmenting textures in an image includes computing multiresolution simultaneous autoregressive (MSAR) features in the image, preparing an uncertainty map of the MSAR features (the uncertainty map including high confidence pixels and low confidence pixels), computing wavelet features in the image, preparing a classifier based on the high confidence pixels and the wavelet features, and reclassifying the low confidence pixels based on the classifier to obtain the final segmentation.