A segmentation algorithm based on wavelet domain hidden Markov tree model was improved.The pixel level segmentation result can not be obtained because of choosing wavelet coefficients as training feature directly in traditional methods.At the same time,traditional methods ignore the feature of labeling maps at different scales by using one single context to all scales in fusion phase.Hence,this study dealt with the initial parameters set problem and chose better feature for training.In this way,the fine pix...