关键词: 微钙化点, 小波, Top-hat , 支持向量机

Abstract: It is very meaningful for early diagnosis of breast cancer with detecting micro-calcifications in breast cancer.However，used methods of detecting micro-calcifications have shortcomings of high false positive.Micro-calcifications of mammograms are detected with the method of combining wavelet with Top-hat filter.And on this basis，it can farther detect the results of coarse calcifications with SVM，eliminate the false and retain the true.This method can reduce the rate of false positive greatly，on the base of not reducing the rate of true positive.Simulating experiment results show that the rate of detection calcifications achieves 98.46%，and the rate of false positive is less than 3.597%.The method can effectively extract micro-calcifications from complex background.

Key words: micro-calcifications, wavelet, Top-hat, Support Vector Machine（SVM）