A Comparison of Wavelet and Steerable Pyramid for Classification of Microcalcification in Digital Mammogram

This paper presents a comparative study between wavelet and steerable pyramid transform for microcalcification clusters. Using multiresolution analysis, mammogram images are decomposed into different resolution levels, which are sensitive to different frequency bands, it is important to extract the features in all possible orientations to capture most of the distinguishing information for classification. The experimental results suggest that S-P shows a clear improvement in the classification performance when compared to wavelet (DWT). These multiresolution analysis methods were tested with the referents mammography Base data MIAS Experimental results show that the steerable pyramid method provides a better.