The microcalcification information is an important foundation for the diagnosis of breast cancers. In order to improve the badly vision of microcalcifications which are affected by noises and tissues

a novel enhancement algorithm of mammograms based on shape-selective filter and adaptive background suppression is presented. First the potential non-linear microcalcifications are detected by using shape-selective filter

and then the mammograms are divided into foreground and background sections. Second the background information is suppressed by using an adaptive contrast suppression method

and the foreground information is enhanced at the same time

then the key information of the mammograms is enhanced selectively. Experimental results show that this algorithm can enhance the microcalcification images and suppress the influence of blood vessels and tissues.