Novel mammogram enhancement algorithm based on shape-selective filter and adaptive background suppression
基于形状选择性滤波和自适应背景抑制的乳腺钙化图像增强算法

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.