关键词: 肿块分割, 图像预处理, 梯度, 自适应区域生长

Abstract: Since there are a lot of complex and changing characteristics of mass in mammography with great difficulty in mass segmentation, region growing becomes a reliable method to accomplish it. An adaptive region growing method for mass segmentation is presented so as to improve its precision and reliability and reduce the over-growing and lack-growing when dealing with different images in one principle. Background removing and region suppression are used to preprocess the Region Of Interest （ROI） of mass, and then it uses the number of image pixels to determine the seed point for region growing, and determines whether the adaptive region growing is out of edge through the gradient distribution and tends of mass ROI in order to obtain the best growth criteria. The experimental results show that the adaptive region growing algorithm for segmentation compared to the three-terrain segmentation algorithm and model segmentation algorithm is more accurate and reliable.

Key words: mass segmentation, image preprocessing, gradient, adaptive region growing