A Novel Registration Approach for Mammograms Based on SIFT and Graph Transformation

摘要：

Mammogram registration is an important step in the processing of automatic detection of breast cancer. It provides aid to better visualization correspondence on temporal pairs of mammograms. This paper presents a novel algorithm based on SIFT feature and Graph Transformation methods for mammogram registration. First, features are extracted from the mammogram images by scale invariant feature transform (SIFT) method. Second, we use graph transformation matching (GTM) approach to obtain more accurate image information. At last, we registered a pair of mammograms using Thin-Plate spline (TPS) interpolation based on corresponding points on the two breasts, and acquire the mammogram registration image. Performance of the proposed algorithm is evaluated by three criterions. The experimental results show that our method is accurate and closely to the source images.

关键词： mammogram registration Thin-Plate spline SIFT graph transformation matching

作者: Yang-jun Zhong Qian Cai

作者单位: Vacuity of Information Engineering Jiangxi University of Science and Technology, Ganzhou, China

会议类型: 国际会议

会议名称: 2011 International Conference on Mechatronics and Applied Mechanics(2011年机电一体化与应用力学国际会议 ICMAM 2011)

会议地点: 香港

会议语种:英文

页码: 1313-1319

在线出版日期: 2011-12-27（万方平台首次上网日期，不代表论文的发表时间）