A Novel Algorithm Based on SIFT and Graph Transformation for Mammogram Registration

  • Yang-jun Zhong
  • Lan-Zhen Chen
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 163)


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.


Thin-plate spline SIFT Graph transformation Mammogram registration 


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Jiangxi University of Science and TechnologyGanzhouChina
  2. 2.Gannan Medical UniversityGanzhouChina

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