Medical image registration algorithm based on the SAM of multi-scale Harris corner
基于多尺度Harris角点SAM的医学图像配准算法

Registration of multi-resolution, multi-source images is a difficult task. This paper proposes a novel registration algorithm based on SAM (square root arithmetic mean divergence) information of multi-scale Harris corners (CSAM for short). In this algorithm, the estimated transform parameters are obtained by extracting a multi-scale contour and detecting multi-scale Harris corner. Then CSAM is used as similarity measure function, and several optimized match points are obtained. The final registration parameters can be acquired by using least squares method. Registration of medical images with noise and multi-resolutions can be realized by this algorithm, calculation time is reduced and local extremum can be avoided due to reduce matching corner points which need not optimal search. Finally, experimental results show that this algorithm has the advantages such as high precision, high speed and good robust.