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In this thesis, the registration method of medical image is based on feature points, and mainly starting from the feature extraction operator. It makes comparative studies on the aspects of accuracy, stability and so on. Through theoretical and experimental studies, we make improvements on algorithm. Feature points matching in this thesis regards feature point neighborhood gray scale correlation as the similarity measure, uses affine transformation of space to search space, and utilizes affine invariance of Mahalanobis distance correcting feature point matching so as to the optimization of parameters. Experimental results show that the improvement method of extraction operator based on Harris in this thesis makes a good effect on some certain kind of medical images.

The Processing Method and Application of Medical Image with Feature Points Matching