A new improved method of mutual information combined with edge correlation deviation

Yue-e Li; Qingfang Liu

doi:10.1117/12.832152

30 October 2009 A new improved method of mutual information combined with edge correlation deviation

Yue-e Li, Qingfang Liu

Author Affiliations +

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74953Q (2009) https://doi.org/10.1117/12.832152
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

This article studies the principle of the maximum mutual information method in gray-scale multi-modal medical image registration. On the basis of mutual information, the goal function of registration is improved. This paper integrates mutual information with edge correlation deviation and defines a new registration measure function. Image registration is finished through optimizing this function. This method not only makes use of gray-scale mutual information of original images but also contains the pixel relationship of edge images in two-dimensional level. It plays roll of compensation for drawback of mutual information. Experiments prove that this is an effective image registration method.

Citation Download Citation

Yue-e Li and Qingfang Liu "A new improved method of mutual information combined with edge correlation deviation", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953Q (30 October 2009); https://doi.org/10.1117/12.832152

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