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Proceedings Paper

A new improved method of mutual information combined with edge correlation deviation
Author(s): Yue-e Li; Qingfang Liu
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953Q (30 October 2009); doi: 10.1117/12.832152
Show Author Affiliations
Yue-e Li, Shanxi Univ. (China)
Qingfang Liu, Shanxi Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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