An improved method for image registration in digital subtraction angiography based on mutual information and edge overlap degree

Chongwen Wang*, Jing Hu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

This paper studies the mutual information method in the image registration of digital subtraction angiography (DSA). It also studied the principle of edge overlap between two images and bought it into the similarity measurement. This article improved the goal function of registration by integrating the overlap degree of edge with mutual information. Besides, the author analyzed the deformable model in DSA registration, proposed a simple and efficient transform model. The new similarity measure method in this paper not only uses the gray-scale information of the original images, but also uses the pixel's relationship on two-dimensional level of edge image which compensates for the drawback of mutual information and improves the accuracy of registration. The Matlab simulation experiments prove that this is an effective and reliable image registration method.

源语言英语
页(从-至)485-488
页数4
期刊Advanced Science Letters
11
1
DOI
出版状态已出版 - 5月 2012

指纹

探究 'An improved method for image registration in digital subtraction angiography based on mutual information and edge overlap degree' 的科研主题。它们共同构成独一无二的指纹。

引用此