A Non-Feature Fast 3D Rigid-Body Image Registration Method

被引：0
|
作者：
Zhou G.-B. [1 ]
Song H.-J. [1 ]
Wu Y.-X. [1 ]
Ren P. [1 ]
机构：
[1] College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, 266580, Shandong
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2018年 / 46卷 / 10期
关键词：
3D image registration; Image transformation; Taylor expansion;
D O I：
10.3969/j.issn.0372-2112.2018.10.011
中图分类号：
学科分类号：
摘要：
3D image registration (IR) aims to map one image to another image of a same scene,widely used in medical diagnosis and other applications.The existing methods mostly use feature to registration and have specific constraint condition which have many problems such as time-consuming,strong random in feature extraction and not flexible under constraint condition.For those problems,an intensity-based method for non-feature 3D rigid IR is proposed in this paper.The method uses Taylor expansion and the least squares (LS) to directly get the transformation parameters and has advantage of high processing speed with less processed data.It is shown by numerous experiments that the proposed IR method has high accuracy and only uses very small proportion data to process. © 2018, Chinese Institute of Electronics. All right reserved.
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页码：2384 / 2390
页数：6
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