Further analysis of interpolation effects in mutual information-based image registration

被引：24
|
作者：
Ji, JXQ
Pan, H
Liang, ZP
机构：
[1] Univ Illinois, Dept Elect & Comp Engn, Urbana, IL 61801 USA
[2] Univ Illinois, Beckman Inst Adv Sci & Technol, Urbana, IL 61801 USA
[3] Sharp Labs Amer, Camas, WA 98683 USA
来源：
IEEE TRANSACTIONS ON MEDICAL IMAGING | 2003年 / 22卷 / 09期
关键词：
image registration; interpolation effect; mutual information; sampling effect;
D O I：
10.1109/TMI.2003.816957
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents an analysis of the mutual information (MI) metric in rigid-body registration of two digital images, in particular, local fluctuations of the MI value due to interpolation. In contrast to existing work in this area, this paper starts with two hypothetical continuous images, based on which both sampling and interpolation effects are analyzed. This analysis indicates that an "ideal" interpolator may not be able to completely suppress the undesirable local minima of the MI metric if the sampling effect is not negligible. Several preprocessing methods are discussed for reducing the interpolation effects.
引用
收藏
页码：1131 / 1140
页数：10
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