A DIRECT-type global optimization algorithm for image registration

被引：3

作者：

Zheng, Cuicui ^{[1
]}

Calvin, James ^{[1
]}

Gotsman, Craig ^{[1
]}

机构：

[1] New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA

来源：

JOURNAL OF GLOBAL OPTIMIZATION | 2021年 / 79卷 / 02期

基金：

美国国家科学基金会;

关键词：

Global optimization; Convergence; Image registration; LIPSCHITZ; AFFINE;

D O I：

10.1007/s10898-020-00914-y

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

Image registration is an important component of many image processing problems which often require optimizing over some set of parameters. In the image registration problem, one attempts to determine the best transformation for aligning similar images. Such problems typically require minimizing a dissimilarity measure with multiple local minima. We describe a global optimization algorithm and apply it to the problem of identifying the best transformation for aligning two images.

引用

页码：431 / 445

页数：15

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