3D Rigid registration by cylindrical phase correlation method

被引：15

作者：

Bican, Jakub ^{[1
,2
]}

Flusser, Jan ^{[1
]}

机构：

[1] Acad Sci Czech Republic, Inst Informat Theory & Automat, CR-18208 Prague 8, Czech Republic

[2] Charles Univ Prague, Fac Math & Phys, CR-12116 Prague, Czech Republic

来源：

PATTERN RECOGNITION LETTERS | 2009年 / 30卷 / 10期

关键词：

Image registration; Phase correlation; Cylindrical transform; Rigid body transform; IMAGE REGISTRATION; SUBPIXEL REGISTRATION; IDENTIFICATION; EXTENSION;

D O I：

10.1016/j.patrec.2009.03.015

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Spatial alignment is an essential step before any further processing (such as fusion and change detection) of multiframe images can be done. We present a new algorithm that aligns translated and rotated pair of 3D images by means of phase correlation method (PCM). PCM is a computationally efficient method for translation estimation. We generalize a known polar-mapping approach of 2D image registration by PCM to estimate mutual rotation of a pair of 3D images about known axis. An improvement of this technique is given to eliminate influence of noise and image differences in non-ideal conditions. Finally. an iterative optimization procedure called cylindrical phase correlation method (CPCM) is proposed which uses these techniques in rigid body registration tasks. We utilize CPCM to register 3D tomographic images of human brain and study its performance in several experiments. CPCM shows extreme robustness to noise and is able to reliably and rapidly align even highly misregistered images. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：914 / 921

页数：8

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