Title
Automatic measurement of rotation center for laminography scanning system without dedicated phantoms
Abstract
With a particular function in plate-type structure tomography, computed laminography (CL) has received increasing attention in industrial nondestructive testing and become an important branch of computed tomography (CT). For the reconstruction algorithm of CL, center of rotation (COR) is the most important parameter determining the reconstruction accuracy and must be located precisely. Otherwise, even a tiny error of COR will cause obvious artifacts in reconstructed images. In order to realize measurement of COR with high accuracy and efficiency, a feasible calibration method was proposed to determine the position of COR without dedicated phantoms. According to this method, when a sample fixed on the rotational stage turns around the rotational axis, the locus of the sample's projection on the imaging plane will be an ellipse. Consistent with the symmetrical property of an elliptical image, a cross-correlation operation is adopted to determine the position of COR by locating the peak value of the cross-correlation function. The computer simulation and experimental results demonstrate that this method has high accuracy, and strong anti-noise and anti-wobble ability. In particular, this method does not need a dedicated phantom to perform the calibration, but rather uses projections of the inspected sample to calculate COR directly. (C) 2014 SPIE and IS&T
Year
DOI
Venue
2014
10.1117/1.JEI.23.5.053018
JOURNAL OF ELECTRONIC IMAGING
Keywords
Field
DocType
computed laminography,center of rotation,image cross correlation,elliptical projection
Computer vision,Computer science,Imaging phantom,Instant centre of rotation,Nondestructive testing,Tomography,Reconstruction algorithm,Artificial intelligence,Ellipse,Mollweide projection,Calibration
Journal
Volume
Issue
ISSN
23
5
1017-9909
Citations 
PageRank 
References 
0
0.34
3
Authors
6
Name
Order
Citations
PageRank
Min Yang130.87
Zhongchuan Li200.68
Lihong Liang300.34
Xingdong Li400.34
Wenli Liu500.34
Zhiguo Gui641.12