Image Matching Based on Local Phase Quantization Applied for Measuring the Tensile Properties of High Elongation Materials
Joint Authors
Zhang, Zhenjun
Li, Fengji
Liu, Min
Yadav, Pawan Kumar
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In recent years, high elongation materials are widely used.
Therefore, it is important to investigate the tensile properties of high elongation materials for engineering applications.
Video extensometer is equipment for measuring the materials’ tensile properties.
It uses image processing technology to match data points and measures the actual deformation.
However, when measuring high elongation materials, motion blur will appear on the collected images, which can affect the accuracy of image matching.
In this paper, we proposed an image matching method which is based on Local Phase Quantization (LPQ) features to reduce the interference of the motion blur and improve the accuracy of the image matching algorithms as well.
The experimental results on simulations show that the proposed initialization method is sufficiently accurate to enable the correct convergence of the subsequent optimization in the presence of motion blur.
The experiment of uniaxial tensile also verifies the accuracy and robustness of the method.
American Psychological Association (APA)
Zhang, Zhenjun& Li, Fengji& Liu, Min& Yadav, Pawan Kumar. 2016. Image Matching Based on Local Phase Quantization Applied for Measuring the Tensile Properties of High Elongation Materials. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112287
Modern Language Association (MLA)
Zhang, Zhenjun…[et al.]. Image Matching Based on Local Phase Quantization Applied for Measuring the Tensile Properties of High Elongation Materials. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112287
American Medical Association (AMA)
Zhang, Zhenjun& Li, Fengji& Liu, Min& Yadav, Pawan Kumar. Image Matching Based on Local Phase Quantization Applied for Measuring the Tensile Properties of High Elongation Materials. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112287
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112287