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Mathematical Problems in Engineering
Volume 2016, Article ID 5182106, 10 pages
http://dx.doi.org/10.1155/2016/5182106
Research Article

Image Matching Based on Local Phase Quantization Applied for Measuring the Tensile Properties of High Elongation Materials

1Department of Electric and Information Engineering, Hunan University, Yuelu District, Changsha 410082, China
2National Engineering Laboratory for Robot Visual Perception and Control Technology, Yuelu District, Changsha 410082, China

Received 10 May 2016; Revised 23 August 2016; Accepted 24 August 2016

Academic Editor: Eric Florentin

Copyright © 2016 Zhenjun Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.