Zhang Hongying, Yi Jianjun, Yu Zhijing. In-plane displacement measurement based on frequency domain speckle correlation method with fractal interpolation[J]. Infrared and Laser Engineering, 2016, 45(9): 917004-0917004(6). doi: 10.3788/IRLA201645.0917004
| Citation:
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Zhang Hongying, Yi Jianjun, Yu Zhijing. In-plane displacement measurement based on frequency domain speckle correlation method with fractal interpolation[J]. Infrared and Laser Engineering, 2016, 45(9): 917004-0917004(6). doi: 10.3788/IRLA201645.0917004
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In-plane displacement measurement based on frequency domain speckle correlation method with fractal interpolation
- 1.
College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China
- Received Date: 2016-01-05
- Rev Recd Date:
2016-02-10
- Publish Date:
2016-09-25
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Abstract
For the low precision of in-plane displacement measurement using traditional digital speckle correlation methodin frequency domain, a new frequency domain correlation method based on fractal interpolation was proposed. Based on traditional digital speckle correlation in frequency domain, this method utilizes Hanning window function to filter the images in order to overcome the influence of edge effect on final displacement values. Considering theself-similarity of the sub-region and the whole imagein structure morphology and gray characteristics, fractal interpolation was adopted to improve the sub-pixel interpolation, which couldlocate relevant pointsand get more accurate sub-pixel displacement values. Experimental results show that this method could reduce the absolute error within 0.01 to 0.03 pixel and maintain the measurement speed as well. Moreover, the reliability of the algorithm is tested through the rigid translation experiments.
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References
|
[1]
|
I Yamaguchi. A laser-speckle straingauge[J]. Journal of Physics, 1981, 14(11):1270-1273. |
|
[2]
|
Peters W H, Ranson W F. Digital imaging techniques in experimental mechanics[J]. Optical Engineering, 1982, 21(3):427-437. |
|
[3]
|
Liang Zhijing, Wang Kaifu, Gu Guoqing, et al. Digital speckle image correlation method base on particle swarm optimization algorithm[J]. Laser Technology, 2014, 38(5):603-607. (in Chinese) |
|
[4]
|
Pan B, Yu L P, Wud F. High-accuracy 2D digital image correlation measurements with bilateral telocentric lenses:error analysis and experimental verification[J]. Experimental Mechanics, 2013, 53(9):1719-1733. |
|
[5]
|
Wang B, Pan B. Random errors in digital image correlation due to matched or overmatched shape functions[J]. Experimental Mechanics, 2015, 55(9):1717-1727. |
|
[6]
|
Zhou Chanlin, Qi Dongping. Frequency domain digital speckle correlation method and its applications[J]. Opto-Electronic Engineering, 2000, 27(3):65-68. (in Chinese) |
|
[7]
|
Yang Yuhang, Chen Yu, Li He, et al. In-plane micro-displacement measurement based on digital speckle correlation method in frequency domain[J]. Infrared and Laser Engineering, 2014, 43(4):1301-1305. (in Chinese) |
|
[8]
|
Ying Yuzheng, Shi Qinyun. Fractional box-counting and fractal dimension estimation[J]. PR AI, 1997, 10(4):357-361. |
|
[9]
|
Zhang Yuying, Mao Zhongming. Image magnification with fractal interpolation based on wavelet transformation[J]. Computer Engineering and Design, 2006, 27(18):3248-3430. (in Chinese) |
|
[10]
|
Zhou P, Goodson K E. Sub-pixel displacement and deformation gradient measurement using digital image speckle correlation (DISC)[J]. Optical Engineering, 2001, 40(8):1613-1620. |
|
[11]
|
Yu Zhijing, Tao Hongwei. Investigation of the optimal light condition on digital image correlation method[J]. Laser Optoelectronics Progress, 2014, 51(11):101201. (in Chinese) |
|
[12]
|
Pan Bing, Chen Ding, Feng Juan. Sub-pixel registration using quadratic surface fitting in digital image correlation[J]. Acta Metrological Sinica, 2005, 26(2):128-134. (in Chinese) |
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