散斑的亚像素位移法计算及比较 -

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散斑的亚像素位移法计算及比较

doi:10.3788/CO.20120506.0652

王希军^,

中国科学院长春光学精密机械与物理研究所,吉林长春 130033

基金项目:

国家自然科学基金资助项目( No.60748026);国家自然基金委中韩合作研究资助项目(No.60611140400)

详细信息

通讯作者:
王希军

中图分类号:TP391.4; O436.1
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- 被引次数:0
出版历程
- 收稿日期:2012-09-21
- 修回日期:2012-11-13
- 刊出日期:2012-12-10

Computation and comparison of laser speckle with sub-pixel measurement methods

WANG Xi-jun^,

Changchun Institute of Optics,Fine Mechanics and Physics, Chinese Academy of Sciences,Changchun 130033,China

摘要

摘要:根据散斑相关测量中采用的插值法、梯度算法和牛顿-拉夫森迭代法3种亚像素位移算法的特点,逐一在亚像素尺度计算出磁流体干燥过程中的同一散斑图的偏均值和标准差变化曲线。基于得到的偏差均值和标准差讨论了3种算法处理散斑图的特点,比较了3种算法处理散斑图的计算精度、稳定性和计算用时。结果显示,在小变形的亚像素位移测量时,梯度算法的精度较高,且较为稳定,计算效率也较牛顿-拉夫森算法快约9倍。因此,在进行小变形亚像素位移测量时,采用梯度算法计算散斑是有效的。
- 散斑/
- 亚像素计算/
- 算法标准差
Abstract:On the characteristics of the interpolation, gradient-based and Newton-Rapshon algorithms used in the sub-pixel process in the laser speckle technology, the same laser speckle pattern was calculated one by one with the three sub-pixel algorithms under the drying process of the magnet fluid, and the mean bias errors and the standard deviation curves in a sub-pixel scale were worked out. The characteristics of the three algorithms to process the laser speckle pattern given by the mean bias error and standard deviation were discussed and the calculation accuracy, stability and calculation consumption were compared. It is shown that the precision and stability of the gradient-based algorithm is higher in the small deformation within the sub-pixel displacement measurement. The computing efficiency of the gradient-based algorithm is approximately nine times faster than that of Newton-Rapshon method. Therefore, it is more efficient to take advantage of the gradient-based algorithm to calculate the laser speckle in the small deformation and the sub-pixel displacement measurement.
- laser speckle/
- sub-pixel/
- calculation

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[1] PETERS W H,RANSON W F. Digital imaging techniques in experimental stress analysis[J].Opt Eng.,1981,21:427-431. [2] 邢冬梅,李鸿琦,李林安,等. 梯度功能材料稳态温度场下的热应力分析[J]. 功能材料 ,2002,33(5):505-507. XING D M,LI H Q,LI L A,et al.. Study on thermal strain field of functional gradient material in steady temperature[J].Functional Material,2002,33(5):505-507.(in Chinese) [3] 云礼宁,马少鹏,李霞镇,等. 用数字散斑相关方法研究竹材在拉伸载荷下的断裂行为[J]. 北京理工大学学报 ,2011,31(3):258-261. YUN L N,MA SH P,LI X ZH,et al.. Experimental study of the fraxturc behavior of bamboo under tension based on digital speckle correlation method[J].Transactions of Beijing Institute of Technology,2011,31(3):258-261.(in Chinese) [4] CHU T C,RANSON W F,SUTTON M A,et al.. Applications of digital image-correlation techniques to experimental mechanics[J].Exp. Mech.,1985,25:232-244. [5] PEARSON J J,HINES D C,GOLOSMAN S. Video-rate image correlation processor[J].SPIE,1977,119:197-205. [6] DVORCHENKO V N. Bounds on (deterministic) correlation functions with applications to registration[J].IEEE Trans Pattern Anal Mach Intell,1983,5(2):206-213. [7] 潘兵,续伯钦. 数字图像相关中亚像素位移测量的曲面拟合法[J]. 计量学报 ,2005,26(2):128-134. PAN B,XU B Q. Subpixel registration using qradratic surface fitting in digital image correlation[J].Acta Metrologica Sinica,2005,26(2):128-134.(in Chinese) [8] BRUCK H A,MCNEILL S R,SUTTON M A,et al.. Digital image correlation using Newton Raphson method of partial di6erential correction[J].Exp Mech,1989,29:261-267. [9] AVIS C Q,FREEMAN D M. Statistics of subpixel registration algorithms based on spatiotemporal gradients or block matching[J].Opt Eng.,1998,37(4):1290-1298. [10] ZHOU P,GOODSON K E. Subpixel displacement and deformation gradient measurement using digital image/speckle correlation(DISC)[J].Opt. Eng.,2001,40(8):1613-1620. [11] CHEN D J,CHIANG F P,TAN Y S,et al.. Digital speckle-displacement measurement using a complex spectrum method[J].Appl. Opt.,1993,32:1839-1849. [12] ORIAT L,LANTZ E. Subpixel detection of the center of an object using a spectral phase algorithm on the image[J].Pattern Recognition,1998,31:761-771. [13] 李庆扬,王能超.易大义编著,数值分析[M]. 北京:清华大学出版社,2008. LI Q Y,WANG N CH,YI D Y.Numerical Analysis[M]. Beijing:Tsinghua University Press,2008.(in Chinese) [14] 李新忠,岱钦,王希军,等. 用动态散斑法研究磁流体薄膜的干燥过程[J]. 光电子· ,2007,18(2):959-962. LI X ZH,DAI Q,WANG X J,et al.. Dynamic speckle method for studying the drying process of magnet fluid film[J].J. Optoelectronics·Laser,2007,18(2):959-962.(in Chinese) [15] ZHANG J,JIN G CH,MA SH P,et al.. Application of an improved subpixel registration algorithm on digital speckle correlation measurement[J].Optics Laser Technology,2003,35:533-542. [16] 潘兵,谢惠民,戴福隆. 数字图像相关中亚像素位移测量算法的研究[J]. 力学学报 ,2007,39(2):245-252. PAN B,XIE H M,DAI F L. An investigation of sub-pixel displacements registration algorithms in digital image correlation[J].Chinese J. Theoretical and Appl. Mechanics,2007,39(2):245-252.(in Chinese)

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