非接触性动态位移测试方法的研发及应用验证
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摘要
基于Hough变换圆检测原理研发了非接触性动态位移测试方法,采用振动台进行了应用验证.结果表明,Hough变换具有良好的圆检测效果.图像计算效率与角度、半径的检测步长的选取相关;选取较大半径检测步长时,图像处理速度将大幅提高;选取较大角度检测步长时,图像处理速度提高并不显著.通过不同试验验证了自行研发的非接触性位移测试方法在不同频率正弦波输入、图像中不同半径标靶圆及相机-标靶不同物像空间距离特性条件下均具有良好的识别效果.工程实用角度,非接触性位移测试方法可以同时捕捉多个测点的位移及有效解决测试量程受限的问题,并可避免由于接触对被测体产生的干扰.
Non-contact displacement test method was proposed based on the circle detection using Hough transform,which was verified by the shaking table test.The verification results showed that Hough transform had a good performance on the circle detection.The computation efficiency on the images depended on the selected detection steps of the angle and radius.The processing speed of images increased sharply when a larger detection radius step was selected,however,the processing speed increased slightly when a larger detection angle step was adopted.The independently-developed non-contact displacement test method was verified under different testing conditions,considering the input sine wave with different frequencies,the target circle with different radius,and different camera-target distances.The results showed that the proposed method had a good recognition performance.Non-contact displacement test method can capture the displacement of several gauge points at the same time and effectively solve the problem of limited test range,moreover,it can avoid the interference to the measured objects.
Non-contact displacement test method was proposed based on the circle detection using Hough transform,which was verified by the shaking table test.The verification results showed that Hough transform had a good performance on the circle detection.The computation efficiency on the images depended on the selected detection steps of the angle and radius.The processing speed of images increased sharply when a larger detection radius step was selected,however,the processing speed increased slightly when a larger detection angle step was adopted.The independently-developed non-contact displacement test method was verified under different testing conditions,considering the input sine wave with different frequencies,the target circle with different radius,and different camera-target distances.The results showed that the proposed method had a good recognition performance.Non-contact displacement test method can capture the displacement of several gauge points at the same time and effectively solve the problem of limited test range,moreover,it can avoid the interference to the measured objects.
引文
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[2]陈国兴,左熹,王志华,等.可液化场地地铁车站结构地震破坏特性振动台试验研究[J].建筑结构学报,2012,(1):128-137Chen Guoxing,Zuo Xi,Wang Zhihua,et al.Shaking table test on seismic failure characteristics of subway stationstructure at liquefiable ground[J].Journal of Building Structures,2012,(1):128-137
[3]左熹,陈国兴,王志华,等.软弱场地上地铁车站结构近远场地震反应特性振动台试验研究[J].土木工程学报,2010,(43):299-305.Zuo Xi,Chen Guoxing,Wang Zhihua,et al.Shaking table test on the seism ic response of subway station structure insoft sites under near and far field ground motion[J].China Civil Engineering Journal,2010,(43):299-305
[4]孙伟,何小元,郑翔.基于数字图像相关的三维刚体位移测量方法[J].光学学报,2008,(5):894-901Sun Wei,He Xiaoyuan,Zheng Xiang.Three-dimensional rigid body displacement measurement based on digital imagecorrelation[J].Acta Optica Sinica,2008,(5):894-901
[5]杨会臣,贾金生,王海波.高速摄影测量在振动台动力模型试验中的应用[J].水电能源科学,2012,(1):153-155Yang Huichen,Jia Jinsheng,Wang Haibo.Application of high speed photogrammetry to vibrating platform dynamicmodel test[J].Water Resources and Power,2012,(1):153-155
[6]任伟中,寇新建,凌浩美.数字化近景摄影测量在模型试验变形测量中的应用[J].岩石力学与工程学报,2004,(3):436-440Ren Weizhong,Kou Xinjian,Ling Haomei.Application of digital close-range photogrammetry in deformationmeasurement of model test[J].Chinese Journal of Rock Mechanics and Engineering,2004,(3):436-440
[7]黄永林,叶玉堂,陈镇龙,等.一种新的快速Hough变换圆检测方法[J].电子测量与仪器学报,2010,(24):837-841Huang Yonglin,Ye Yutang,Chen Zhenlong,et al.New method of fast Hough transform for circle detection[J].Journalof Electronic Measurement And Instrument,2010,(24):837-841
[8]Orazioa T D,Guaragnellab C,Leoa M,et al.A new algorithm for ball recognition using circle Hough transform and neuralclassifier[J].Pattern Recognition,2004,(37):393-408
[9]Jiang L Y.Efficient randomized Hough transform for circle detection using novel probability sampling and feature points[J].Optik,2012,(123):1834-1840
[10]Hough P V C.Methods and means for recognizing complex patterns:US,3069654[P].1962-12-18
[11]Rachid D.Using canny's criteria to derive a recursively implemented optimal edge detector[J].International Journal ofComputer Vision,1987:167-187
[12]Nyquist H.Certain topics in telegraphic transmission theory[J].Proceedings of the IEEE,2002,(86):280-305
[13]Hyndmana R J,Koehlerb A B.Another look at measures of forecast accuracy[J].International Journal of Forecasting,2006,22:679-688
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