首页> 外文期刊>スマートプロセス学会誌 >積分ドット重心追跡法による高精度ひずみ計測(誤差低減手法の精度検討)
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積分ドット重心追跡法による高精度ひずみ計測(誤差低減手法の精度検討)

机译:通过积分重心跟踪方法进行高精度应变测量(误差减少方法的准确性检验)

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摘要

This paper presents the effectiveness of the error reduction methods for integrated dot centroid tracking method. Two important sources of error and noise are lens distortion and brightness intensity fluctuation on each pixel, which should be taken in account to achieve high accuracy of full-field strain measurement. The method can correct lens distortion at any focal distance between a digital camera and an object. Pixel based noise reduction method using Kalman filter and integrated image by multiple images was proposed. When we need very accurate strain field, the lens distortion should be removed as possible as we can. Due to the corrections, 0.1% strain accuracy is accomplished and total computation time is reduced in comparison with an arithmetic mean operations. The effectiveness of the idea is shown through experimental and numerical examples and the result of strain field measurement is presented and discussed.
机译:本文提出了误差减少方法对于集成点质心跟踪方法的有效性。误差和噪声的两个重要来源是每个像素上的透镜畸变和亮度强度波动,要实现全场应变测量的高精度,必须考虑这些误差。该方法可以校正数字相机和物体之间的任何焦距处的镜头畸变。提出了一种基于卡尔曼滤波的像素降噪方法。当我们需要非常精确的应变场时,应尽可能消除透镜畸变。由于进行了这些校正,与算术平均运算相比,可以实现0.1%的应变精度,并减少了总的计算时间。通过实验和数值算例表明了该方法的有效性,并介绍和讨论了应变场测量的结果。

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