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Assessment of Digital Image Correlation Measurement Errors: Methodology and Results

机译:数字图像相关测量误差的评估:方法和结果

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Optical full-field measurement methods such as Digital Image Correlation (DIC) are increasingly used in the field of experimental mechanics, but they still suffer from a lack of information about their metrological performances. To assess the performance of DIC techniques and give some practical rules for users, a collaborative work has been carried out by the Workgroup "Metrology" of the French CNRS research network 2519 "MCIMS (Mesures de Champs et Identification en M,canique des Solides / Full-field measurement and identification in solid mechanics, http://www.ifma.fr/lami/gdr2519. A methodology is proposed to assess the metrological performances of the image processing algorithms that constitute their main component, the knowledge of which being required for a global assessment of the whole measurement system. The study is based on displacement error assessment from synthetic speckle images. Series of synthetic reference and deformed images with random patterns have been generated, assuming a sinusoidal displacement field with various frequencies and amplitudes. Displacements are evaluated by several DIC packages based on various formulations and used in the French community. Evaluated displacements are compared with the exact imposed values and errors are statistically analyzed. Results show general trends rather independent of the implementations but strongly correlated with the assumptions of the underlying algorithms. Various error regimes are identified, for which the dependence of the uncertainty with the parameters of the algorithms, such as subset size, gray level interpolation or shape functions, is discussed.
机译:光学全场测量方法(例如,数字图像相关性(DIC))在实验力学领域中越来越多地使用,但是它们仍然缺乏有关其计量性能的信息。为了评估DIC技术的性能并为用户提供一些实用的规则,法国CNRS研究网络2519“ MCIMS(Mesures de Champs et Identification en M,canique des Solides /固体力学中的全场测量和识别,http://www.ifma.fr/lami/gdr2519。提出了一种方法来评估构成其主要组成部分的图像处理算法的计量性能,需要了解这些知识为了对整个测量系统进行整体评估,该研究基于对合成散斑图像进行位移误差评估,并假设具有不同频率和幅度的正弦位移场,生成了一系列具有随机图案的合成参考图像和变形图像。由几个DIC软件包根据各种配方进行了评估,并在法国社区中使用。精确计算所施加的值和错误,然后进行统计分析。结果显示总体趋势相当独立于实现,但与基础算法的假设紧密相关。确定了各种错误机制,讨论了不确定性与算法参数的相关性,例如子集大小,灰度插值或形状函数。

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