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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 Mécanique 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. Keywords Digital image correlation - Error assessment - Spatial resolution - Displacement resolution - Uncertainty assessment - Benchmark - Speckle pattern - Texture Workgroup “Metrology” of the French CNRS research network 2519 “Mesures de Champs et Identification en Mécanique des Solides/Full-field measurements and identification in solid mechanics”. URL: http://www.ifma.fr/lami/gdr2519
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(固体样品鉴定和鉴定)/固体力学领域的现场测量和识别,http://www.ifma.fr/lami/gdr2519)”。提出了一种方法来评估构成图像处理算法主要组成部分的图像处理算法的计量性能,而对整个测量系统进行全局评估则需要了解这些知识。该研究基于合成散斑图像的位移误差评估。假设具有各种频率和幅度的正弦位移场,则已生成具有随机图案的一系列合成参考图像和变形图像。通过各种DIC软件包根据各种配方对位移进行评估,并在法国社区中使用。将评估的位移与精确的施加值进行比较,并对误差进行统计分析。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。确定了各种错误状态,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。关键字数字图像相关性-误差评估-空间分辨率-位移分辨率-不确定度评估-基准-斑点图案-法国CNRS研究网络2519“ Mesures de Champs et Identification enMécaniquedes Solides /全场测量和”固体力学中的识别”。网址:http://www.ifma.fr/lami/gdr2519

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