基于相邻子区相关系数的散斑质量评价方法

通过分析相邻子区间的相关系数与散斑质量的关系,提出一种新的全局散斑质量评价参数,即平均近邻零均值归一化互相关系数,可用于单个散斑的评价。与信息熵、平均灰度梯度这两种常用的全局散斑质量评价参数对比分析发现,提出的平均近邻零均值归一化互相关系数稳定性更好。实验结果表明,平均近邻零均值归一化互相关系数越大,位移测量中的均值误差和标准差越小,散斑的质量越高;当散斑在位移实验中的最大均值误差为0.01 pixel时,平均近邻零均值归一化互相关系数一直稳定在0.90左右,而其他几种参数值随着散斑尺寸的增大发生了较大的变化,证明了该参数的有效性,且更适合单个散斑的质量评价。     

双功能数字散斑干涉位移及空间梯度同时测量

为了满足无损检测中复合材料在复杂载荷下多参数变量评估的需求,提出了一种基于光路复用的双功能数字散斑干涉系统,能够同时实现数字散斑干涉和数字剪切散斑干涉测量功能.通过控制其中一个反射镜-波片组合,当该组合离位时,构成数字散斑干涉测量光路,实现离面位移测量;当该组合在位时,构成数字剪切散斑干涉测量光路,实现离面位移空间梯度的测量.测量过程中只需简单切换该组合的位置就可以实现单次加载下被测物体表面离面位移及其空间梯度的同时测量.该系统光路结构简单、切换效率高,能够同时获得高质量的位移及空间梯度测量结果.实验证明,双功能数字散斑干涉系统既具备高抗干扰能力,又具备高灵敏度测试能力,适合复合材料无损检测现场使用.     

一种利用散斑干涉和灰度等级测量纳米级位移的新方法

为了解决散斑干涉计量中亚波长位移测量的困难，相移技术被广泛使用，但相移技术有其固有缺点，应用非常麻烦。这里提出一种不同于已往相移技术的全新微小位移测量方法。即把灰度等级法和散斑干涉计量相结合以实现对亚波长位移或变形的测量。克服了散斑干涉计量中变形或位移小于半个波长不产生完整条纹时计量困难的缺点,论述了其测量原理并进行了实验。实验结果很好地证明了上述方法的可行性。为精密散斑干涉计量提供了一种更简单有效的方法。     

二次波面干涉的剪切散斑干涉计量术

提出了一种新的剪切散斑干涉方法─—二次波面干涉的剪切散斑干涉计量术．这一方法将被测物体变形前后波面的第一次干涉信息分别储存在两张全息干板上，通过光学信息处理实现波面的第二次干涉．两次波面干涉分别消除了位移和位移的一阶导数场对波面位相的影响，得到仅反映位移二阶导数场的条纹图．     

基于数字图像相关的平面物体面形散斑图形偏折术

提出了一种基于数字图像相关(DIC)的散斑图形偏折术(SPD),将二维DIC用于测量镜面的三维面形。用散斑位移代替条纹形变,使偏折术的测量过程更简单高效,只需拍摄两幅散斑图,面形检测精度可以达到微米量级。介绍了SPD的原理与方法,推导了相关公式,对散斑图进行了设计制作。实验测量了一块有机玻璃板的面形,与相位测量偏折术的结果对比,其测量精度接近1μm。     

基于灰度图差分梯度的雾化角测量方法北大核心CSCD

雾场边界及雾化角作为雾场的重要特性参数,主要通过图像法进行测量。在图像处理过程中,一般是将灰度图转化为二值化图像,然后依次针对二值化图像进行处理和计算。由于雾场的多相流特性,得到的二值化阈值和图像与实际雾场是否一致缺少评判依据。提出根据喷雾的灰度图像直接处理,得到掩模板并作用于灰度图像,采用图像形态学和迭代方法,计算灰度图像的梯度值。通过得到梯度值最大时的灰度图像,计算雾场边界和雾化角。实验表明,该方法提供了一种雾场边界的数值判断依据,通过梯度最大值判断并提取雾场边界,从而通过程序自动实现雾场边界提取与雾化角拟合测量。     

基于图像分形相关位移测量新方法的研究

本文从分形理论出发提出了图像分形相关位移测量的新方法。较之20世纪80年代发展起来的以像素的灰度相关为基础的数字散斑相关法，分形相关法更充分地利用了散斑图的相关性特征，有关更深入的发展潜力。为了验证理论与方法的可靠性，进行了验证性实验并和数字散斑相关法的测试结果进行了比较。测试结果显示，测试精度至少可达0.06个像素。最后讨论了这一方法的发展前景。     

基于灰度梯度正则化去噪的改进数字图像相关法

为了提高数字图像相关法的抗噪声能力,分析了灰度梯度计算误差对数字图像相关法测量精度的影响,提出采用Tikhonov正则化方法计算图像灰度梯度,进而通过反向组合高斯-牛顿(IC-GN)法计算图像的亚像素位移;基于数值仿真散斑图研究灰度梯度的相对计算误差,并分析采用Tikhonov正则化方法计算图像灰度梯度后,改进数字图像相关法的测量精度,结合实验验证所提方法在实际噪声环境中的抗噪声能力。结果表明:灰度梯度对数字图像相关法测量精度有较大影响,而采用Tikhonov正则化方法后,可以有效提高数字图像相关法的测量精度与抗噪声能力。     

数字散斑亚像素小角位移测量的曲面拟合法

与传统测量方法相比,数字散斑相关法由于其目标特征单元网格划分的灵活性,能够更好地满足不同场合小角位移的测量需求。针对该方法亚像素小角位移测量的曲面拟合参数选择问题,研究了亚像素测量图像小角旋转前后的九点二次曲面拟合法,并根据计算机生成模拟散斑进行模拟实验分析,得到最佳误差效率优化条件下的曲面拟合法求解亚像素小角位移的最佳散斑尺寸3.5 pixel、计算窗口尺寸41×41 pixel和拟合窗口尺寸3×3 pixel。实验验证了上述测量参数的有效性,为进一步的曲面拟合法数字散斑成像角位移测量提供参考。     

梯度-曲面拟合法的亚像素位移测量算法

数字图像相关方法作为光学测量的一种测量方式在结构变形测量中有广泛应用,其中亚像素位移测量精度成为关键。基于亚像素位移测量精度影响因素的分析,研究了计算子区灰度插值、计算窗口大小以及拟合距离对亚像素位移测量的影响。提出了一种梯度-曲面拟合法的亚像素位移测量算法,即,先采用梯度法计算出结构的亚像素位移,再对计算子区进行亚像素插值,然后调整拟合距离进行亚像素曲面拟合。最后利用计算机模拟算例验证了该方法具有良好的计算效率、计算精度及抗噪声能力。     

Assessment of speckle-pattern quality in digital image correlation based on gray intensity and speckle morphology

In digital image correlation (DIC), speckle patterns are generated on the surface of a specimen to resolve uniqueness issues. Thus, speckle patterns significantly affect the accuracy of image correlation. To assess the quality of speckle patterns, the standard deviation of gray intensities within each speckle (SDGIS) is introduced as a new metric. On the basis of the cumulative distribution of SDGIS, speckle-pattern quality measurement (ρ) is proposed, which integrates the features of gray intensity and speckle morphology. Twelve speckle patterns are generated by changing the spraying time and nozzle sizes of an airbrush because these are associated with the speckle volume fraction and speckle size, respectively. In addition, three displacement fields are used to investigate the effects of speckle patterns on the accuracy of the DIC results. For the 12 speckle images associated with the three displacement fields, the correlation results demonstrate that the proposed speckle-pattern quality measurement is inversely proportional to the averaged error of the subset method. This is statistically confirmed by evaluating the correlation coefficient and p-value. Furthermore, the error of the subset method is more affected by speckle patterns than the subset size when the subset size is sufficiently large.     

Gaussian pre-filtering for uncertainty minimization in digital image correlation using numerically-designed speckle patterns

This paper discusses the effect of pre-processing image blurring on the uncertainty of two-dimensional digital image correlation (DIC) measurements for the specific case of numerically-designed speckle patterns having particles with well-defined and consistent shape, size and spacing. Such patterns are more suitable for large measurement surfaces on large-scale specimens than traditional spray-painted random patterns without well-defined particles. The methodology consists of numerical simulations where Gaussian digital filters with varying standard deviation are applied to a reference speckle pattern. To simplify the pattern application process for large areas and increase contrast to reduce measurement uncertainty, the speckle shape, mean size and on-center spacing were selected to be representative of numerically-designed patterns that can be applied on large surfaces through different techniques (e.g., spray-painting through stencils). Such “designer patterns” are characterized by well-defined regions of non-zero frequency content and non-zero peaks, and are fundamentally different from typical spray-painted patterns whose frequency content exhibits near-zero peaks. The effect of blurring filters is examined for constant, linear, quadratic and cubic displacement fields. Maximum strains between ±250 and ±20,000 µε are simulated, thus covering a relevant range for structural materials subjected to service and ultimate stresses. The robustness of the simulation procedure is verified experimentally using a physical speckle pattern subjected to constant displacements. The stability of the relation between standard deviation of the Gaussian filter and measurement uncertainty is assessed for linear displacement fields at varying image noise levels, subset size, and frequency content of the speckle pattern. It is shown that bias error as well as measurement uncertainty are minimized through Gaussian pre-filtering. This finding does not apply to typical spray-painted patterns without well-defined particles, for which image blurring is only beneficial in reducing bias errors.     

Quality assessment of speckle patterns for digital image correlation

Digital image correlation (DIC) is an optical–numerical full-field displacement measuring technique, which is nowadays widely used in the domain of experimental mechanics. The technique is based on a comparison between pictures taken during loading of an object. For an optimal use of the method, the object of interest has to be covered with painted speckles. In the present paper, a comparison is made between three different speckle patterns originated by the same reference speckle pattern. A method is presented for the determination of the speckle size distribution of the speckle patterns, using image morphology. The images of the speckle patterns are numerically deformed based on a finite element simulation. Subsequently, the displacements are measured with DIC-software and compared to the imposed ones. It is shown that the size of the speckles combined with the size of the used pixel subset clearly influences the accuracy of the measured displacements.     

Quality assessment of speckle patterns for DIC by consideration of both systematic errors and random errors

The performance of digital image correlation (DIC) is influenced by the quality of speckle patterns significantly. Thus, it is crucial to present a valid and practical method to assess the quality of speckle patterns. However, existing assessment methods either lack a solid theoretical foundation or fail to consider the errors due to interpolation. In this work, it is proposed to assess the quality of speckle patterns by estimating the root mean square error (RMSE) of DIC, which is the square root of the sum of square of systematic error and random error. Two performance evaluation parameters, respectively the maximum and the quadratic mean of RMSE, are proposed to characterize the total error. An efficient algorithm is developed to estimate these parameters, and the correctness of this algorithm is verified by numerical experiments for both 1 dimensional signal and actual speckle images. The influences of correlation criterion, shape function order, and sub-pixel registration algorithm are briefly discussed. Compared to existing methods, method presented by this paper is more valid due to the consideration of both measurement accuracy and precision.     

变孔径像面散斑平均光强标定随机表面的理论与实验

采用随机表面的高斯相关模型和统计光学原理,推导出弱散射体在4f系统中的像面上光强的表达式.在此基础上提出了均方偏差粗糙度和横向相关长度的标定方法,该方法用理论结果对实验测量的像面散斑平均光强随滤波孔半径的关系曲线进行拟合,同时测量出被测样品表面的两个统计量.实验上制作了高斯相关随机表面样品,对其表面参数进行了测量,与AFM所测结果符合得较好,这表明该方法具有较高的精度. 关键词： 弱散射体 像面散斑 平均光强     

Continual deformation analysis with scanning phase method and time sequence phase method in temporal speckle pattern interferometry

If a laser beam illuminates a continual deformation object surface, it will lead to a temporal speckle pattern on the observation plane. Recording this time-dependent speckle pattern the deformation of the surface of an object can be obtained. Two methods, scanning phase method (SPM) and time sequence phase method (TSPM), have been introduced for measuring the displacement caused by the deformation in temporal speckle pattern interferometry (TSPI). Their principle is that by capturing a series of speckle interference patterns related to the object deformations, the fluctuations in the intensity of the interference patterns can be obtained. Through scanning these fluctuations and estimating both the average intensity and modulation of the temporal speckle interference patterns, the phase maps for whole-field displacements are calculated. In this way one is capable of quantitatively measuring continual displacements simply using a conventional electronic speckle pattern interferometry (ESPI) system without phase shifting or a carrier. The elaboration on the new methods is given in this paper and experiments are performed to demonstrate their performance with a conventional ESPI system.     

Comparison between instantaneous and integral intensities in dynamic speckle pattern interferometry

A new speckle measurement technique called temporal speckle pattern interferometry or time sequential speckle pattern interferometry has been developed recently. Its principle is that by capturing the temporal speckle patterns related to the object deformation or displacement, the whole-field displacement, the amplitude of the vibrating object and the shape of the tested object can be calculated through speckle intensity fluctuation scanning technique or Fourier-transforming method. In this paper, we combine the analytical and numerical methods to simulate the properties of the time demodulation in temporal speckle patterns interferometry techniques. The performance of three kinds of temporal phase sequences, power, exponential and harmonic phase sequences, are studied with the parameters of temporal speckle intensity fluctuation, the value of the spatial phase term, optical integral time of the recording camera and the initial phase of the temporal speckle intensities. The results indicate that the normalized value and period change of the instantaneous intensity are nearly coincident with that of the integral intensity for the harmonic temporal phase sequences and are different for the power and exponential temporal phase sequences.     

激光散斑图样的光流场分析研究

提出了一种基于动态图像处理的新的电子散斑计量方法－光流场分析法，从新的角度出发讨论了运用图像序列分析的概念秋解决散斑图样测量的可行性和简便性。并且解决了当散斑图像不满足进行光流场分析的约束条件时的测量问题，即通过多通道的图像处理方法来改变图像连续特性，从而扩大了测量范围。     

Scaling reduction of the contrast of fractal speckles detected with a finite aperture

It is known that speckle patterns with fractal properties, called fractal speckles, are produced by illuminating a diffuser with the coherent light having the intensity distribution obeying a negative power law. One of key properties of fractal speckles is the spatial correlation function obeying a negative power law, which implies that such speckles have scaling properties. In detecting fractal speckles, the effect of the spatial integration is inevitable in most cases since they have speckle grains of various scales including very fine ones. To evaluate this effect, in this paper, the contrast of spatially integrated intensity distributions is investigated theoretically and experimentally for fractal speckles. The results show that the contrast reduction with the size of the detector aperture obeys a negative power function related with the exponent of the intensity correlation coefficient of fractal speckles.     

一种改进的Sobel图像边缘检测算法

边缘检测在数字图像处理和计算机视觉中有着重要的应用。对数字图像处理中具有代表性的Sobel边缘检测算法进行了分析。针对该算法存在检测出的边缘粗且对噪声极其敏感的缺点,提出了一种改进算法。该算法对实际图像中出现的边缘类型进行了数学模型描述,然后把连续型的边缘模型作为研究对象,重新构造了对图像边缘方向进行检测的模板。针对Sobel边缘检测基于一阶导数极大值或二阶导数零交叉而带来的边缘定位准确度不高的缺点,对图像梯度图进行了细化处理。仿真结果表明:该算法对图像噪声干扰有较强的抑制能力,提取的边缘定位准确、结构细腻。