基准光栅重构傅里叶变换轮廓术

应用傅里叶轮廓变换术进行三维形貌测量中,为了获得待测物体的高度相位信息,通常需要采集两幅图像.因此当光学系统发牛变动时,必须重新采集基准光栅图像,不利于快速测量.提出一种从变形光栅图像中获取基准光栅图像信息的测量方法.首先在变形光栅图像中记录基准光栅信息,然后通过傅里叶分析提取基准光栅频率信息,通过图像分析获得基准光栅相位信息,最后重构出一幅完整的基准光栅图像,实现三维物体形貌测量.实验结果验证了该方法的可行的.     

On-line phase measuring profilometry based on a single frame of deformed pattern

Three frames of deformed patterns are needed at least in conventional Phase Measuring Profilometry (PMP). It is generally applied to the profile measurement of a static object. For on-line measurement, because of the moving object, it is difficult to capture three or more frames of deformed patterns that satisfy the requirement of PMP. A new method of on-line 3-D shape measurement through only one frame deformed pattern in PMP is presented. A static sinusoidal fringe is projected and any one frame of real-time deformed patterns is captured by CCD. N frames of sub-images are extracted from the captured deformed pattern. Improved Stoilov algorithm is proposed to get phase. Computer simulation and experimental results show its feasibility and affectivity to reconstruct a 3-D shape and the accuracy is higher than Fourier Transform Profilemetry (FTP) which is also a method that only needs one frame of deformed pattern.     

Comparison of eight unwrapping algorithms applied to Fourier-transform profilometry

Phase unwrapping is a task common to many applications like interferometry imaging, medical magnetic resonance imaging, solid-state physics, etc. Fourier transform profilometry (FTP) values the height distribution of object, elaborating the interference between a plane reference grating and a deformed object grating. Since the height information is extracted from the phase of a complex function, the phase unwrapping is a critical step of the process. Several unwrapping algorithms are proposed in literature, but applied to measurement technologies different from FTP. The purpose of this paper is to define the performances of eight different unwrapping algorithms applied to FTP optical scan method and to define the best one. The algorithms chosen are: Goldstein's algorithm, quality guided path following method, Mask cut method, Flynn's method, multi-grid method, weighted multi-grid method, preconditioned conjugate gradient method and minimum L_p-norm method. The methods were tested on real images acquired by a FTP scanner developed and calibrated for these experiments. The objects used vary from simple geometries, like planes and cylinders, to complex shapes of common use objects. Algorithms were qualified considering the phase unwrapping errors, execution time and accuracy of the shape of objects obtained from the scan method in comparison with real ones. The results show that quality guided algorithm best fits in FTP application.     

从变形光栅条纹提取基准光栅信息

基于傅里叶变换轮廓术,提出一种直接从变形光栅条纹中提取基准光栅条纹信息并重建基准光栅的测量方法.分析了基准光栅条纹和参考平面的功能,揭示变形光栅条纹和基准光栅条纹的关系;应用窗口傅里叶变换对变形光栅条纹中的各个微小区域进行频谱分析,从中识别并提取基准光栅的频率和相位信息;重构出一幅完整的基准光栅条纹,实现三维物体形貌测量.实验结果表明该方法是可行的,为三维形貌测量提供一种新手段.     

A flexible fast 3D profilometry based on modulation measurement

This paper proposes a flexible fast profilometry based on modulation measurement. Two orthogonal gratings through a beam splitter are vertically projected on an object surface, and the measured object is placed between the imaging planes of the two gratings. Then the image of the object surface modulated by the orthogonal gratings can be obtained by a CCD camera in the same direction as the grating projection. This image is processed by the operations consisting of performing the Fourier transform, spatial frequency filtering and inverse Fourier transform. Using the modulation distributions of two grating patterns, we can reconstruct the 3D shape of the object. In the measurement process, we only need to capture one fringe pattern, so it is faster than the MMP and remains the advantages of it. In the article, the principle of this method, the setup of the measurement system, some simulations and primary experiment results are given. The simulative and experimental result proves it can restore the 3D shape of the complex object fast and comparatively accurate. Because only one fringe pattern is needed in the testing, our method has a promising extensive application prospect in real-time acquiring and dynamic measurement of 3D data of complex objects.     

利用莫尔条纹测量物体三维形貌新方法研究

提出了以计算机控制光栅产生莫尔条纹来测量物体三维形貌的新方法.利用计算机控制空间光调制器（Space Light Modulator,SLM）产生可控制幅度及位相的理想光栅,将平行光波投影到待测物体上,其反射光通过参考光栅形成莫尔条纹,利用CCD接收并进行数字图像处理,恢复出待测物体的三维形貌.对此方法进行了理论分析,推导了变形莫尔条纹与待测物形貌变化的关系式.利用MATLAB对此关系式进行仿真计算,其准确度可达0.011 μm.     

Surface profile inspection of a moving object by using dual-frequency Fourier transform profilometry

The 2π phase ambiguity caused by surface isolations and large height step can be solved by dual-frequency projection grating profilometry. However, in the Fourier transform profilometry (FTP) of a moving object, only one single deformed fringe pattern can be obtained. In order to introduce the dual-frequency technique into the FTP of moving object, a novel experimental system is designed to capture two fringe patterns with different frequency at the same time. A grating structure comprising two regions with different frequencies is projected upon the surface of the detected object. Two line-scan CCD cameras are used to capture the surface images encoded by the two kinds of patterns, respectively. By getting the corresponding image intensity at the same point of the object surface in the two acquired images, the dual-frequency technique is applied to extract the real phase without phase ambiguity. The surface profile of a specimen with a large height step is measured to prove the feasibility of the proposed method. The experimental results show that the proposed method can solve the 2π phase ambiguity problem successfully in the surface profile inspection of a moving object.     

基于SURF算法的在线三维测量方法

提出了一种采用加速鲁棒特征算法匹配运动物体的特征点,实现在线三维测量的方法.该方法只需投影一固定的正弦光栅到在线运动中的被测物体表面上,使投影光栅线垂直运动方向,当物体每移动相同的距离,由CCD采集到相应的变形条纹图,从中提出对应的背景光场,借助SURF算法对各帧背景光场的物体进行特征匹配,即可获得一组具有等步相移量的等效相移条纹图,从而采用等步相移算法可重构出在线运动物体的三维面形.实验验证了该方法的有效性和可行性,并与在线FTP方法进行了比较,所提方法的平均绝对误差小于在线FTP方法的二分之一,均方根误差小于在线FTP方法的四分之一.     

Dynamic 3-D shape measurement method based on FTP

In this paper, we propose a method for dynamic three-dimensional (3-D) shape measurement based on Fourier transform profilometry. A sequence of dynamic deformed fringe images can be grabbed by a CCD camera and saved on a disk rapidly. By a Fourier transform, filtering and inverse Fourier transform, a sequence of phase-maps can be obtained. By unwrapping these phase maps in 3-D phase space, we can obtain the shape of the dynamic object at different times. In this paper we also propose the algorithm of a phase difference between two deformed fringes, and the 3-D phase unwrapping method based on the phase difference algorithm. The computer simulation and experiment results show that this method can efficiently deal with the dynamic 3-D shape measurement.     

Neural network applied to reconstruction of complex objects based on fringe projection

The neural network has been introduced into the reconstruction of the complex object based on fringe projection. In this method, the neural network with powerful property of approximation is used to get the continuous approximate function of a discrete fringe pattern captured by an image frame grabber. The depth-related phase of the measured object modulated into the fringe pattern can be demodulated by dealing with the approximate function. Compared with the Fourier transform profilometry (FTP), in the network method, one deformed fringe pattern is needed to reconstruct the tested object, and a high spatial resolution is maintained for no filtering process. Therefore, this method performs better than FTP in the measurement of the complex object. Moreover, the network method is capable of demodulating more depth-related phase even in the case that the local shadow exists in the fringe pattern. Computer simulations and experiments validate the feasibility of this method.     

Modified fourier transform profilometry for the measurement of 3-D steep shapes

Analysing the principle of Fourier transform profilometry (FTP) for the measurement of 3-D object shapes and improved Fourier transform profilometry (IFTP) for the measurement of 3-D steep object shapes, the disadvantage of IFTP is discussed. Through the measurable slope of the height variation normal to grating line can be extended to nearly three times in IFTP, and phase-shift error is introduced. In this paper modified Fourier transform profilometry (MFTP) is described for the measurement of 3-D steep object shapes, which gets rid of the disadvantage of IFTP by utilizing the nature of FTP. The measuring precision and the measureable steepness can be ensured in this way.     

Shifted-phase calibration for a 3-D shape measurement system based on orthogonal composite grating projection

This paper proposes a novel method for reducing measurement error caused by spectrum overlapping in orthogonal-composite-grating-based 3-D measurement method. For 3-D measurement systems based on orthogonal composite grating projection, spectrum overlapping causes phase of each deformed phase-shifting fringe changed differently, which violates the principle that the shifted phases between adjacent deformed fringes must be equivalent to 2π/3, and therefore results in phase measurement error. The proposed shifted-phase calibration method is based on that phase variation of each deformed fringe is independent of height and reflectivity of the measured object. Three composite gratings are projected on the reference plane, and each carrier channel includes three phase-shifting gratings needed in phase measuring profilometry (PMP). Because the adjacent phase-shifting fringes demodulated from the same carrier channel have the phase difference of 2π/3, we can respectively calculate the reference plane's phases of three carrier channels by the phase algorithm of PMP method, and the shifted phases between them are obtained. When an object is measured, the shifted phases between deformed phase-shifting fringes can be calibrated. A new 3-D measurement mathematical model is set to reconstruct object. Our experiments prove that the proposed method can effectively restrain the effect of spectrum overlapping and improve measurement accuracy almost one times.     

应用神经网络的复杂物体三维测量

将神经网络引入基于结构光投影的复杂物体三维面形测量。在测量过程中,利用神经网络强大的函数逼近能力,得到离散条纹图的连续逼近函数,从中解出物体的相位分布信息,获得物体的三维面形分布。应用神经网络方法,在结构光投影条件下,只需要获取一幅条纹图,便可以完成复杂物体的三维面形测量。该方法相比传统的傅里叶变换轮廓术,不存在滤波操作,不会在测量过程中丢失被测物体的高频分量,具有更高的空间带宽积和灵敏度,能准确测量出复杂物体的细节,更加适用于恢复复杂物体的三维面形。并且该方法在条纹图存在阴影的情况下与傅里叶变换轮廓术相比,能更好地提取出物体的相位信息,恢复物体的三维面形。模拟及实验均验证了该方法的可行性。     

小波相位解调轮廓术

针对傅里叶变换轮廓术因混频难以准确提取基频的问题,可将小波变换用于三维形貌相位直接解调。对其原理进行了研究,通过编程实现了小波相位解调。取Morlet复小波作为小波母函数,对调制栅线图逐行进行连续小波变换,从各位置的沿尺度方向的小波变换系数幅值的极值中可直接求取对应的相位数据。由于小波函数具有空域_频率两域的局部化特性,因此它对变形栅具有很强的自适应能力。为验证新方法,对其进行了仿真分析,同时还对石膏半球模型和化妆品瓶进行了实际测量,并分别用傅里叶变换和小波变换进行了处理。结果表明,新方法有效地克服了混频的问题,改善了相位解调效果,提高了测量精度,特别适合于复杂物体的形貌测量。     

基于莫尔拓扑与图像处理的三维形貌术

本文叙述了一种新型三维物体表面测量方法,该方法利用单光栅投射待测物体表面而获取变形光栅像,然后应用图像处理方法,通过微机计算出物体表面各点高度。该方法测试精度高,速度快。文中对其原理进行了详细的叙述。并讨论了该法的测量范围、灵敏度。     

光栅投影图像测量物体三维外形

使用投影光栅技术 ,由 Computer TV Camera得到待测物体表面和一参考平面的变形投影条纹图像 ,通过比较投影光强和在两幅图像的分布位置对应关系 ,非接触测量物体表面三维外形 ,给出了测量原理和石膏头像脸部表面三维外形测量结果 ,分辨率为 0 .0 6 mm     

三维形貌测量的扫描相移法研究

物体三维形貌测量中常用的光切法的主要优点是易于实现扫描测量大型物体表面,缺点是光刀中心位置难以精确确定;相移法的主要优点是可以用较宽的光栅提高测量的灵敏度与准确度,具有测量速度快和较好的抗静态噪声的能力,缺点是当待测范围较大时,采集图像的像差较大,不利于大型物面的测量.将这两种方法有机地结合起来,取长补短,提出了一种扫描相移法.实验结果表明,这个方法不但适用于长形大物面的形貌检测,而且又大大地减少了图像采集系统畸变误差的影响,从而提高了检测准确度.     

Application of wavelet transform to 3D shape measurement

A new method for analyzing the phase distributions of deformed grating images on the surface of three-dimensional (3D) object to obtain its shape information has been presented. In the conventional technique, Fourier transform profilometry (FTP), there is an intrinsic problem of extracting the fundamental frequency component if the deformation of the grating pattern is either considerable or complicated, which will definitely bring bad influence to the analysis' accuracy. That means FTP is not appropriate to deal with the complex surfaces of 3D objects. The approach that we here introduce to solve this problem is to utilize Gabor wavelet transform (GWT), a tool excelling for its multiresolution in time-frequency domain, to analyze the phase distributions.     

次条纹积分法解调位相的三维面形测量

提出一种新的条闰相分析技术用于三维面形自动测量。将光栅图案投影于物体表面上，投影像随物体三维面形变形，形变的投影像用次条纹积分算法分析，求出位相变化和相应的三维面形。     

基于背景光调制的复合光傅里叶变换轮廓术

提出一种基于背景光调制的用于傅里叶变换轮廓术测量范围的复合光栅,该光栅通过调制一正弦条纹和不含任何相位信息的背景光来抑制零频,较基于相移技术的复合光栅有更大的优势:背景光只含直流分量,使得复合光栅的频谱更加简单,有利于滤出载波信息,提高测量精度;对从复合光栅中解调出来的背景光只涉及平均值校准,校准过程更为简单;解调出的背景光与物体表面的反射率成正比,具有潜在的应用价值。采用Matlab程序对该复合光栅进行了数值模拟,并对该光栅实用性进行了实验研究,结果证实了该光栅用于抑制零频、扩大傅里叶变换轮廓术测量范围的有效性,且提高了测量精度。