基于双色条纹投影的快速傅里叶变换轮廓术

在实际傅里叶变换轮廓术测量中，获取的条纹图扩展的零频分量对傅里叶变换轮廓术的测量精度和测量范围有很大影响，甚至妨碍正确三维面形的恢复。π相移技术常被用来消除零频分量对测量的影响，但需要在测量系统中安装精密相移装置，并需要采集两帧具有π相位差的条纹图。传统傅里叶变换轮廓术中，完成精密相移需要较长的时间，影响了傅里叶变换轮廓术测量方法的实时性。提出了采用双色正弦光栅投影来实现从一帧条纹图中消除零频对傅里叶变换轮廓术测量的影响。该方法同传统的π相移方法相比，不需要相移装置，测量系统简单，并且能真正实现高速测量。     

基于图像二维小波多尺度分解傅里叶变换轮廓术

应用傅里叶变换轮廓术测量物体三维面形时,当被测物体形状复杂或是被噪声严重污染时,导致频谱分布展宽,发生频谱混叠现象,基频提取困难,无法准确恢复物体的三维面型.提出了基于小波分解的傅里叶变换轮廓术,采用小波变换的方法对变形条纹图进行二维多尺度分解,重构被测物的背景图像,滤出图像的零频成分,得到相对变形条纹.运用小波变换与傅里叶变换轮廓术相结合的方法,只需拍摄一幅变形条纹图,将被测物体与背景分离,不受背景成分的影响,且易于基频信息的提取,降低了对滤波器的要求.实验证明该方法较好地防止了频谱的混叠问题,提高了测量范围与解相精度.     

基于复合光栅投影的快速傅里叶变换轮廓术

在实际傅里叶变换轮廓术测量中,获取条纹图的零频分量对傅里叶变换轮廓术的测量精度和测量范围有很大影响,甚至妨碍三维面形的正确重建。π相移技术常被用来消除零频分量对傅里叶变换轮廓术测量的影响,但它需要采集两帧具有π相位差的条纹图。这影响了傅里叶变换轮廓术测量方法的实时性。提出采用复合光栅投影来实现从一帧条纹图中消除零频对傅里叶变换轮廓术测量的影响,该复合光栅是由两个不同频率的载频分别调制与其方向垂直的两帧具有π相位差的条纹并叠加形成的。实验表明,同传统的π相移方法相比,提出的新方法没有明显降低π相移傅里叶变换轮廓术的的测量精度,因此能真正实现实时高速测量。     

二值条纹高速离焦投影的旋转风扇面形测量

傅里叶变化轮廓术将结构光投影与傅里叶条纹分析相结合,只需一帧变形条纹就可以重建被测物体三维面形,是动态三维面形测量中的首选。选择最适用于傅里叶变换轮廓术测量系统的二值条纹编码方法,对二值化后的正弦条纹进行离焦投影,既克服了普通商用数字投影仪的刷新频率限制和非线性响应影响,又能充分利用光学成像系统的低通滤波特性获得很好的高速正弦光场。设计搭建了一套高速离焦投影条纹并同步采集的三维面形测量系统,利用该测量系统对高速旋转的散热器风扇进行测量,得到任意采样时刻风扇扇叶的三维面形信息,重建完整的风扇转动过程。能进一步分析散热器风扇扇叶在高速转动过程中的形变,为散热器风扇材料选择以及改善其性能提供可靠的测量技术方案与原始数据,有效地拓展了动态三维面形测量的应用。     

基于立方体分光棱镜的干涉投影傅里叶变换轮廓术

提出了一种基于立方体分光棱镜的干涉投影傅里叶变换轮廓术。基于杨氏双缝干涉原理,对立方体分光棱镜的干涉投影理论进行理论分析和仿真实验,通过调节立方体分光棱镜的安装角度可实现干涉投影条纹周期的任意调节,结果证实了该干涉投影系统的可行性以及灵活性。对小脚丫模型进行了三维面形重构,结果表明:干涉条纹相位稳定且强度分布均匀,利用所提方法可以很好地恢复物体的三维形貌。     

基于条纹投影的振动扬声器形变测量

动态傅里叶变换轮廓术是将结构光投影和傅里叶变换理论相结合的三维面形测量技术,它只需一帧变形条纹就可以恢复物体的三维面形,且速度快、精度高、易于实现,被广泛应用于各领域的动态三维测量。利用动态傅里叶变换轮廓术对扬声器在给定激励源频率下的振动过程进行动态测量,得到扬声器纸盆不同频率振动的三维面形数据。结合扬声器发声的机理,通过对振动扬声器三维面形数据的处理和分析,得到扬声器纸盆局部任意时刻的形变量,分析了产生纸盆自身形变量可能的原因,探究了纸盆振动对扬声器性能的影响,为扬声器的设计和改进提供依据。     

基于L-K局域光流的空间视线坐标法面形测量技术

提出了一种基于L-K局域光流的空间视线面形测量技术.测量系统由一个投影仪和一个CCD摄像机组成,采用小投影角度的投影方式.通过投影光线与视线(观测光线)的交点坐标,直接计算得出被测物体三维面形高度分布,其中条纹图中观察位置的变化由L-K光流算法计算得到.建立了在点光源投影条件下投影光线与视线交点坐标、光流与被测物体面形高度之间的关系.模拟与实验结果证明该方法能够准确恢复被测物体高度.与传统面形测量方法不同,视线光流面形测量技术不需要采集多幅条纹图像,也无需计算条纹频率和物体相位值,只需两幅条纹图即可恢复物体面形高度分布.     

小波变换轮廓术在双频光栅条纹中的应用

为了解决非连续物体三维面形测量中所存在的非连续相位解包问题,采用计算机生成的两频率之比为一无理数的电子光栅作为空间载频光栅条纹投影到待测物体表面。另外结合伽博小波变换分析的相位解调原理,在一幅变形双频光栅图像中分析得到两个频率各自所对应的包络相位分布,并且应用钟金钢等所提出的双频条纹查表法进行解包得到确定的调制相位分布。提出的双频光栅-小波变换-查表相位解包法很好地解决了傅里叶变换轮廓术,以及连续相位解包法在非连续物体三维面形测量中所存在的问题。给出了详细完整的理论推导过程、计算机模拟以及实验验证,证实了该方法的可行性。     

小波变换在调制度测量轮廓术中的应用

基于调制度分析的光学垂直测量技术利用投影和成像共轴,可以有效地解决复杂物体和台阶状物体测量时所存在的遮挡、阴影等问题.该方法不需要截断相位计算和相位展开过程,只需解算条纹的调制度分布就能得到被测物体的三维面形,已成为广泛应用的光学三维检测方法.针对基于傅里叶变换方法的垂直扫描测量技术存在的问题,利用小波变换的局部和多分辨率特性,将小波分析技术用于调制度测量轮廓术中,提高了每个扫描位置获取单帧条纹的调制度测量的精度.推导了调制度和小波系数之间的关系,计算机模拟和实验均验证了方法的有效性.     

一种无需标记的在线三维测量方法

提出了一种无需标记的物体在线三维面形测量方法。将一固定的正弦条纹投影到待测运动物体上,借助物体运动产生等效的相移变形条纹。基于傅里叶变换轮廓术的调制度对各帧变形条纹计算,提取其具有某一特定分布的特征区域,采用相关度最大法,检测各帧变形条纹对应的调制度特征区域的位移量来检测出物体的移动,从而实现像素匹配,得到一组像素坐标完全一一对应的等效相移变形条纹图。利用Stoilov相移算法得到物体的截断相位,利用位相展开算法展开位相,通过位相和高度映射即可实现在线移动物体的面形测量。通过计算机仿真验证了该方法的可行性。     

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.     

BP neural network applied to 3D object measurement based on fringe pattern projection

In the fringe projection profilometry, the traditional triangle method, such as Fourier-transform profilometry (FTP), is difficult to recover the stepped shape object from the deformed fringe pattern. In order to solve this problem, the neural network is introduced to deal with this kind of fringe patterns and gain the three-dimensional (3D) information of the measured object. By training the network, the relationship between the deformed fringe pattern and the height of the object can be obtained, and thereby the height of the object can be obtained. Furthermore, the object can be reconstructed perfectly without knowing the optical parameters of the experiment system. An obvious merit of this network method is that it can recover the 3D object in a short time and only need one deformed fringe pattern. Computer simulations and experiment validate the feasibility of the method.     

Complex object 3D measurement based on phase-shifting and a neural network

An accurate phase-height mapping algorithm based on phase-shifting and a neural network is proposed to improve the performance of the structured light system with digital fringe projection. As phase-height mapping is nonlinear, it is difficult to find the best camera model for the system. In order to achieve high accuracy, a trained three-layer back propagation neural network is employed to obtain the complicated transformation. The phase error caused by the non-sinusoidal attribute of the fringe image is analyzed. During the phase calculation process, a pre-calibrated phase error look-up-table is used to reduce the phase error. The detailed procedures of the sample data collection are described. By training the network, the relationship between the image coordinates and the 3D coordinates of the object can be obtained. Experimental results demonstrate that the proposed method is not sensitive to the non-sinusoidal attribute of the fringe image and it can recover complex free-form objects with high accuracy.     

一种针对彩色物体的光栅投影三维测量方法

针对传统彩色编码光栅三维轮廓术中光栅易受到物体表面彩色纹理的干扰,从而造成编码条纹颜色误判和相位误差增大这一问题,提出一种基于互补彩色光栅的三维测量方法,给出了理论分析、光栅设计原理、补偿算法与实验分析。对图像进行初步的解耦校正后,通过预先设计的光栅互补特性,依据彩色响应模型求取物体表面逐点的反射率,并对红绿蓝(RGB)三通道反射率的不平衡进行补偿,消除物体表面彩色纹理的干扰,改善光栅的正弦性。以补偿后的图像来指导彩色编码条纹的分割解码并用傅里叶变换法提取出包裹相位,依据解码结果指导相位展开,继而完成整个三维测量过程。实验证明该方法对彩色纹理的补偿准确有效,降低了彩色纹理对测量的影响。     

A novel color fringe projection based Fourier transform 3D shape measurement method

A novel Fourier transform 3D shape measurement method based on color fringe projection is proposed in order to solve the spectrum overlapping and phase unwrapping problems existed in Fourier transform profilometry (FTP). The R and G components of the color fringe are set to two sinusoidal patterns with different frequencies and the B component is set to the average value of R or G component. Then this pattern is projected to the object and the deformed fringe image is captured. Three gray patterns are separated from the color fringe, the background and high frequency noise can be eliminated using our method and the accurate unwrapped phase can be got. Only one shot color pattern is projected to get the 3D information of the object. Experiment results show that the 3D information of an object can be obtained rapidly and accurately.     

基于自适应条纹投影的高反光物体三维面形测量

结构光投影方法在三维形貌测量中应用广泛,但是由于被测物体表面反射率变化范围较大,过度曝光会导致相位信息无法获取。而传统的高动态范围扫描技术步骤复杂,耗时较长。文中提出一种自适应条纹投影技术,向待测物体表面投射较高灰度级的条纹图,判断并标记过度曝光点。降低投射强度后通过非线性最小二乘法拟合来确定每个饱和像素点最适合的最大输入灰度,用重新生成的自适应条纹图来采集图像并进行相位计算和三维形貌恢复。通过实验验证,该方法可以对物体表面的高反光区域进行有效测量,避免过度饱和,仿真误差在0.02 mm范围内,实测误差约为0.14 mm,实际实验对过曝点的补偿率可达到99%。     

格雷码与六步相移编码融合的三维结构光学测量方法

编码结构光技术是一种获取复杂目标三维结构的典型测量技术,其将编码后的结构光图案投射到待测物体表面进行调制、采集,并通过解码计算三维面形数据,可见编码方法是结构光三维测量技术的核心问题。然而,通用的格雷码编码方法和六步相移编码方法都存在一定缺陷,为此,以获取物体的高精度三维点云数据为目标,提出了一种融合格雷码与六步相移的结构光技术。首先,将格雷码结构光设计为7幅黑白相间的条纹周期图像,并通过投射角度解码操作将图像划分为多个区域;然后,设计六步相移结构光为6幅具有相位差的余弦周期图像,通过相位解包裹操作将每个子区域细分到单个像素单元;最后,融合以上两种编码结构光解码值,计算图像内每个空间点的绝对相位信息。仿真实验与实际测试实验显示,与传统六幅莫尔条纹结构光技术相比,融合结构光技术计算量较小,同时也克服了单独使用格雷码或相移技术所存在的问题,能够以较高精度获取物体目标的三维结构细节,为基于结构光的双目三维扫描系统提供一定理论依据。     

Fourier transform profilometry based on composite structured light pattern

In Fourier transform profilometry (FTP), the zero frequency of the imaged patterns will influence the measurement range and precision. The π phase shifting technique is usually used to eliminate the zero order component, but this method requires the capture of two fringe patterns with a π phase difference between them, which will impede the real time application of the method. In this paper, a novel method is proposed, in which a composite structured light pattern is projected onto the object. The composite structured light pattern is formed by modulating two separate fringe patterns with a π phase difference along the orthogonal direction of the two distinct carrier frequencies. This method can eliminate the zero frequency by using only one fringe pattern. Experiments show that there is no decrease in the precision of this novel method compared with the traditional π phase shifting technique.     

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.     

基于二进制条纹加相位编码条纹离焦投影的三维测量方法

复杂表面的精密三维测量在工业无损检测中非常重要。二进制条纹离焦投影方法在快速三维测量中有重要的应用前景,但该方法难以实现复杂表面高精度三维测量。为此,提出了基于二进制条纹加相位编码条纹离焦投影的三维测量方法。由于离焦投影滤除了高次谐波和高频噪声,可以克服投影仪的非线性伽马效应,与传统投影正弦条纹方法相比,提高了其测量精度。针对离焦投影时,随着相位编码条纹频率增大,条纹级次判决困难,出现周期错位,导致相位解包裹出错,提出了相移编码方法来解决以上问题。采用相移编码方法校正周期错位,使条纹级次判决准确,进一步提高其测量精度。实验结果表明,其测量精度可以达到0.044 mm,验证了本方法的有效性和实用性。