基于正弦条纹投影的三维传感及其去包裹处理

采用液晶显示（LCD）投影仪产生的正弦条纹,用四步相移技术对物体进行了三维形貌测量,重点讨论了去包裹问题,对大面积相位间断区的模板标识及含离散相位间断点条纹图的去包裹总是提出了新的处理方法,给出了实际测量及计算结果。     

相移阴影莫尔条纹正交化解调技术

提出一种基于克莱姆正则化分析法的三帧自标定相移阴影莫尔三维轮廓技术.该技术首先采用移动光栅的方法获得相移条纹图,然后通过不同帧相移条纹图相减去除条纹图背景,进而结合克莱姆正交化法和最小二乘法,发展了一种相位解调方法,提取了测量相位.以五步Harlharan算法为参考,用不同算法对同一物体表面进行测量.结果表明,相对于典型的三步相移法和主量分析方法,提出的方法测量得到的相位误差最小(0.5rad),且简化了测量过程.     

涡旋光的干涉特性及其在变形测量中的应用

将涡旋光应用于电子散斑干涉,测量变形物体的离面位移.把传统的电子散斑干涉测量技术与液晶空间光调制器相结合,将所获得的涡旋光作为参考光或者物光进行变形测量.推导出物光为平面光、参考光为涡旋光,和参考光、物光均为涡旋光时物体变形后的干涉强度公式,模拟计算了变形后的干涉图样,分析了变形图样的特征.运用四步相移方法得到了物体的变形相位公式,通过解包裹得到了物体的变形相位.模拟计算得到的三维相位分布图与物体离面位移的变形相位理论值的三维分布图相吻合.模拟实验结果表明,涡旋光可以应用于物体的变形测量,为变形测量提供新的途径.     

用于三维测量的快速相位解包裹算法

减少条纹投影轮廓术的条纹图数量一直是本领域的研究热点。传统的时间相位解包裹算法,一般需要额外的条纹信息来确定条纹级次,导致条纹图数量过多。提出一种用于三维测量的快速相位解包裹算法,只需要N步标准相移正弦条纹图,就可以完成绝对相位的计算。首先,利用标准相移算法计算包裹相位和消除背景的掩膜;然后,直接利用包裹相位和掩膜,根据连通域标记算法计算条纹级次,进而求得绝对相位。该方法最少只需3幅条纹图,就可以完成三维测量,数据处理速度快。计算机仿真和实验结果验证了该方法的有效性和鲁棒性。     

采用相位半角的两步相移法

针对经典两步相移算法对光强不均匀分布和物体不均匀反射率处理能力不强的问题,分析相移量为90°的情况,采用光强模型,直接对光强进行数据操作,利用三角关系,给出了求解折叠相位相位半角的计算方法,通过高度-相位差公式得到物体的三维形貌数据,避免了因归一化操作过程中取最值方法引起的误差.实验对比分析了经典四步相移法和两步移相法,表明在环境光强可以忽略不计或足够小的情况下,该方法误差范围为±0.2mm,结果优于经典两步相移法,接近于测量误差最小的四步相移法.     

一种基于结构光条纹投影的微小物体测量系统

为了通过结构光投影的方法测量微小物体,构建了一套微小物体三维形貌测量系统,视场范围可达1.8 cm×1.6 cm。这套测量系统利用了Light Crafter 4500数字投影组件的高速投影、立体显微镜的低畸变缩放、远心镜头的大景深与低畸变成像的特性。先利用立体显微镜对Light Crafter 4500投影的相移条纹图进行低畸变缩小,再投影到待测物体表面,采用配有远心镜头的相机同步记录受到物体表面形貌调制而发生形变的条纹,利用三步相移法计算出条纹对应的截断相位图,再根据可靠路径跟踪相位展开算法求取连续的相位分布,重建被测物体的三维表面形貌。实验成功重建了以BGA芯片为代表的微小物体表面三维形貌。实验结果表明,系统测量精度达到11 μm,系统的有效深度测量范围为700 μm。     

采用相位半角的两步相移法EI北大核心CSCD

针对经典两步相移算法对光强不均匀分布和物体不均匀反射率处理能力不强的问题,分析相移量为90°的情况,采用光强模型,直接对光强进行数据操作,利用三角关系,给出了求解折叠相位相位半角的计算方法,通过高度-相位差公式得到物体的三维形貌数据,避免了因归一化操作过程中取最值方法引起的误差.实验对比分析了经典四步相移法和两步移相法,表明在环境光强可以忽略不计或足够小的情况下,该方法误差范围为±0.2mm,结果优于经典两步相移法,接近于测量误差最小的四步相移法.     

基于相位追踪的水中物体三维面形测量

提出一种基于相位追踪和光线迫迹算法测量水中物体三维形貌的新方法.该方法利用正弦面结构光来记录物体的三维面形数据,首先由投影仪投出止弦条纹图来调制淹没于水中物体的三维信息,摄像机拍摄获得物体表面的变形条纹图,然后利用相位追踪算法确定投影条纹和变形条纹之间的对应点,最后对相应的匹配点对进行光线追迹计算后,可以恢复出物体的三维形貌.由于使用面结构光进行测量,无需移动装置来实现对物体的一维或二维全场扫描,这样既节约了经济成本又缩短了测量时间.利用该方法进行了实际测量,得到了较好的重建结果,证明了本方法的正确性和可行性.     

一种提高干涉相位识别精度的方法

针对开环相移驱动下的单色光干涉测量,提出一种满足四步法的高精度相位识别的方法。首先选取干涉场中存在适当相位差的两像素点,建立相移驱动单周期内两像素点灰度序列值之间的干涉方程组。运用椭圆拟合获取相应干涉方程组参数,然后通过反算序列相位确定逐点驱动步长或序列相位信息。结合序列相位信息,运用Lagrange抛物插值算法,设计计算满足四步法的4幅干涉图,并计算各像素点的初相位。最后,运用多波长算法计算表面形貌并进行误差分析。实验表明:计算得到的方波多刻线样板的Ra值为0.439 0 m,测量误差为0.23%,此方法降低了对测量条件的硬件与环境要求,满足表面形貌高精度测量的要求。     

二帧变换光源阴影莫尔技术研究

为了快速测量物体表面三维轮廓,提出一种变换光源位置的相移阴影莫尔技术.该方法通过控制两个光源的亮灭,将相移引入测量视场.使用二维经验模式分解法对条纹图进行正则化,结合螺旋相位变换方法和二帧相移算法对测量高度进行估计,利用发展的迭代自调算法提取精确测量相位.计算机仿真和光学实验结果表明,该方法的解调准确度优于现有的二帧相移解调算法,同时,由于消除了测量过程中必要的机械运动,只需要二帧条纹图进行相位解调,节约了测量时间.     

双步相移光栅投影测量轮廓术

双三步相移算法证明可以较大地减少数字光栅投影测量轮廓术的测量误差,基于理论分析与实验验证,针对常用的四步、五步相移算法,提出了相应的双四步、双五步相移算法。通过两次传统相移算法得到两幅主值相位图,直接融合两幅主值相位图即可获得测量所需的相位信息,与已有的针对两幅展开相位进行相位融合方法相比,此方法实现简单且更加有效。相较于双三步相移算法,双四步和双五步相移算法实现简单且能够极大地减少测量误差,仅需通过投影2倍数目传统相移算法所需的投影光栅,且可保持常用三步、四步及五步相移算法固有的优点。     

Multi-STFT for adaptive SCPS phase determination

This paper presents a fast and reliable approach for phase modulo 2π-calculation from a single fringe pattern. It calculates correct phase values even for very complex and variable shape gradients based on a locally variable fringe period determined for the entire image. In the paper, a new two-step method for wrapped phase calculation is proposed. It is performed through the use of a method based on a multiple local fast Fourier transform for estimation of a local fringes period map and a 5-point spatial carrier phase shifting (SCPS) formula for phase modulo 2π-calculation. The described approach is verified by a correct demodulation of a real fringe pattern taken by a 3D-shape measurement system.     

一种新的360°三维轮廓术

提出了运用相移技术的光刀投影式测量３６０°回转物体三维轮廓的新方法。该方法对投影光刀引入正弦分布光场,利用相移技术对光刀投影狭缝进行相位计算,可得出各点的包裹相位分布,然后再利用光刀投影测量原理得到的高度信息对相位进行去包裹处理,从而得到具有较高精度的相位测量结果。最后根据相位与物体高度的几何关系,得到物体的三维轮廓数据。文中详细介绍了这一技术的原理及实验结果     

Three-dimensional profile measurement of the blade based on multi-value coding

As the blade must have precise size and accurate shape, three-dimensional (3D) profile measurement of the blade is very important. 3D profile measurement method based on multi-value coding is proposed. This method designs a multi-value coding stripe pattern combined with the four-step phase-shifting method. Two kinds of fringe patterns are projected onto the object respectively, one is sinusoidal intensity distribution used for wrapped phase, the other is multi-value coding fringe pattern for phase unwrapping. Because this encoding method is simple, and easy to implement, the absolute phase can be quickly implemented. Experimental results demonstrated that the proposed method can achieve a high precision, high speed and low cost 3D profile measurement of the blade.     

基于分支设置的质量导引相位展开算法

二维相位展开方法是近年来较为活跃、引起关注的一个研究课题,它在许多测量应用中有着重要的作用。尽管掩膜阻断算法在多个领域都有成功应用实例,该算法存在着固有的缺陷。为了克服掩膜阻断算法的缺陷,综合分支阻断方法和质量导引方法的优点,提出一种基于分支设置的质量导引相位展开新算法。它先以一个初始质量图来引导分支的设置,然后把分支对应的相位质量设置为最低,从而产生一个新的质量图,最后按新质量图来引导相位展开,并使用几个包裹相位图来验证此方法的有效性。计算机模拟相位图和实际相位图的相位展开结果表明,在存在复杂轮廓不连续和高噪声的情况下,该算法优于模板阻断算法,能得到较好的相位展开结果。     

A fast,accurate phase unwrapping method for wavelet-transform profilometry

A novel phase unwrapping method used in wavelet-transform profilometry is presented to improve the accuracy and speed of the unwrapping process. The wrapped phase of the fringe image is extracted by using wavelet transform. How to establish quality map using scale factor at wavelet ridge is discussed firstly. The proposed method can reflect the reliability of the pixels in fringe image effectively. As the consuming time of traditional flood-fill phase unwrapping algorithm is too long, an improved quality-guided method is used in phase unwrapping process. We divide the wrapped phase map into two levels following the established quality map, and process these two levels using different algorithms. Compared with the traditional flood-fill algorithm, we can get the accurate result while the consuming time of the phase unwrapping process is much less by using the proposed method. Simulation and experiment results verify that the 3D information of the measured object can be obtained rapidly and accurately by using the proposed method. Also the dynamic object can be measured too.     

Fringe contrast-based 3D profilometry using fringe projection

Quality-guided algorithm is a widely used method in phase unwrapping. This paper shows an accurate quality map based on fringe contrast for 3D shape measurement. Phase-shifted fringe patterns are projected onto an object surface by a programmable liquid crystal projector and recorded by a CCD camera. A wrapped phase map and a fringe contrast map are extracted from the deformed fringe patterns by the phase-shifting technique. Guided by the contrast map, the quality-guided unwrapping algorithm minimizes unwanted shadow and non-uniform surface reflectance effects and is able to retrieve a correct surface profile. Validity of the proposed method is tested on a fish model and a cutting tool specimen.     

Computer aided evaluation of fringe patterns

The crucial step in computer aided evaluation of interferometric fringe patterns is the determination of the interference phase distribution from the recorded and stored intensity pattern. Methods for determination of the interference phase distributions from fringe patterns are presented and the most important methods, which are skeletonising, temporary heterodyning, phase shifting and Fourier transform evaluation are compared with regard to experimental requirements, achievable resolution and precision, as well as inherent noise suppression and image enhancement. The comparison shows that whenever phase shifting is possible, it is the best choice. If only one interference pattern is offered, Fourier transform evaluation is recommendable. For demodulation of the wrapped phase a path-independent algorithm is presented. Practical examples are given from holographic interferometric measurements.     

Single fringe projection profilometry based on sinusoidal intensity normalization and subpixel fitting

A novel fringe projection profilometry using a single sinusoidal fringe pattern projected is proposed. Computer-generated sinusoidal fringe and uniform intensity patterns are firstly projected on a testing object by a liquid crystal display projector. The variable reflection intensity of a fringe pattern is then roughly normalized by division operation applied to the grabbed fringe and uniform intensity patterns projected. Fringe intensity is further normalized by employing an interpolation algorithm. The deformed sinusoidal pattern encoding object shape is converted to a wrapped phase map without using phase-shifting or Fourier transform. Computer simulation and experimental performance are evaluated to demonstrate the validity of the proposed method. The experimental results compared with those of the four-step phase-shifting and fast Fourier transform methods are also presented.