关于提高傅里叶变换轮廓术测量精度的研究

针对傅里叶变换轮廓术在实际测量中容易受到光学成像系统和计算方法的影响而使得测量结果不精确的现象,提出基于最小二乘法的条纹图像预处理技术,并讨论了滤波器的设计、相位展开的方法及系统标定模型对测量结果的影响。实验表明,改进后的方法其测量误差在2%以内。     

Discuss the measuring range of dual-frequency wavelet transform profilometry

We discuss the structure condition and sampling condition of wavelet transform profilometry (WTP) based on dual-frequency fringe pattern in this work. In the mentioned method a grating fringe with dual-frequency components is projected onto an object. And two wavelet ridge lines can be extracted by means of wavelet analysis, from which we can calculate two groups of wrapped phase information. Afterwards the retrieved phase with higher precision can be obtained through phase unwrapping process. However, it should be noted that the spectral aliasing of the deformed fringe pattern must be avoided in order to restore the correct phase information. And the two fringe carrier frequencies have to obey some rules as well. In this paper, the structure condition and sampling condition of the proposed method is deduced from the point of view of frequency analysis. It is proven that there would be no frequency overlapping in the deformed fringe pattern only when both of the two conditions mentioned previously are fulfilled. The results of computer simulations and experiments verify the validity of our theory.     

CCD抽样对傅里叶变换轮廓术的影响

从傅里叶变换轮廓术(FTP)原理入手,分析了傅里叶变换过程中频谱的产生,给出了CCD像元信号强度及其经抽样后的变形条纹的表达式,得出了变形条纹的傅里叶频谱式,其频谱是原连续函数的频谱在频域内的无限重复,即"频谱岛"。频谱中除了基频外,还产生了二级、三级等的高级频谱。给出了抽样条件及满足抽样条件的方法:当抽样频率与光栅基频的比值m>4时可以恢复物体的面形,反之不能;减小抽样间隔可以使m>4。给出了实验结果:当m=2.0883时,物体面形没有恢复;当m=16.6667时,物体面形得到了恢复。实验结果证明了理论分析的正确性。     

倾斜式测量系统的傅里叶变换轮廓术研究

在传统傅里叶变换轮廓术的研究基础上,本文提出了一种倾斜式测量系统的傅里叶变换轮廓术,该技术放宽了传统傅里叶变换轮廓术测量系统的三个约束条件:CCD成像系统的光轴不需要与参考平面垂直,即有一定的倾斜度;投射系统的出瞳和CCD成像系统的入瞳中心之间的连线不需要与参考平面平行;投射系统的光轴和CCD成像系统的光轴不在同一平面内,且不交于参考平面上一点. 并且通过严格的理论分析,推导出高度与相位之间的关系式,与传统傅里叶变换轮廓术相比较,在保证一定的测量精度的前提下,倾斜式测量系统具有更强的实用性和可操作性. 关键词： 傅里叶变换轮廓术 倾斜式 测量系统 相位     

Measurement of a discontinuous object based on a dual-frequency grating

The dual-frequency grating measurement theory is proposed in order to carry out the measurement of a discontinuous object. Firstly, the reason why frequency spectra are produced by low frequency gratings and high frequency gratings in the field of frequency is analysed, and the relationship between the wrapped-phase and the unwrapping-phase is discussed. Secondly, a method to combine the advantages of the two kinds of gratings is proposed: one stripe is produced in the mutation part of the object measured by a suitable low frequency grating designed by MATLAB, then the phase produced by the low frequency grating need not be unfolded. The integer series of stripes is produced by a high frequency grating designed by MATLAB based on the frequency ratio of the two kinds of gratings and the high frequency wrapped-phase, and the high frequency unwrapping-phase is then obtained. In order to verify the correctness of the theoretical analysis, a steep discontinuous object of 600×600 pixels and 10.00~mm in height is simulated and a discontinuous object of ladder shape which is 32.00~mm in height is used in experiment. Both the simulation and the experiment can restore the discontinuous object height accurately by using the dual-frequency grating measurement theory.     

A simple phase unwrapping approach based on filtering by windowed Fourier transform

Phase unwrapping is an interesting yet challenging problem in optical interferometry. In this paper, we limit our interest to unwrapping noisy phase maps as it is a common but difficult task. Our aim is to propose a simple solution to phase unwrapping. We first remove the noise by a novel windowed Fourier transform approach and then use sequential line scanning method for phase unwrapping. This simple approach is verified to be very effective.     

A simple phase unwrapping approach based on filtering by windowed Fourier transform: The phase near edges

A simple phase unwrapping approach based on windowed Fourier filtering (WFF) was proposed recently. In this paper, the effects of the WFF on edges are further investigated, which show that the phase near an edge remains unchanged and no special consideration is needed for the edges. This useful property will be theoretically proven and numerically verified.     

Eliminating the zero spectrum in Fourier transform profilometry using a two-dimensional continuous wavelet transform

In this paper, a filtering technique based upon two-dimensional continuous wavelet transform (2D-CWT) is used to eliminate the low frequency components of fringe patterns. The filtered fringe patterns are subsequently demodulated using a standard Fourier transform profilometry (FTP) algorithm. This image pre-filtering stage improves the noise performance of the FTP algorithm and enables the FTP method to demodulate fringe patterns with larger bandwidths. Also, the 2D-CWT technique reduces speckle noise significantly. Moreover, only a single fringe pattern is required in this technique. The 2D-CWT algorithm is capable of separating low frequency terms from the high frequency terms that contain phase-modulated fringe information, even when both interfere, greatly, in the frequency domain. The proposed algorithm is tested, both via computer simulation and using real fringe patterns. This revealed the robustness of this algorithm and also demonstrably enables the demodulation of a wider range of fringe patterns using the FTP technique.     

A simple phase unwrapping approach based on filtering by windowed Fourier transform: A note on the threshold selection

A simple phase unwrapping approach based on windowed Fourier filtering was proposed recently [K. Qian et al. A simple phase unwrapping approach based on filtering by windowed Fourier transform. Opt Laser Technol 2005;37:458–62]. The windowed Fourier filtering algorithm is an essential ingredient that suppresses the noise effectively and makes the phase unwrapping trivial. This paper adds a note on the threshold selection in the windowed Fourier filtering algorithm. A large interval can be selected as the threshold to obtain almost optimal filtering results. Once the selected threshold is suitable, it is almost optimal. This makes the threshold selection in the windowed Fourier filtering algorithm extremely easy.     

Profile measurement of a moving object using an improved projection grating phase-shifting profilometry

3-D profile measurement of a moving object using a novel phase-shifting technique is introduced. Digital gratings with two steps phase-shifting are projected periodically onto a measured object surface. The deformed fringe patterns are captured by a frame CCD camera within a short exposure time. By synchronizing the projector and the CCD camera accurately, there is an overlapping part which is the same part of the object among three neighbouring frames. The length of an overlapping part can be controlled as one third of a frame length. Hence the intensity values at the same surface point modulated by three neighbouring gratings can be obtained, and its phase value can be computed by an improved phase-extracting algorithm. The profile of a specimen is detected by the proposed method. Experimental results demonstrate that this method is effective for the profile measurement of a moving object.     

Analysis of a moderate resolution Fourier transform imaging spectrometer

A moderate resolution Fourier transform imaging spectrometer based on a modified Michelson interferometer is presented. The moving part of the interferometer is a moving wedged prism (MWP) instead of a moving mirror. The principle of the interferometer is described and the optical path difference as a function of the displacement of the MWP is calculated. Theoretical calculation and analysis are presented for the two moveable directions (hypotenuse and right angle side) of the MWP. The modified Michelson interferometer is not so sensitive to the non-uniform variation of moving speed and the environmental vibrations compared with the conventional Michelson interferometer. It is compact and has a large numerical aperture. The interferometer facilitated by CCD camera and the accompanying digital hardware and software are becoming the imaging spectrometer with moderate resolution is applicable in ultraviolet-infrared region.     

基于动平台多源数据的运动目标测量方法研究

根据运动目标性能试验需求及试验平台的特点,建立一个影像数据测量系统,实现目标的运动视频记录和外部参数测量。采用基于OpenCV的棋盘格内参数标定结合基于平台上固定标识点、线为基准的外场标定的摄像机标定方法,采用高速影像数据、中线视频数据和GPS数据相结合的方法实现目标运动的轨迹、姿态等参数的测量。通过测量精度分析及多次试验结果证明,测量精度达到水平方向优于10 cm,高程方向优于5 cm,姿态精度优于05。     

Automatic refractive index profiling of fibers by phase analysis method using Fourier transform

Automatic fringe pattern analysis is a powerful and inexpensive digital image-processing technique. It is used to analyze the fringe pattern obtained by different optical techniques, such as multiple-beam Fizeau fringes. To perform accurate and fast automatic measurement of fiber refractive index profile, phase analysis method has been used with the Fourier transform technique. In this paper, the refractive index profiles of polyethylene fibers with different draw ratios are presented by two methods, fringe shift method and phase analysis method. A comparison between the results obtained is presented.     

Measurement of sound intensity using a single moving microphone

A method for measuring sound intensity by using a single moving microphone is proposed. Experiments that confirm the validity of this method are reported and the advantages and disadvantages of the method are discussed.     

A combined approach of Kullback–Leibler divergence and background subtraction for moving object detection in thermal video

In this work, a robust method for moving object detection in thermal video frames has been proposed by including Kullback–Leibler divergence (KLD) based threshold and background subtraction (BGS) technique. A trimmed-mean based background model has been developed that is capable enough to reduce noise or dynamic component of the background. This work assumed that each pixel has normally distributed. The KLD has computed between background pixel and a current pixel with the help of Gaussian mixture model. The proposed threshold is useful enough to classify the state of each pixel. The post-processing step uses morphological tool for edge linking, and then the flood-fill algorithm has applied for hole-filling, and finally the silhouette of targeted object has generated. The proposed methods run faster and have validated over various real-time based problematic thermal video sequences. In the experimental results, the average value of F₁-score, area under the curve, the percentage of correct classification, Matthew’s correlation coefficient show higher values whereas total error and percentage of the wrong classification show minimum values. Moreover, the proposed-1 method achieved higher accuracy and execution speed with minimum false alarm rate that has been compared with proposed-2 as well as considered peer methods in the real-time thermal video.     

Parameter estimation of optical fringes with quadratic phase using the fractional Fourier transform

Optical fringes with a quadratic phase are often encountered in optical metrology. Parameter estimation of such fringes plays an important role in interferometric measurements. A novel method is proposed for accurate and direct parameter estimation using the fractional Fourier transform (FRFT), even in the presence of noise and obstacles. We take Newton׳s rings fringe patterns and electronic speckle pattern interferometry (ESPI) interferograms as classic examples of optical fringes that have a quadratic phase and present simulation and experimental results demonstrating the performance of the proposed method.     

A two-beam laser triangulation for measuring the position of a moving object

A two-beam laser triangulation method has been proposed to measure the position of a moving object. The method uses two parallel laser beams to judge the moving direction of an object, allowing us to track it and measure its positions. An uncertainty of 0.2 mm for a measurement range of 50 mm has been obtained. This tracking measurement capability is useful in the calibration of the position of a moving robot arm.     

傅里叶变换系统的光线矩阵分析方法

本文应用光线矩阵方法,分析一般的非对称系统,导出了该系统的傅里叶变换条件;考虑到定位误差,文中给出了计算夫琅和费和傅里叶变换有效区域和物理焦深区的公式;并得出了在不同波面入射光波的情况下,谱面移动量的计算公式,最后给出了二个应用实例。     

基于灰度信息的动场景视频序列中运动对象的提取

提出了一种基于视频序列灰度信息的运动对象提取方法。该方法采用改进的Sobel算子提取边缘图像,依据边缘信息将视频图像分割为不同的灰度连续区域。在各灰度连续区域中,选取特征点进行匹配获得特征点对。根据特征点对合并灰度连续区域,获得全局运动参数。采用具有自适应帧间隔的帧差交集法,获得图像中运动对象区域。结合灰度信息和运动信息,分割出运动对象。实验结果表明,该算法可以有效地将运动对象从视频序列中提取出来。