Conoscopic holograms analysis using variations of the Hough transform

The analysis of holograms obtained using a Conoscopic setup is a very complex subject, given their nature. Holograms contain the 3D depth information about an object whose surface is to be measured and later reconstructed. The recovery of depth information has so far been carried out using mathematical transforms in combination with linear regression techniques. Here the Hough transform, a useful Computer Vision technique for detecting features in images is adapted to the analysis of holograms in order to establish distance relationships for a given object. The captured images of holograms are pre‐processed and subsequently analyzed for characteristic patterns that are later used in finding the distance to an object. © 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 10–13, 2009     

Motion feature extraction for stepped frequency radar based on Hough transform

The high resolution range profile can be obtained through coherent pulse compression processing in every coherent processing interval (CPI) for stepped frequency radars (SFR). The radar observation time can be divided into multiple CPIs. By utilising the temporal information inherent to a sequence of these range profiles, a time-range image containing the target motion information can be synthesised. Through analyses of the point scatterer targets with the radial uniform motion, radial uniformly accelerated motion, rotation and vibration, this study indicates that there is a certain correlation between the target motion features and the time-range image features in the limited observation time. Based on this result, we propose a motion feature extraction method for SFR without any assistant information using the conventional and well-known feature extraction tool, Hough transform. The authors give detailed analyses and explanation of this method, and verify them by outfield experiments, demonstrate the motion feature extraction results using real radar data. The proposed method enables the motion feature extraction through space non-coherent integration, which fully utilises the radar data information under low signal-to-noise ratio conditions.     

基于HT的显微视觉亚像素定位算法

根据显微图像的几何特点,提出了基于HT（Hough Transform）十字显微图像亚像素定位算法（SLACHT）和基于HT近似圆显微图像亚像素定位算法（SLARHT）,对显微图像特征中的直线和近似圆的亚像素定位做了深入的研究。通过与经典直线HT定位算法和经典随机HT圆定位算法进行实验对比,验证了该定位算法的优越性;通过与Matlab中的直线HT定位算法和圆HT定位算法进行实验对比,验证了该算法的可靠性。大量实验表明,该算法的定位精度优于0．01像素,具有运行速度快、鲁棒性强的特点。     

Hough变换快速检测圆形PCB Mark

提出一种Hough变换检测圆形PCB(PrintedCircuitBoard,印刷电路板)Mark的方法。对检测图像进行阈值变换,并利用区域面积分割,将Mark区域和背景及噪声分离开来。计算Mark区域中心点,Hough变换圆心累加范围限制在这个中心点附近区域。依据Mark实际尺寸计算检测图像中Mark的半径,将累加器从三维降为二维。对检测图像进行Canny算子边缘检测后,采用先大间隔后小间隔的粗细累加策略,完成Hough变换检测。在全视觉贴片机SMT2505上应用表明,Mark中心检测误差和执行时间分别小于1个像素和50ms。继承了传统Hough变换检测精度高、抗噪能力强的优点,速度比传统Hough变换提高了2～3个数量级。     

Automatic localisation of electron backscattering pattern bands from Hough transform

Abstract

An important and challenging aspect of the development of a system for fully automated electron backscattering pattern (EBSP) analysis is the design of reliable digital image processing routines for automatic detection and localisation of the bands in the digitised patterns. Procedures based on the Hough transform which permit precise localisation of a large number of bands in digital EBSPs are described in detail. Special attention is paid to the analysis and post-processing of the Hough space which ensure a high insensitivity to noise and a high precision of the measured band positions. The possibilities for further improvements and extensions of the procedures are also discussed, including the possibility of extracting band width information from the Hough transform. To demonstrate these possibilities, a new procedure is outlined and shown to be capable of providing high precision estimates of the EBSP band positions and, in addition, fairly precise estimates of the band widths.

MST/3672     

Apparatus for automatic determination of viscosity of nontransparent liquids

Summary The described circuit provides a simplification and automatization of the process of viscosity measurement according to Stokes' method, with a considerably increased measurement accuracy. It can be recommended for measurements of viscosity of a hundreth to several hundreths of a poise. For an investigation of the dependence of viscosity on temperature, the glass tube may be heated by any known method.     

Two-dimensional continuous wavelet transform for phase determination of complex interferograms

A robust two-dimensional continuous wavelet transform (2D-CWT) technique for interferogram analysis is presented. To cope with the phase determination ambiguity issue encountered in the analysis of complex interferograms, a phase determination rule is proposed according to the phase distribution continuity, and a frequency-guided scheme is employed to obtain the correct phase distribution following a conventional 2D-CWT analysis. The theories are given in details, and the validity of the proposed technique is verified by computer simulation and real experiments.     

A dual adaptive procedure for the automatic determination of iteration parameters for Chebyshev acceleration

Chebyshev acceleration for a symmetrizable basic iterative method u⁽ⁿ⁺¹⁾ = Gu⁽ⁿ⁾ + k; requires estimates of the extreme eigenvalues m(G) and M(G) of the iteration matrix G. Adaptive procedures are often used in order to obtain good estimates for m(G) and M(G). Some existing adaptive procedures are able to give an estimate of either m(G) or M(G) but not both on any given iteration. In this paper we present an adaptive procedure which can estimate both m(G) and M(G) at the same time and which has other useful properties. Numerical results are given which show the new procedure usually requires fewer iterations than previous procedures.     

Size determination of diesel soot particles using flow and sedimentation field-flow fractionation

The applicability of field-flow fractionation (FFF) was investigated for determination of size and size distribution of diesel soot particles. A sample preparation procedure was developed for FFF analysis where soot particles are recovered from filters in an ethanol bath sonicator, and then they are dispersed in water containing 0.05% Triton X-100 and 0.02% NaN(3). Mean diameters obtained from sedimentation FFF (SdFFF) and flow FFF (FlFFF) agree well with each other and are in good agreement with diameters obtained from photon correlation spectroscopy (PCS) and scanning electron microscopy. The relative error was less than 11%. Data show diesel soot particles have broad size distributions ranging from 0.05 up to ～0.5 μm with the mean diameters between 0.1 and 0.2 μm. The use of FlFFF is more convenient as FlFFF fractograms can be converted directly to size distributions, while the conversion of the SdFFF fractogram needs the particle density information. The density needed for SdFFF analysis was obtained by combining the SdFFF retention data with the PCS size data. For samples whose density is known, SdFFF may be more useful as SdFFF provides a wider dynamic range than FlFFF under constant field strength.     

改进的Hough变换在多传感器数据融合中的应用

提出了用一种改进的Ｈｏｕｇｈ变换来解决多传感器数据融合的问题，与多传感器数据融合中常用的统计或几何方法相比，该方法具有计算速度快、存储要求小和容易实施等优点，简要分析了该方法和数据融合的几何方法之间内在的联系。     

A new Fourier transform infrared method for the determination of moisture in edible oils

A rapid, practical, and accurate Fourier transform infrared (FT-IR) method for the determination of moisture content in edible oils has been developed based on the extraction of water from oil samples into dry acetonitrile. A calibration curve covering a moisture content range of 0-2000 ppm was developed by recording the mid-infrared (MIR) spectra of moisture standards, prepared by gravimetric addition of water to acetonitrile that had been dried over molecular sieves, in a 500 microm ZnSe transmission flow cell and ratioing these spectra against that of the dry acetonitrile. Water was measured in the resulting differential spectra using either the OH stretching (3629 cm(-1) or bending (1631 cm(-1)) bands to produce linear standard curves having standard deviations (SDs) of approximately +/-20 ppm. For moisture analysis in oils, the oil sample was mixed with dry acetonitrile in a 1:1 w/v ratio, and after centrifugation to separate the phases, the spectrum of the upper acetonitrile layer was collected and ratioed against the spectrum of the dry acetonitrile used for extraction. The method was validated by standard addition experiments with samples of various oil types, as well as with oil samples deliberately contaminated with alcohols, hydroperoxides, and free fatty acids to investigate possible interferences from minor constituents that may be present in oils and are potentially extractable into acetonitrile. The results of these experiments confirmed that the moisture content of edible oils can be assessed with high accuracy (on the order of +/-10 ppm) by this method, thus providing an alternative to the conventional, but problematic, Karl Fischer method and facilitating the routine analysis of edible oils for moisture content.     

激光多普勒测速仪标定系统不确定度研究的自动测量设计

文章讨论激光多普勒测速仪标定系统不确定度研究中的自动测量原理与实现方法 ,给出了实现自动测量的设计思想和程序框图 .实验表明该程序设计是有效的 ,它可极大地提高系统不确定度研究的效率     

Phase determination for a Fourier transform infrared spectrometer in emission mode

Beam-splitter emission strongly influences the spectra measured with a Fourier transform spectrometer (FTS) as it affects the entire phase behavior, in particular in emission spectroscopy. The various radiation contributions of the scene and the FTS itself have different phases in the complex spectrum. As a specific feature, the radiation of the beam splitter is rotated by approximately pi/2 relative to the scene effective radiation. By classical methods of phase correction, the radiation components of different phases are mixed in the complex plane, which may lead to serious errors in the calibrated spectra. For this reason, the nature of the FTS phase has been studied, and a statistical phase determination method has been developed. It allows us to determine the phase function of the scene by minimizing the correlation between the imaginary and the real parts of the complex spectrum and by reducing the variance of the imaginary part. Thus phase accuracies of 10 to 30 mrad can be achieved. In addition, the remaining error of the phase can be calculated for each individual spectrum. The total phase error and its effect on the spectra are discussed.     

Use of attenuated total reflectance Fourier transform infrared spectroscopy to monitor the development of lipid aggregate structures

Attenuated total reflectance Fourier transform infrared spectroscopy is used to monitor the adsorption of 100 nm 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) phospholipid vesicles to the surfaces of Ge, electrolessly deposited Au, and a well formed self-assembled monolayer of 1-octadecanethiol. The interaction of DPPC vesicles in solution with these different surfaces yields distinctly different surface structures: intact DPPC vesicles on Ge, a supported phospholipid bilayer on an electrolessly deposited Au surface, and a phospholipid monolayer onto the hydrophobic self-assembled monolayer. IR peak position, bandwidth, and intensity are used to confirm structure formation and quantitation of the amount of lipid that desorbs during film formation.     

Multivariate calibration standardization across instruments for the determination of glucose by Fourier transform near-infrared spectrometry

The transfer of multivariate calibration models is investigated between a primary (A) and two secondary Fourier transform near-infrared (near-IR) spectrometers (B, C). The application studied in this work is the use of bands in the near-IR combination region of 5000-4000 cm(-)(1) to determine physiological levels of glucose in a buffered aqueous matrix containing varying levels of alanine, ascorbate, lactate, triacetin, and urea. The three spectrometers are used to measure 80 samples produced through a randomized experimental design that minimizes correlations between the component concentrations and between the concentrations of glucose and water. Direct standardization (DS), piecewise direct standardization (PDS), and guided model reoptimization (GMR) are evaluated for use in transferring partial least-squares calibration models developed with the spectra of 64 samples from the primary instrument to the prediction of glucose concentrations in 16 prediction samples measured with each secondary spectrometer. The three algorithms are evaluated as a function of the number of standardization samples used in transferring the calibration models. Performance criteria for judging the success of the calibration transfer are established as the standard error of prediction (SEP) for internal calibration models built with the spectra of the 64 calibration samples collected with each secondary spectrometer. These SEP values are 1.51 and 1.14 mM for spectrometers B and C, respectively. When calibration standardization is applied, the GMR algorithm is observed to outperform DS and PDS. With spectrometer C, the calibration transfer is highly successful, producing an SEP value of 1.07 mM. However, an SEP of 2.96 mM indicates unsuccessful calibration standardization with spectrometer B. This failure is attributed to differences in the variance structure of the spectra collected with spectrometers A and B. Diagnostic procedures are presented for use with the GMR algorithm that forecasts the successful calibration transfer with spectrometer C and the unsatisfactory results with spectrometer B.     

Quantitative determination of the components in overlapping chromatographic peaks using wavelet transform

A novel application of the wavelet transform in retrieving the separate signals from overlapping chromatographic peaks and quantitative determination of the components in the overlapping chromatograms is described. The signals can be very easily separated by decomposing an overlapping chromatographic peak into localized contributions according to their frequency, and quantitative calculation can be done by studying the contributions of higher frequency. Overlapping peaks of two- and three-component mixtures were investigated by the method, and the results show excellent correlations between peak areas of the retrieved signals and the concentrations for all of the components.