黄金分割快速在线极性相关器的研究

黄金分割法是一种快速搜索函数极值的优化设计方法.研究了它在快速在线极性相关器中的应用,详细讨论了极性相关函数极值搜索的黄金分割设计方法.采用8031单片微机构成极性相关器,黄金分割法的应用,使得完成一次相关分析的时间缩短到1秒以内.     

Effects of threshold on single-target detection by using modified amplitude-modulated joint transform correlator

Effects of threshold value on detection performance of the modified amplitude-modulated joint transform correlator are quantitatively studied using computer simulation. Fingerprint and human face images are used as test scenes in the presence of noise and a contrast difference. Simulation results demonstrate that this correlator improves detection performance for both types of image used, but moreso for human face images. Optimal detection of low-contrast human face images obscured by strong noise can be obtained by selecting an appropriate threshold value.     

Implementation of an algorithm for detecting patterns in defocused scenes using binary joint transform correlation

An original method to detect images in defocused scenes by means of a binary joint transform correlation is presented. Defocused images are described in frequency domain as the product between the Fourier transform of the in-focus scene by the optical transfer function of the imaging lens. This function, which presents positive and negative values, introduces sign errors in the joint power spectrum. The goal of this study is to detect the sign of the optical transfer function starting from the defocused image by means of a digital algorithm. Information provided by the algorithm allows to compensate the sign errors in the binary joint power spectrum and to obtain invariant correlations with respect to defocusing. Theoretical analysis and digital experiments to test the procedure are provided.     

Contrast-improved joint transform correlator using spatial light modulators

When real time optical pattern recognition is carried out by means of spatial light modulators, a practical situation may arise in which the size of the Fourier transform and the intensity of the light source are fixed. Then, provided the input scene and the size of the spatial light modulator allow it, an interesting possibility for improving the overall intensity in the Fourier plane is the replication of the scene, either along a regular lattice structure or a random replication. In this work we analyse the usefulness of these methods, both to obtain diffraction images or cross-correlation between images in a joint transform correlator.     

Optical Correlator and Photorefractive Two－wave Mixing Based Neural Recongnition

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Wavelet-modified fringe-adjusted joint transform correlator

In this paper, we implement a wavelet-modified fringe-adjusted joint transform correlator (JTC) for real-time target recognition applications. In real-time situation the input scene is captured using a charge-coupled device (CCD) camera. The obtained joint power spectrum is multiplied by a pre-synthesized fringe-adjusted filter and the resultant function is processed with an appropriately scaled wavelet filter. Three performance measure parameters: correlation peak intensity, peak-to-sidelobe ratio, and signal-to-clutter ratio have been calculated for fringe-adjusted joint transform correlator (FJTC) and wavelet-modified fringe-adjusted joint transform correlator (WFJTC). The WFJTC has been found to yield better results in comparison to conventional FJTC. To suppress the undesired strong dc, the resultant function is differentiated. Differential processing wavelet-modified fringe-adjusted joint power spectrum removes the zero-order spectra and hence improves the detection efficiency. To focus the correlation terms in different planes in order to capture one of the desired autocorrelation peaks and discard the strong dc and another autocorrelation peak, chirp-encoding technique has also been applied. Targets with Gaussian and speckle noise have also been used to check the correlation outputs. Computer simulation and experimental results are presented.     

用联合变换相关器实现灰阶图像绝对差度量光学匹配

将绝对差度量（ＡＤＭ）引入联合变换相关器（ＪＴＣ）,实现了灰阶图像光学匹配的计算机模拟实验,利用循环编码方法,通过联合变换相关器一步绝对差度量,相关后的图像通过取高阈值的分割方法来实现对目标的准确判断,针对高斯噪声干扰情况,分析了阈值选择问题,提高了灰阶目标识别抵抗器材怕畸变干扰的能力。     

Measurement of vibration with Young's fringe modulated speckle patterns in a photorefractive correlator

A technique has been proposed to analyze small in-plane component of vibrations by measuring the fringe shift, and analysing the correlation output of captured vibrating Young's fringes with a photorefractive correlator. Fringes are formed due to interference between the reconstructed speckled beam recorded for stationary object beam, and vibrated speckled beam transmitting through a BaTiO₃ crystal after introducing a small shift in the diffuser position. The correlation peak intensity is affected due to mismatch of vibrations between two piezo-mirrors in the object beam. High correlation output gives an indication of the frequency matching of known reference and unknown vibrations, thus giving information on the frequency of vibration. Vibration amplitudes of the order of a wavelength of light have been measured by counting the number of fringes passing past a line in the observation plane.     

光学图像识别相关器的MATLAB仿真

利用MATLAB提供的图像处理函数来模拟光学图像识别相关器对图像的识别,得到较好的仿真结果。     

基于光学联合变换相关器的像移探测技术

针对稳像中运动矢量的求取,提出了一种基于光学联合变换相关器的像移探测技术.给出了基于光学联合变换相关器的像移探测原理,并给出了仿真结果.为了验证联合变换相关器的探测准确度,进行了实验验证,验证结果表明探测最大误差为0.8个像素.结果表明,光学联合变换相关器能够很好地探测出运动矢量,进而完成图像稳定工作.相比单纯的软件算法求取运动矢量,基于光学联合变换相关器的像移探测技术能够更快更好地达到目的.