基于三值振幅-位相滤波器的红外景象匹配算法

针对传统的二元纯位相匹配滤波器进行光电混合景象匹配时存在信息丢失量大、识别困难的问题,提出了三值振幅-位相匹配滤波器算法.对红外景象匹配过程进行了计算机仿真实验,并与BPOF和ACMF匹配算法的相关结果进行对比.实验表明,三值振幅-位相匹配滤波算法提高了相关面的信噪比、相关峰锐度,增强了系统的抗噪声能力,进而有效地提高了景象匹配概率.     

基于TAPF算法的红外景象匹配特性研究

红外景象匹配是自动目标识别领域的一个重要方向,如何在复杂的天气条件下提高红外景象匹配概率是研究的难点.在研究不同天气条件下的红外成像和传统匹配滤波器性能的基础上,提出了三值振幅-位相匹配滤波算法（TAPF）,该算法结合了二值振幅信息与二值相位信息进行编码.对比灰度相关、二元纯位相匹配滤波和三值振幅-位相匹配滤波三种相关算法在不同天气下的结果,实验表明,提出的TAPF算法在相关面上的相关峰特性参数均优于其他两种算法,对恶劣的天气条件具有较强的适应性,是一种有效的红外景象匹配滤波算法.     

液晶光阀记录二元纯位相滤波器的实验研究

本文利用液晶光阀记录二元纯位相滤波器进行了实验研究,实验结果显示出液晶光阀记录二元纯位相滤波器具有高效率光学再现能力。同时还给出了制作二元纯位相滤波器的简单方法。     

灰阶纯位相匹配滤波器编码方法研究

根据空间光调制器的相位调制作用,提出了一种灰阶纯位相匹配滤波器编码方法.计算机仿真和光学实验结果均表明该方法在相关峰值、信噪比和峰相关能量比等方面比二元纯位相编码方法均有较大提高.另外还给出了相关峰的位置变化规律,有利于对目标的定位.     

基于二元纯位相匹配滤波的光电混合模式识别

提出一种优化二元纯位相滤波器,掏低频噪声,提高自相关峰信噪比的新方法,并用于基本电寻址铁电体液晶空间光调制器的匹配滤波可编程光学相关器,实现光电混合自动目标识别。     

计算全息制匹配滤波器的研究及性能分析

介绍了几种典型的计算全息匹配滤波器的制作原理,并且在此基础上提出了二元振幅 补偿型匹配滤波器,通过计算机模拟,比较了它们的匹配识别效果。研究表明,二元振幅补偿型匹配滤波器在相关峰高度及尘锐度、鉴别率、抑噪能力等方面都超过了其它几种匹配滤波器。     

畸变不变光电混合图像识别技术研究

介绍了用于自动目标识别的一种新型光电混合系统 ,并在传统的二值纯位相匹配滤波器的基础上提出了一种优化的匹配滤波器算法 .用光学 数字混合系统对该算法进行了畸变不变目标识别实验 ,计算机仿真及半实物实验证明该系统对一定的畸变范围具有检测识别目标的能力 .     

旋转不变匹配滤波相关识别的振幅补偿滤波优化算法研究

主要介绍了一种基于二元振幅补偿滤波的优化综合鉴别函数算法。这种算法制作的综合鉴别滤波器既有二元振幅补偿滤波相关峰值高、相关峰尖锐的特点,又降低了对输入图像的噪声敏感度,而且能识别旋转图像。计算机模拟结果表明,它在信噪比、Horner效率、相关峰尖锐度和鉴别能力等性能上都有一定提高。     

基于振幅调制纯相位滤波器和片状正交非线性广义相关的畸变不变识别

提出一种基于振幅调制纯相位滤波器(AMPOF)和片状正交非线性广义(SONG)相关的畸变不变光学相关目标识别算法.利用振幅调制纯相位滤波器区分能力强的优点,结合综合鉴别函数(SDF)方法.提出基于振幅调制纯相位滤波器的畸变不变识别算法,达到明显优于传统综合鉴别函数方法相关输出效果的目的.在此基础上引入SONG相关技术,利用其突出的区分能力和抗噪性能,结合这两种非线性滤波技术,得到能够很好地兼顾多项性能指标的畸变不变识别算法.仿真实验结果表明,算法既提高了相关峰输出质量和多目标区分能力,又具有很强的抵御噪声能力,在输入图像被噪声严重破坏的情况下,识别度仍然能够达到97%以上.和其他结合SONG相关的畸变不变识别算法相比,该算法目标识别性能更为优良,且更实用、广义.     

光学系统中振幅和位相的恢复问题

用算符-矩阵理论可描述光学系统的成象过程,提出了恢复振幅和位相的普遍方法。振幅和位相的恢复问题可分成三类:纯位相型的恢复问题,纯振幅型的恢复问题和位相-振幅混合型的恢复问题,三类问题可用统一的方法解决。经过严格的数学推导,给出了一组用以决定振幅和位相恢复的基本     

纯相位二值化匹配滤波器的优化设计

通过采用神经网络中的Clipping方法和MonteCarlo修改学习算法,对用于光学模式识别的纯相位二值化匹配滤波器进行了优化设计。计算机模拟结果表明,和传统的纯相位匹配滤波器的相关输出结果相比,其识别输出的信噪比和信号相关峰值得到了明显的提高,从而为今后的光学实现奠定了良好的基础。     

Enhancement of submicron optical lithography performance using phase-only pupil filters

We present a pupil filter design method based on iterative optimisation of the intensity point spread function (PSF) of a binary phase-only diffractive optical element, for use in a lens, diffractive element combination. Increase in the depth of focus and control over the sidelobe levels in the PSF is shown. The favourable performance is retained in simulated aerial images when the pupil filter is incorporated into a typical photolithography system.     

Optimum phase-only adaptive nulling

Optimum weighting of adaptive antenna arrays is accomplished by computing the weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR). The optimal weight vector is in general complex with each weight having different magnitudes and phases. However, the design of some antenna arrays facilitates phase-only weighting or phase-only adjustments, whereupon it is desirable to compute the constrained optimal weight vector whose components have fixed magnitudes but variable phases. This constrained optimization problem may be posed as the problem of maximizing the SINR on the space of phase-only vectors. This paper addresses the problem of computing optimal phase-only adaptive weight vectors by exploiting several properties of phasor and matrix algebra. Two new algorithms (the phase-only conjugate gradient and phase-only Newton's method) are introduced. The convergence properties. SINR performance, sidelobe level performance, and nulling performance of these algorithms are demonstrated using simulations and experimental data     

Textural feature based face recognition for single training images

A novel face recognition algorithm using single training face image is proposed. The algorithm is based on textural features extracted using the 2D log Gabor wavelet. These features are encoded into a binary pattern to form a face template which is used for matching. Experimental results show that on the colour FERET database the accuracy of the proposed algorithm is higher than the local feature analysis (LFA) and correlation filter (CF) based face recognition algorithms even when the number of training images is reduced to one. In comparison with recent single training image based face recognition algorithms, the proposed 2D log Gabor wavelet based algorithm shows an improvement of more than 3% in accuracy.     

投影光刻系统中的掩模硅片相关识别对准技术

分析图像相关识别中的纯相位匹配滤波器的模式识别方法,利用该滤波器的相关识别位图计算算法,及其所具有的相干峰尖锐特性与高度旋转敏感特性,分别求取得光刻套刻过程中,掩模板和硅片基板对准标记的相对平移坐标与旋转坐标的精密量化驱动值。将此算法的实施单元建立在一套成型的大面积投影光刻系统中,使得该系统的对位精度与对位效率显著地提高。     

A robust phase-only Direct Data Domain algorithm based on generalized rayleigh quotient optimization using hybrid Genetic Algorithm

A robust phase-only Direct Data Domain Least Squares （D3LS） algorithm based on generalized Rayleigh quotient optimization using hybrid Genetic Algorithm （GA） is presented in this letter. The optimization efficiency and computational speed are improved via the hybrid GA composed of standard GA and Nelder-Mead simplex algorithms. First, the objective function, with a form of generalized Rayleigh quotient, is derived via the standard D3LS algorithm. It is then taken as a fitness function and the unknown phases of all adaptive weights are taken as decision variables Then, the nonlinear optimization is performed via the hybrid GA to obtain the optimized solution of phase-only adaptive weights. As a phase-only adaptive algorithm, the proposed algorithm is simpler than conventional algorithms when it comes to hardware implementation. Moreover, it proc- esses only a single snapshot data as opposed to forming sample covariance matrix and operating matrix inversion. Simulation results show that the proposed algorithm has a good signal recovery and interferences nulling performance, which are superior to that of the phase-only D3LS algorithm based on standard GA.     

自然数编码遗传算法在图像相关匹配中的应用

引入遗传算法解决图像相关匹配的耗时问题,利用二进制编码和自然数编码分别设计相关匹配的遗传算法。实验表明在图像相关匹配应用中,自然数编码比二进制编码不仅实用,而且运算速度快。     

Study of the imaging property of a fluorescent confocal microscopy with a phase-only filter in an extended source

The phase information of an enlarged source is reconstructed with an annular two-zone phase-only filter in a fluorescent confocal scanning optical microscope for resolution improvement. The dependences of its resolution on the source size and on the phase transmission of the outer annular zone of the filter are investigated theoretically by use of its three-dimensional optical transfer function (3D OTF ). The increased source size and the required phase value of the outer annular zone of the phase-only filter for an optimal 3D OTF of the optical system are presented.