利用复数核频域处理实现二值图像数学形态光学并行处理

报道了用光学频域滤波方法实现二值输入图像与复值核结构元之间的并行数学形态学操作。     

一种新的基于模糊推理的灰值形态学和它的光学实现

我们在文中把模糊集合理论引入到数学形态学里,提出了模糊推理形态学,导出它的基本算子和一些代数性质.对于相同的灰值图象和结构元,用该算子处理的图象较常规形态学的结果更光滑并合更多的细节.给出采用面积编码和取阈技术为基础的光学实现.最后,分析比较了模糊推理形态学与常规形态学的两种结果数据.     

逻辑列阵实现的数学形态学双值像处理器

从逻辑操作的角度出发，研究了用逻辑列阵来实现数学形态学像操作的可能性，并给出了几种基本的数学形态学像操作的布尔逻辑的简化表达式，在模拟的实验装置上，完成了形态学像操作的实验，由于无需光学循环，因此，它的结构简单而且易于实现。     

一种新颖的基于截集分解的形态学算子

数学形态学算子在机器视觉应用领域中 ,如目标识别、图像分割及缺陷探测中越来越引起人们的重视。二值形态学基本操作膨胀与腐蚀也已经扩展到灰值图像处理中。目前已存在有几种不同的灰值形态学算子的定义 ,但对于结构元为灰值图的灰值图像处理 ,还未有一种具有实时处理结构的形态学算子。文中给出了这样的一种灰值形态学算子的定义。为了进一步增强这种算子的处理能力 ,在模糊集构成的完备格框架下完成了这种算子的构造过程。     

旋转不变二值化联合变换相关识别方法

介绍一种基于二值化联合变换相关的综合鉴别函数算法，用等相关峰及Gram-schmidt展开获得的综合鉴别函数对迭代算法进一步优化，获得了适用于二值化联合变换相关的综合鉴别函数。采用这种算法制作的综合鉴别滤波器既有相关峰值高和相关峰尖锐等特点,又能识别旋转图像。计算机模拟结果表明：这种相关器在信噪比、光能效率、相关峰尖锐度和鉴别能力上都有一定程度地提高，实现了较高鉴别率旋转不变光学模式识别。     

复杂光照下QR码图像二值化算法研究及应用

在复杂光照条件下二维码扫码器采集到的图像容易出现整体高亮、阴影区域和局部高亮、阴影区域,使得图像分割阈值确定困难,研究了Sauvola算法中的窗口大小w值和修正因子k值对于QR码图像二值化的影响。针对全局二值化方法抗噪能力差和局部二值化方法处理速度慢的缺陷,提出了一种改进的QR码图像二值化方法,将Otsu和Sauvola算法相结合提升算法抗噪能力,并利用积分图算法提高算法运行效率。实验证明,该方法二值化效果优于经典的二值化方法,平均运行效率比原Sauvola算法提高17倍,提升了识别成功率。     

光学多目标识别的新方案

介绍一种数学形态学的击中与否（Ｈｉｔ－ｏｒ－Ｍｉｓｓ）算法，能快速准确实现光学多目标识别的新方案，避免了普通光学相关目标识别方法中经常出现的错误信号，因此，其目标识别结果更为有效可靠。     

基于噪声追踪的二值时频掩蔽到浮值掩蔽的泛化算法

虽然浮值掩蔽比二值掩蔽有更好的语音分离效果,但是由于理想浮值掩蔽难以直接估计,现有的语音分离系统通常以理想二值掩蔽估计作为计算目标。我们提出了一个二值掩蔽到浮值掩蔽的泛化算法。由于实现浮值掩蔽估计的关键在于噪声能量追踪,我们首先采用指数分布刻画以混合谱和噪声能量以混合能量及二值掩蔽为观测的条件分布。其次,采用高斯马尔柯夫条件随机场刻画噪声估计在连续几帧内的关联。最后,采用马尔柯夫链-蒙特卡洛计算噪声能量最小均方误差估计并进一步计算浮值掩蔽。实验表明,相比于基于二值掩蔽估计的常规算法,我们所提出的算法在信噪比增益和客观感知质量两方面都有显著提高。      

灰度人脸识别形态学相关的一般理论研究

提出一般形态学相关概念，并提出一种小型联合变换相关器的硬件设计以实现一般形态学相关.提出两种改进的一般形态学相关算法，灰度图像按某种分解方法分解成一系列二值图像片.在第一种算法中，每片二值联合图像片的边缘被检测，其功率谱求和.在第二种算法中，一种情况是每片的联合变换功率谱被二值化或细化再求和；另一种情况是这些片的联合变换功率谱的总和被二值化或细化.计算机模拟结果表明，改进后的算法能改善高相似度灰度人脸图像识别的鉴别率.     

基于能量最小的统计三级截值模型

从能量函数出发，用统计学方法建立了统计三级截值模型，克服了用光学技术实现Ｈｏｐｆｉｅｌｄ模型时难以表示其高动态范围互连权重的弱点。与光学中通常采用的模型相比，统计三级截值模型提高了网络的存储容量和寻址能力。     

A Optical Scheme for Parallelly Realizing the Morphological Erosion of 1－D Gray Images

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A new approach for realizing the optical morphological dilation of 1－D gray images

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Optical greyscale morphological transformations

Greyscale morphology is more efficient and useful for processing greyscale image. It is the extension of binary morphology by use of a min or max operations. Optics is suitable for the implementation of morphological transformations because of its parallelism. However, greyscale morphology with both greyscale images and greyscale structuring elements is difficult to realize threshold decomposition since it does not commute with threshold. We propose a correlation approach for greyscale morphological transformations using area-coding technique to represent the umbra of surfaces of both greyscale image and greyscale structuring element. A primary experiment of greyscale dilation is presented.     

基于QR码和算术编码的图像加密无损恢复方法

将QR码作为数据容器引入光学图像加密系统，可以移除光学系统在解密图像时产生的散斑噪声，使得解密图像无损恢复，是一种非常理想和实用的去除噪声的方法。但由于QR码的存储容量有限，只能存储一些字母和简短的句子或者一幅尺寸很小（32×32像素）的灰度图像，严重制约了该技术的进一步应用。为了将一幅更大的灰度图像存入到QR码中，提出一种基于算术编码的图像无损压缩方法。首先将灰度图像以文件的形式读取为二进制数据，然后转换成十进制数据并利用算术编码的方法压缩为二进制数据，最后再转换成十进制数据。实验结果表明，此方法具有较高的压缩效率，能够成功将一幅64×64像素的具有丰富灰度值的图像存入到一张31版QR码中进行加密和解密。     

基于相位恢复算法的单强度记录光学加密系统

在传统的双随机相位光学加密系统的基础上,提出一种新的单强度记录光学加密技术。在加密时,将原始图像置于4-f系统的输入平面上进行双随机相位光学加密,利用CCD等感光器件记录输出平面上的光强分布作为密文,该光学加密过程只需一次曝光,在解密时,利用相位恢复算法进行迭代计算就可以由密文恢复原始图像。由于解密过程采用数字方式,因此可以在解密过程中引入各种数字图像处理技术来抑制散斑噪声,进一步改善解密图像质量。通过一系列仿真实验,证明该光学加密系统可以实现对二值图像和灰度图像的光学加密,并且能够很好地抵御已知明文攻击、选择明文攻击等方法的攻击。理论分析和计算机仿真表明,该光学加密技术系统结构简单,实现方便,并且不易受到各种攻击,安全性较高。     

Optimum adaptive array stochastic resonance in noisy grayscale image restoration

Considering the widespread noise interference in the two-dimensional (2D) image transmission processing, we proposed an optimal adaptive bistable array stochastic resonance (SR)-based grayscale image restoration enhancement method under low peak signal-to-noise ratio (PSNR) environments. In this method, the Hilbert scanning is adopted to reduce the dimension of the original grayscale image. The 2D image signal is converted into a one-dimensional (1D) binary pulse amplitude modulation (BPAM) signal. Meanwhile, we use the adaptive bistable array SR module to enhance the 1D low SNR BPAM signal. In order to obtain the restored image, we transform the enhanced BPAM signal into a 2D grayscale image signal. Simulation results show that the proposed method significantly outperforms the classical image restoration methods (i.e., mean filter, Wiener filter and median filter) both on the grayscale level and the PSNR of the restored image, particularly in a low PSNR scenario. Larger array size brings better image restoration effect.     

A novel algorithm for automatic localization of human eyes

Based on geometrical facial features and image segmentation, we present a novel algorithm for automatic localization of human eyes in grayscale or color still images with complex background. Firstly, a determination criterion of eye location is established by the prior knowledge of geometrical facial features. Secondly, a range of threshold values that would separate eye blocks from others in a segmented face image (i.e., a binary image) are estimated. Thirdly, with the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. To avoid the background interference, skin color segmentation can be applied in order to enhance the accuracy of eye detection. The experimental results demonstrate the high efficiency of the algorithm and correct     

Distortion Invariant Binary Image Recognition Based on Central Projection Correlation

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Enhanced Optical Image Verification Based on Joint Transform Correlator Adopting Fourier Hologram

In this paper two new architectures for optical image verification are proposed. Both architectures are based on conventional joint transform correlators (JTCs) adopting a Fourier hologram and can significantly improve the recovered image quality. First, an input phase-only function is Fourier transformed and then interferes with a reference wave that is diffracted from a plane wave incident on another random phase mask. Second, two phase-only functions are placed at the two input sides of a beamsplitter such that the interference pattern of their Fourier transforms can be detected. To obtain a predefined target image in the output plane, one of the input phase functions is iteratively retrieved by the use of the projection onto constraint sets algorithm. Simulation results show that the less mean squared error and better image quality are obtained for both the binary and grayscale images.     

Two-dimensional novel optical lattices with multi-well traps for cold atoms or molecules

We propose some new schemes to constitute two-dimensional (2D) array of multi-well optical dipole traps for cold atoms (or molecules) by using an optical system consisting of a binary π-phase grating and a 2D array of rectangle microlens. We calculate the intensity distribution of each optical well in 2D array of multi-well traps and its geometric parameters and so on. The proposed 2D array of multi-well traps can be used to form novel 2D optical lattices with cold atoms (or molecules), and form various novel optical crystals with cold atoms (or molecules), or to perform quantum computing and quantum information processing on an atom chip, even to realize an array of all-optical multi-well atomic (or molecular) BoseEinstein condensates (BECs) on an all-optical integrated atom (or molecule) chip.