The approach estimates histogram of original image through input image to get a membership that contains information of original image through this histogram , then a weighted fuzzy mean filter is established by this membership 该方法通过输入图像估计出原图像的直方图，并从该直方图得到一个包含原图像信息的模糊隶属度函数，以此隶属度函数构建一个模糊加权平均滤波器。
It adopts monocular ccd vidicon as input device , and processes the input image by computer , then gains the lane width of the location of the front vehicle on this lane , finally calculates the distance according to the model on distance between two vehicles 它采用单目ccd摄像机作为输入设备，用计算机对输入图像进行处理，从而得到本车道前车处的车道标线宽度，并进一步根据车距测量模型计算出两车之间的实际距离。
Spatial binary nonlinear correlator ( sbnc ) , here we discuss , isa kind of nonlinear optical pattern recognition systems with excellent performance . in sbnc , input and reference images are firstly decomposed into a set of binary greyslices 本论文所要研究的空域二值化非线性相关器( spatialbinarynonlinearcorrelator ,简称sbnc )就是一类性能出色的非线性光学模式识别系统。在sbnc中,输入图像和参考图像首先被分解为一系列的二值灰度图片。
First of all , we select a referrence point pair of the input image and the template image . and then we transform the minutiae positions into polar coordinates . finally , we match the input image with the template one to judge whether these two images are captured from the same finger 首先，找到输入图像和模板图像的参照点对，然后将两幅图像中的细节特征点相对于各自的参照点转化为极坐标形式，最后进行比对，确定两幅图像是否来自于同一手指。
According to one of voxel coloring algorithm ' s shortcomings this thesis brings forward an improvement method , with reference to the theory of shape from silhouette . this improvement method looks on every input image as a validate of the reconstruct results , improving the result accuracy and saving the computing time 针对原有算法的理论缺陷，借鉴shapefromsilhouette算法的思想，提出了一种将每一幅输入图像作为一种“验证”的改进方法，极大的提高了体素上色算法的计算精度和运算速度。
First we construct a covariance matrix from sample images , then compute the eigenvalues and corresponding eigenvectors of the covariance matrix , construct a feature matrix with the eigenvectors . then every images in database can be projected into the feature matrix and gain a projection vector , so does the input image . then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors 我们首先根据采集的样本图像构造一个协方差矩阵，然后求取该矩阵的特征值，以这些矩阵特征值对应的特征向量构造出一个特征空间，然后将输入图像向该特征空间映射，将获取的映射系数与样本库中图像的映射系数进行距离计算，根据计算出的距离判定输入图像与样本图像间的匹配程度。
First we construct a covariance matrix from sample images , then compute the eigenvalues and corresponding eigenvectors of the covariance matrix , construct a feature matrix with the eigenvectors . then every image in database can be projected into the feature matrix and gain a projection vector , so does the input image . then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors 然后，根据采集的样本图像构造一个协方差矩阵，求取该矩阵的特征值，以这些矩阵特征值对应的特征向量构造一个特征空间，将输入图像向该特征空间映射，计算获取的映射系数与样本库中各类图像的映射系数的欧基里德距离，根据计算出的距离判定输入图像与样本图像间的匹配程度。
So , in this section , a double - passage 4f wavelet filtering optical system is put forward , combining with the visual computation theory . the dog wavelet function is selected in the filter system , and the output images are just the expected , hi this part , an optical - electrical mixed system model is also mentioned , which has the advantages both in optical processing and digital processing system , such as real - time > intelligence 因此，文章在这一部分提出了一个双通道4f小波滤波光学系统，并结合视觉计算理论，选择了适合的小波母函数? ? dog函数制成滤被模片，对输入图像进行了不同尺度下的信息提取，得到了期望的输出。
( 2 ) taking the nonlinear energy transfer property of the photorefractive two - beam coupling in the sbn : 61 crystal doped with 1000ppm cr and the knsbn crystal doped with 0 . 07wt % ce , edge - enhancement preprocessing can be achieved , which will results in the larger normalized intensity and narrower width of the correlation peaks . and the discrimination of the jtc is greatly improved ( 2 )利用sbn ： 61 ： cr晶体( 1000ppm )和knsbn ： ce晶体( 0 . 07wt )的二波耦合能量非线性转移特性，对联合变换相关器的输入图像进行边缘增强预处理，提高了相关峰的归一化强度，减小了相关峰的半宽度，从而大大提高了相关器的识别能力。
Researches focus on the identification technology of joint transform correlator after building the volume holographic storage system . it analyzes the relationship between position of related export signals and position of import images . and it gives the condition that related export signals separates from zero - level flare 在完成体全息存储系统的构建之后,开始针对联合变换相关识别技术进行研究,理论分析了相关输出信号方位同输入图像方位之间的关系,并给出了相关输出信号同零级光斑分离的条件,最后完成了联合变换相关识别系统的设计和构建。
