Firstly , the paper introduces the development and application of computer graphics & image technique , discusses the principle and method of cg and digital image processing , such as matrix of the graphic transformation , homogeneous reference frame , sampling and quantization of the image , file format of the image , template operation , etc . secondly the paper introduces the purpose and method of image enhancement processing , explains the each occasion of those methods such as threshold transformation , smoothing processing , sharpening processing , analyzes and contrasts the processing results of object image . thirdly , the paper introduces the method of mathematics morphologic , edge detection and thinning processing , attains character description of image and character dots of the contour . fourthly , the paper processes the coordinate transformation to character dots and basic splines fitting , imports correlative condition to devise meshing line and meshing track 本文首先介绍了计算机图形图像技术的发展与应用情况，对计算机图形学和数字图像处理的一些基本理论和方法如图形变换矩阵、齐次坐标系、图像采样和量化、图像文件格式、模板操作等内容进行了讨论：然后对图像增强处理的目的和方法进行了介绍，对诸如阀值变换、平滑处理、锐化处理等方法的应用场合进行了说明，并对实物图像的处理结果进行了分析与比较；接下来介绍了数学形态学方法、对增强后的图像进行边缘检测的方法和图像的特征描述方法，并获取轮廓的特征点：随后对获取的特征点进行坐标变换，并进行b样条曲线拟合，引入相关条件生成齿轮副的啮合线及啮合轨迹：最后引入等值线和区域填充表示方法，并以等值线和区域填充的形式对弧齿锥齿轮啮合仿真的载荷分布情况进行了直观的表示。
In the paper , we describe the whole configuration of the joint transform correlator ; introduce the correlative theories of joint fourier transform in detail ; in order to achieve better correlation result , the nonlinear processing of joint transform power spectrum ( jtps ) is put forward , the effect of jtps laplace sharpening and binary processing to the correlation image is given ; the method of the best binary threshold is determined ; we analyse the correlation image , present the way that removes liquid crystal diffraction spot , direct current spot and image noise , and binarize the correlation image finally 本论文主要对提出的联合变换相关的整体结构进行了描述；详细介绍了联合傅里叶变换的相关理论；为了得到更好的相关结果，本文提出对联合功率谱进行非线性处理的方法，给出了联合变换功率谱的拉普拉斯锐化和谱的二值化处理对相关峰图像的影响及二值化最佳阈值的确定方法；对相关峰图像信息进行了分析；提出了消除液晶衍射光斑、直流光斑和图像噪声的方法；最后对相关峰图像进行了二值化处理。
The importan charateristics of wat902h camera and pci 500 camera and methods of capturing video are also included in this paper . imaging computer outside submarine can transfer data between control computer in the submarine by w2k ' s tednal service with highspeed . due to specific charaeristics of undersea optical imaging , underwater imaging processing technique fall into two categoriesfhardware and software , hardware are the design of the lenses used in waer and the choice of high - quality ccd caxner4the other is compllter digital irnage processing , that is mainly gray - level boformation and image sharpening . underwater image - processing software is designed on the basis of image processing on windows avi digital video file 由于水下光学成像的特殊性，水下图象处理技术应该包括硬件和软件两个方面，硬件即水下专用成像镜头的设计与高性能的ccd选择，后期图象处理软件是利用计算机数字图像处理技术提高水下拍摄图象的质量，处理方法主要有灰度变换和锐化处理；实现了对windowsavi数字视频文件文件的图像处理技术，并在此基础上完成了水下电视系统图像处理软件的设计。
As the fact that nanoparticles from orginal reaction solution have much wider size distribution with deviation larger than 15 % . size - selective precipitation was applied to sharpen the size distribution of those nanoparticles . a size series of qds with improved monodispersity can be achieved just from one sampling solution 3 .由于生长原液中纳米粒径分布的单分散度较差的现象,采用合成后尺寸选择性沉淀工艺对纳米颗粒尺寸分布进行锐化,能够从一个样品中选出尺寸大小分布,单分散性明显改善的纳米量子点。
In this thesis , we give a simple method for character extraction , and then standardize the character based on the center of gravity . at last , we use mathematical morphology principle to thin the character . the primary work of this thesis includes giving an adaptive segmentation algorithm , and using morphology principle and sharpening algorithm to solve the problems occurring in noise removing ; illustrating a simple method for character extraction ; demonstrating the difference between serial thinning method and parallel thinning method ; giving a algorithm based on unit circle projection and combining the texture feature for recognition 本文的主要工作包括:提出了一种自适应去噪的算法,并针对在去噪过程中出现的文字断笔现象运用形态学及锐化处理的方法进行修复及预防;给出了一种简单的文字分割的自动算法及手动方法;对比了串行细化和并行细化算法的不同;提出了一种基于单位圆投影的特征提取方法并结合纹理特征进行细分识别。
Moreover , it compares and analyzes the problems that exist in image processing , such as image filtering and noise reduction , image sharpening , image enhancement , image segmentation , feature pick - up and object recognition . by comparison and analysis , it establishes the basic method of calculation that will be adopted in the design and realization of the system 再次，对图象滤波除噪、图象锐化、图象增强、图象分割、特征提取与目标识别等图象处理过程中遇到的问题进行了分析比较，并在比较分析的基础上，确定了系统设计和实现中所要采用的基本算法。
