Cylindrical panoramic project has such advantages as getting image easily , storing image data and accessing it conveniently and wide applicability . in this paper , cylindrical panoramic images was selected to project and a program called panoimgproj was deigned in order to realize cylinder projection of panoramic images 圆柱面全景图投影具有图像获取简单、图像数据存储和访问方便以及适应性广泛等优点，本文的设计中，选用圆柱面全景图投影，并编写程序panoimgproj ，以实现全景图柱面投影。
Real - time face detection and face tracking in complex background is a study field of biometric features identification technique , it includes image obtain , image pretreatment , face detection and face tracking etc . in this paper we first introduce some methods of image pretreatment , then introduce some face detection methods 复杂背景下实时人脸的检测与跟踪属于生物特征识别技术的研究领域，包括图像获取、图像预处理、人脸的检测定位、人脸的跟踪等几个方面。
To obtain digital image , the environment around robot is captured by optical lens and then digitized into a digital image ; then the digital image will be adjusted by using geometrical transform and image transform , which will be easier to be identified and processed , and some important characters will be abstracted ; finally the vision system find out the target based on the processed image 在数字图像获取部分，机器人周围的场景通过光学成像和数字化被转换成数字图像；在预处理阶段，系统通过几何变换、图像调整等对数字图像进行初步的调整，使之成为易于识别和处理的图像；在特征提取部分，系统对图像进行抽象化；在识别部分，系统对图像特征进行处理，进而在图像中找出需要识别的目标，确定其身份并进行定位。
As to the automatic & digital trend of photogrammetry development , the designed project of close - range photogrammetry machine is proposed , in this project , the automation degree in the process of image collection in close - range photogrammetry is improved with the use of computerized control technique and image process technique 针对摄影测量发展的自动化、数字化趋势，提出了近景摄影测量机的研制方案，运用计算机控制技术和图像处理技术，提高了近景摄影测量中图像获取过程的自动化程度。
This paper is consists of six parts . the first part introduces the development of computer vision and the application in intelligent transport system , compares the different methods about vehicle flow detection and moving target tracking . the second part lays emphases on the technology of reconstruction of background from sequential real - time image 本文实现了一个由图像获取、运动检测、形态滤波、连通域分析、运动跟踪等部分组成的车流检测和运动目标跟踪系统，并针对实现过程中遇到的问题及难点提出了相应的解决方法。
In this paper , two novel palmprint recognition methods are proposed in order to overcome the drawback of current algorithms . the whole design and implementation of palmprint recognition system including image acquisition , preprocessing , the basic idea and implementation of palmprint feature extraction and automatic palmprint classification and test are given 为了克服现有算法的不足,本文提出两种新的掌纹识别算法,并给出掌纹识别系统的总体设计和实现过程,包括图像获取和预处理,掌纹特征提取方法的基本思想和实现,以及掌纹的自动分类和测试。
In this module , we focus on an improved 2 - d median - filter and a real time edge detect algorithm which has very regular computational structure . in chapter 4 , we use fpga to capture the image data from infrared sensor and create the synchronization signal and output the video to monitor . chapter 5 describes the design of communication interface between dsp , fpga and missile control system , and focus on a new verilog description style called cycle accurate , and finally we design an i2c bus using this description style 本论文按照处理机的工作流程,首先讨论fpga与视频探测器之间的数据通讯模块的设计,接着介绍了图像预处理模块,在预处理模块中,重点介绍了一种改进的二维中值滤波方法和一种特别适于硬件实现的边缘检测算法;在第四章,讨论了用fpga实现图像获取和模拟视频输出;第五章,讨论了fpga与dsp之间以及fpga与弹上机之间的通讯模块的设计,接着重点研究了一种新的verilog语言的描述风格,并用此写法在上fpga实现对外围设备的初始化模块;最后,对本文所做的工作进行了总结。
