一种检测红外点目标的方法

提出了一种用二次阈值检测红外点目标的方法，该方法对于提高红外警戒系统的探测率和控制虚警率具有较好的效果     

基于VME总线的红外图像预处理技术研究

VME总线(Versa Module Europe Bus)是一种高性能的背板总线,具有高可靠性、强大的数据吞吐能力、易扩展性和抗干扰能力强等一系列优点.80年代中期以来,基于VME背板总线的计算机系统先后得到了世界上300多家厂商的支持,开发出了大量的VME系统软件、CPU模块和I/O模块,使得VME系统成为开放性最好的高性能计算机平台.在国防、科研和工业领域中,VME总线系统被广泛用于过程控制、数据采集、图像处理和实时仿真.     

红外全方位警戒系统

红外全方位警戒系统是现代光电对抗战中一种先进装备。本文介绍了国外该项技术的发展和装备情况,论述了研制该装备的两大技术关键,并提出了我国发展该项技术需重点考虑的几项问题。     

Morphological neural networks for automatic target detection by simulated annealing learning algorithm

Automatic detection of an image target is of great significance in modern world. Because of the highly nonlinear nature of the vision process[1], applying nonlinear information processing technique becomes a new trend in image processing field. As an effective nonlinear theory for image processing[25], mathematical morphology has a set of integrated concepts, methods and algorithms to describe the basic characteristics of an image, namely the geometry and structure relation between the pixel s…     

面阵焦平面探测器扫描图像模糊的退化模型及复原

提出并验证面临探测器扫描图像退化模型的点扩展函数,并运用该点扩展函数对扫描模糊图像进行复原。     

红外成像目标跟踪的MHT改进算法及其DSP硬件实现

探讨了改进的MHT(多假设跟踪)算法及其在红外成像跟踪系统中的应用。根据红外目标及背景的特点，对红外图像数据进行自适应的空间滤波预处理后，运用改进的MHT算法实施目标识别和航迹跟踪处理。并利用4片TMS320C6000系列DSP组成流水线处理结构，实现了该算法的硬件并行处理，取得了良好的实用效果。     

SAA7111在图像多媒体中的应用

概述了ＳＡＡ７１１１视频输入处理芯片的主要特点,描述其内部的主要结构及关键功能,提供了一个典型的开发系统,并给出其在彩色图像多媒体中一个成功应用实例。     

可编程视频输入处理芯片SAA7111及其在图象多媒体中的应用

概述了视频输入处理芯片SAA7111的主要特点,描述了其内部的主要结构及关键功能,提供了一个典型的开发系统,并给出其在彩色图象多媒体中一个成功应用的实例。     

新一代多媒体DSP——TMS320C80

简述了ＴＭＳ３２０Ｃ８０的推出背景及特点，介绍了其主要结构及开发方法，提出了几种应用开发模式，并给出了基于Ｃ８０的红外目标图像识别跟踪系统的构成。     

Automatic target detection by optimal morphological filters

It is widely accepted that the design of morphological filters,which are optimal in some sense,is a difficult task.In this paper a novel method for optimal learning of morphological filtering parameters(Genetic training algorithm for morphological filters,GTAMF)is presented.GTAMF adopts new crossover and mutation operators called the curved cylinder crossover and master-slave mutaition to achieve optimal filtering parameters in a global searching,Experimental results show that this method is practical,easy to extend,and markedly improves the performances of morphoological filters.The operation of a morphological filter can be divided into two basic problems including morphological operation and structuring element (SE)Selection.The rules for morphological operations are predefined so that the filter‘s properties depend merely on the selection of SE.By means of adaptive optimization training,structureing elements possess the shape and structural characteristics of image targets,and give specific information to SE.Morphological filters formed in this way become certainly intelligent and can provide good filtering results and robust adaptability to image targets with clutter background.