摘要
随着数字图像处理技术的发展,其在军事领域的运用越来越普遍。在军事应用中,图像处理和目标识别技术主要应用于导弹精确打击、无人机侦察、军事目标锁定、情报信息处理,对提高军事指挥控制系统作战性能有着重要作用。本文主要对图像识别方法进行研究,并完成军事敏感目标识别系统的分析设计与实现。系统首先对由军事侦察手段获得的数字图像进行灰度化、二值化、边缘检测处理,其次借助相关系数匹配法完成对坦克、战斗机、舰船、装甲车等几类敏感目标物的识别。此外还通过实验验证了系统目标识别的可行性,并对匹配过程中模板的筛选和匹配相似度参数设置进行了讨论。
With the development of digital image processing technology,its use in military fields is increasingly common.In military applications,image processing and target identification techniques are mainly used in missile precise strikes,drone reconnaissance,military target locking,intelligence information processing,and an important role in improving military command control systems.This paper mainly learns and studies the image identification method,and the analysis design and implementation of military sensitive target recognition system is completed.The system first performs grayscale,binarized,and edge detection processing by the digital image obtained by the military reconnaissance means,followed by the associated coefficient matching method to complete the identification of several types of sensitive targets such as tanks,fighters,ships,armored vehicles.In addition,the feasibility of the system's target identification is also verified,and the screening and matching similarity parameter settings of the template during the matching process are discussed.
作者
苏欣
Su Xin(General Affairs Office of Nanjing Gulou Hospital,Nanjing 210000)
出处
《现代计算机》
2021年第27期76-83,共8页
Modern Computer
关键词
图像识别
模板匹配
相关系数匹配
image identification
template match
related coefficient match
