炮射高速运动目标图像预处理方法研究  

Research on Image Preprocessing Method of High-Speed Moving Targets of Artillery Firing

作　　者：曹志元 马春茂[1] 钞红晓[1] CAO Zhiyuan;MA Chunmao;CHAO Hongxiao(Northwest Institute of Mechanical&Electrical Engineering,Xianyang 712099,Shaanxi,China)

机构地区：[1]西北机电工程研究所,陕西咸阳712099

出　　处：《火炮发射与控制学报》2021年第1期19-23,共5页Journal of Gun Launch & Control

摘　　要：炮射武器装备在研制过程中,因测试时的复杂恶劣环境,导致基于高速摄像的运动目标动态参数获取技术获取的高速运动图像不够清晰,从而无法进行有效的数据获取。针对试验过程中存在的烟尘导致被摄目标被虚化、高速目标运动模糊和被摄目标过暗使细节无法观测这3种典型图像质量问题,分别采用暗通道去雾算法、基于盲反卷积的Lucy-Richardson算法和变换函数算法进行预处理,并对处理结果进行了客观评价和实验验证。结果表明,图像处理算法提高了图像辨析度并有效改善图像质量,提高了该测量技术在复杂环境下的适用性。During the development of the artillery weapon equipment,due to the complex and harsh environment during testing,the high-speed camera-based moving targets dynamic parameter acquisition technology sometimes acquires high-speed moving images that are not clear enough to get the effective data.Aiming at three typical image quality problems which include the blurring of the subject caused by smoke,the blurring caused by the high-speed target motion,and the blurring caused by the target being so dark that the details could not be observed,the dark-channel defogging algorithm,Lucy-Richar-dson algorithm based on blind inverse convolution and transform function algorithm are to be used for preprocessing.And the processing results are evaluated by objective evaluation methods and laboratory experiments.The results show that the image processing algorithm improves the image discrimination resolution and effectively improves image quality,and improves the applicability of the measurement technology in complex environments.

关 键 词：高动态参数测试 连续帧图像 图像处理算法 图像评价函数 

分 类 号：TJ306.1[兵器科学与技术—火炮、自动武器与弹药工程]