基于LabVIEW Vision的雨雾环境下景象匹配末制导图像处理技术  

Image processing techniques of scene matching guidance in rainy and foggy environment based on LabVIEW Vision

作　　者：王茜[1] 蔺佳哲 杨硕[2] 

机构地区：[1]空军勤务学院航空弹药系,江苏徐州221000 [2]中国人民解放军驻某军事代表室,河南洛阳471000

出　　处：《海军工程大学学报》2017年第5期77-81,共5页Journal of Naval University of Engineering

摘　　要：为了增强雨雾环境下景象匹配末制导的精度,利用LabVIEW Vision机器视觉技术,结合灰度直方图分析、单分量图像提取、灰度形态学变换、LUT查询表变换以及最大熵阈值分割的图像处理技术,将导弹摄像头拍摄的图像信息进行相关处理,得到了清晰的目标图像。试验表明:基于LabVIEW Vision的图像处理效果较好,满足雨雾环境下景象匹配末制导的精度要求。To improve the accuracy of scene matching guidance, missile camera images are processed into clear target images by means of machine vision technology and other image processing technolo-gies, such as gray histogram analysis, single component extraction, image gray-scale morphological transform, LUT transformation and the maximum entropy threshold segmentation. The tests show that through processing, the accuracy of scene matching guidance is greatly improved, and the cruise missile＇s adaptive capacity to bad environment and the missile＇s all-weather operation are improved.

关 键 词：景象匹配 LABVIEW Visiom灰度形态学变换 查询表变换 最大熵阈值分割 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]