基于图像处理的红外成像设备畸变检测方法

摘要

Infrared imaging equipment is the core component of IR guided missile seeker and UAV,and the work efficiency of missile and UAV can be determined by infrared imaging equipment.It is necessary to detect whether the infrared imaging equipment is normal or not,in order to avoid the fault with which IR guided missile seeker and UAV flying into the sky.So a method of image distortion detection based on im-age processing was proposed.The standard infrared imaging equipment for imaging was supposed as the standard image,and the digital image processing edge detection method was used to draw the area and per-imeter of the image,and the complexity parameter values of the image were calculated according to the area and perimeter.Then under the same test conditions,according to the idea of Romanowski criterion, normal devices to capture images as samples were used to the calculation and analysis of the area and per-imeter and the parameter values of the complexity of the images as samples.Test of infrared imaging system of evaluation parameters and evaluation criteria were derived.According to the evaluation parameters and evaluation criteria,the device being tested was judged whether there is a distortion.%红外制导导弹导引头、无人机光电载荷的核心部件是红外成像设备，红外成像设备能否正常工作决定了导弹和无人机的工作效能；为了避免红外导弹、无人机光电载荷带着故障上天，需要在这些装备上天之前检测红外成像设备是否工作正常，提出基于图像处理的图像畸变检测方法，作为判断红外成像设备工作正常与否的依据；以标准红外成像设备所成图像为标准图像，利用数字图像处理的边缘检测方法得出图像的面积和周长，根据面积和周长得出图像的复杂性参数值；在测试条件不变的情况下，根据罗曼诺夫斯基准则，利用正常设备捕获的图像作为样本，计算分析样本图像的面积和周长，求出图像复杂性参数值，得出红外成像系统测试的评价参数和评价准则，根据评价参数和评价准则判断被测试设备是否存在畸变。