液晶与显示2011，Vol.26Issue(2)：250-254,5.DOI:10.3788/YJYXS20112602.0250
机载可见光摄像机调光方法研究
Automatic Exposure Algorithm for Airborne Visible Light Camera
摘要
Abstract
The airborne visible light camera may face kinds of different senses when carrying out missions, so it needs an automatic exposure algorithm that can adapt to the changing environments.After researching on the present methods, a method based on gray-level mean value and partial information entropy is proposed.This method is divided into three steps.First, get an image which is clear enough to identify the main objects using the gray-level mean value method.Then, the ground staff chooses the interested area.In the end the airborne equipment gets an optimal image using the partial information entropy method.The results show that images obtained by this method have appropriate luminance and the object area is clearly displayed.It can meet the requirements of the airborne visible light camera.关键词
机载可见光相机/灰度平均值法/信息熵/目标区域Key words
airborne visible light camera/ gray-level mean value method/ information entropy/ target area分类
信息技术与安全科学引用本文复制引用
刘志国,刘晶红..机载可见光摄像机调光方法研究[J].液晶与显示,2011,26(2):250-254,5.基金项目
国家"973"基金资助项目(No.2009CB72400105) （No.2009CB72400105）
