液晶与显示2012，Vol.27Issue(5)：692-696,5.DOI:10.3788/YJYXS20122705.0692
基于复杂度和方向梯度的红外弱小目标检测方法
Detecting Algorithm of Infrared Small Dim Targets Based on Complexity and Orientation Gradient
摘要
Abstract
In order to solve the problem of detecting small dim targets in infrared images with the complicated air background, an improved algorithm based on image complexity and orientation gradient is put forward. The information entropy reflects the complexity of the image. The weighted information entropy with the variance and the change rate of local pixels suppresses both the inside and the edge of clouds. Since the image of the complexity is obtained, targets can be extracted by the means of multi-degree and multi-orientation gradient under the circumstance that the complexity of the background is higher than that of the targets. Experiments indicate that the algorithm can detect small dim targets effectively with complicated cloud background.关键词
图像处理/弱小目标检测/复杂度/加权信息熵/方向梯度Key words
image processing/ small dim targets detection/ complexity/ weighted information entropy/ orientation gradient分类
航空航天引用本文复制引用
王田,刘伟宁,孙海江,韩广良..基于复杂度和方向梯度的红外弱小目标检测方法[J].液晶与显示,2012,27(5):692-696,5.基金项目
国家自然科学基金(No.61172111) （No.61172111）
