改进Sobel算子的单帧红外弱小目标检测  

Single Frame Infra-red(IR) Dim Small Target Detection Based on Improved Sobel Operator

作　　者：苗晓孔 王春平[1] 

机构地区：[1]军械工程学院电子与光学工程系,石家庄050003

出　　处：《光电工程》2016年第12期119-125,共7页Opto-Electronic Engineering

基　　金：武器装备军内科研项目(装司[2014]551号)

摘　　要：针对目前单帧红外弱小目标的检测算法存在检测精度不高,检测效果差等问题,本文提出一种改进Sobel算子的单帧红外弱小目标检测算法。该方法根据Sobel算子的边缘检测特性,先对图像进行中值滤波,提高弱小目标的信噪比,然后利用Sobel算子和本文提出的检测模板,对图像进行卷积处理,最后经中值滤波后检测出红外弱小目标。文中从理论上分析了改进算法的有效性,并与质心检测算法和基于局部均值以及基于Top-Hat等检测算法进行了对比实验。结果表明,该算法比实验中其他检测算法检测精度更高,检测效果更加明显。Aiming at the problem of low detection precision and poor effect of single frame infrared dim target detection algorithm, a novel algorithm of single frame infrared small target detection based on improved Sobel is proposed. According to the characteristic of Sobel operator edge detection, firstly, the image median filtering can improve the dim small target signal-noise ratio, and then use the Sobel operator and the proposed detection template to deal with the image convolution, finally detect the infrared dim small target after median filtering. The effectiveness of the improved algorithm is analyzed theoretically and compared with the centroid detection algorithm and the detection algorithm based on local mean and Top-Hat. Experimental results show that the proposed algorithm is more accurate than other detection algorithms in the experiment, and the detection effect is more obvious.

关 键 词：SOBEL算子 红外图像 弱小目标 单帧检测 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]