基于形态学方法的红外小目标检测  

Infrared Dim Target Detection Using Morphology-Based Method

作　　者：臧传吉[1] 李桂祥[2] 王宇翔[1,3] 

机构地区：[1]空军雷达学院研究生管理大队 [2]空军雷达学院二系 [3]92261部队

出　　处：《空军雷达学院学报》2012年第2期94-97,共4页Journal of Air Force Radar Academy

摘　　要：为了降低复杂背景下红外小目标检测的虚警率,在分析目标特性的基础上,给出了一种高提升滤波与形态学Top-hat算子相结合的检测方法.该方法首先对红外图像进行高提升滤波,提高图像对比度;通过Top-hat变换滤除背景,利用伽马变换提高信噪比(SNR),经阈值分割检测出可能的目标,然后通过对序列图像的处理最终确定目标,并形成稳定航迹.仿真结果表明:与单一的Top-hat变换相比,该方法能够更准确检测出信噪比不小于2的目标,且虚警率低.In order to reduce the false alarm rate of infrared dim target detection under the complex background, this paper proposes a detection method that combines the high frequency-emphasized filtering with morphology Top-hat operator, based on analyzing the target＇s features, where the infrared image is filtered with high frequency-emphasis, improving the image contrast; the background is filtered via Top-hat transform, the SNR is boosted by using Gamma transform, the possible target is detected by using threshold segmentation, and the target is finally determined by processing of sequence image, forming steady track. The simulation results show that the proposed method can detect more accurately the target whose SNR is not less than 2, with lower false alarm rate, compared to the single Top-hat transform.

关 键 词：形态学 高提升滤波 TOP-HAT算子 伽马变换 小目标检测 

分 类 号：O434.12[机械工程—光学工程] TP391[理学—光学]