红外技术, 2020, 42 (7): 683, 网络出版: 2020-08-18   

基于图像滤波与Hough 变换的红外弱小目标检测

Infrared Small Target Detection Based on Image Filtering and Hough Transform
作者单位
中国人民解放军66069 部队,河南洛阳 471023
摘要
针对红外传感器成像信噪比低且易受噪声、背景杂波干扰的问题,本文提出了一种基于最大中值滤波与Hough 变换的红外弱小目标检测方法。该方法首先对序列图像中的每一帧进行最大中值滤波,滤波输出与原始图像相减用以预测目标可能出现的区域。对于目标可能出现的区域使用均值滤波,反之则使用最小值滤波来抑制背景结构。然后将滤波后的序列图像直接叠加得到合成图像,采用有灰度权重的Hough 变换实现弱小目标的轨迹检测。实验结果表明该方法可以实现对信噪比接近1 的弱小目标的检测。同时,背景的运动对该方法的检测效果没有显著影响。
Abstract
To solve problems caused by infrared image sensors, such a slow signal to noise ratio, background clutter interference and sensor noise, an infrared small target detection method based on max-median filters and Hough transform is proposed. This proposed method predicts a candidate target region using the method of Max-Median filtering with a single image frame. The candidate target region is processed by a mean filter and the residual region is processed by a Min filter. Then, the weighted Hough transform is used to detect targets with the accumulation of multiple image frames. Experimental results demonstrate that this proposed algorithm can detect small targets with a signal to noise ratio of approximately 1. The background movement does not have a significant impact on the effectiveness and robustness of the proposed method.

汪烈兵, 姜雄飞, 石春光, 李慧冲, 马晓龙. 基于图像滤波与Hough 变换的红外弱小目标检测[J]. 红外技术, 2020, 42(7): 683. WANG Liebing, JIANG Xiongfei, SHI Chunguang, LI Huichong, MA Xiaolong. Infrared Small Target Detection Based on Image Filtering and Hough Transform[J]. Infrared Technology, 2020, 42(7): 683.

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