摘要
针对红外搜索跟踪设备对云背景下红外弱小目标的检测问题,提出了一种新的综合滤波算法。在对图像进行对比度增强的基础上,采用高通滤波去除大面积云背景,并利用中值滤波孤立图像点噪声,而后使用全局阈值分割法分割目标和残余噪点,从而实现小目标的检测。通过图像质量评价方法对原图像和处理后图像进行计算分析表明,背景抑制图像的信噪比和对比度得到有效提高,能够清晰检测出云背景下的红外弱小目标。实验数据有效证明了综合滤波算法的合理性和可行性。
Aiming at the problem of infrared search and tracking equipment detecting infrared dim small targets in cloud background,a new integrated filtering algorithm is proposed. On the basis of image contrast enhancement,high-pass filtering is used to remove large area cloud background,and median filtering is used to isolate image point noise,and then the global threshold segmentation method is used to segment the target and residual noise,so as to realize the detection of the small targets. Comparing the original image with the processed image by the method of image quality evaluation,the signal-to-noise ratio and contrast of the background suppressed image are effectively improved,and the infrared dim small targets in cloud background can be clearly detected. The experimental data effectively proved the rationality and feasibility of the integrated filtering algorithm.
作者
张高峰
孙致月
ZHANG Gao-feng;SUN Zhi-yue(Branch 95,Unit 91336 of PLA,Qinhuangdao 066326,China)
出处
《电子设计工程》
2018年第18期49-53,共5页
Electronic Design Engineering
关键词
目标检测
红外弱小目标
云背景
高通滤波
中值滤波
targets detection
infrared dim small targets
cloud background
high-pass filtering
median filtering
