摘要
针对红外弱小目标检测中的背景抑制问题进行研究。首先对形态学滤波中结构元进行改进,提出一种组合型结构元,然后结合线性滤波和非线性滤波技术,对受背景杂波和随机噪声影响的图像采用低通滤波与改进型形态学滤波相结合的方法进行背景抑制。对比实验结果表明,该方法比低通滤波和标准形态学滤波算法在低信噪比环境下具有较大优势,较好地实现了对背景杂波的抑制和目标信号的保持,显著提高了图像信噪比。
This research is conducted on the background suppression in detecting infrared small dim target.First,a combinatorial structure is proposed to improve the structure of morphology filter.Combining linear filtering with nonlinear filtering technique,then,lowpass and morphology filter are used to remove the background clutter for the image under the influence of background clutter and random noise.Compared with the lowpass filter and the morphology filter,the new approach＇s performance is much better in the case of low signal noise ratio.The algorithm effectively filters the intense clutter and preserves the target signal,and the SNR is improved effectively.
出处
《电子信息对抗技术》
2012年第6期38-42,共5页
Electronic Information Warfare Technology
关键词
目标检测
背景抑制
形态学滤波
信噪比
target detection
background suppression
morphology filter
SNR
