摘要
弱目标的检测一直是监视和报警系统的重要组成部分.海面背景下海面及连绵起伏的波浪反光使图像的信噪比和对比度都较低,而且舰船目标像素较少.先利用自适应灰度阈值对图像进行滤波;再进行9/7提升小波变换,提取高频部分;然后利用高频部分进行重构;最后对重构后的图像进行自适应灰度阈值处理,检测出目标.实验结果表明该算法能够有效地检测出强噪声和背景杂波干扰情况下的舰船目标.
The detection of weak and small target plays an important part in the monitoring and warning systems. The target＇s SNR（Signal Noise Ratio） and contrast are very low when the target is in the sea background in which there are sea waves and the reflexing light from the stretch welter. And the pixels of the target are few. We used adaptive gray-level threshold for image filter. And then we get the high frequency coefficient after 9/7 lifting wavelet transform. Third, we used the high frequency coefficient for 9/7 lifting wavelet reconstruct. At last, we can detect the target using adaptive gray-level threshold for image filter. The result of experiment showed that satisfactory results could be achieved through the method mentioned above in the special background.
出处
《微电子学与计算机》
CSCD
北大核心
2008年第4期28-30,共3页
Microelectronics & Computer
关键词
弱目标检测
自适应阈值
小波变换
海面背景
weak target detection
adaptive threshold
wavelet transform
sea background
