摘要
机场旅客行李爆炸物CT检测成像过程中不可避免地受到噪声影响,对重建图像的去噪处理是爆炸物CT检测技术中的一个重要环节。针对机场旅客行李隐藏爆炸物快速检测、重建图像质量要求和引入的噪声特点,提出了一种有效的图像去噪算法将小波包分析与快速中值滤波相结合,并且对小波包系数运用一种新的阈值去噪方法。实验结果表明,该算法能更有效地去除重建图像的噪声并保持图像的边缘细节。
The imaging process in CT detection of explosives concealed in passengers luggage at airport is interfered by noises. The denoising processing for image reconstruction is an important portion in CT detection of explosives. Aiming at the fast detection of explosives hidden in passengers luggage, requirement of reconstruction image quality and the characteristic of noises,an efficient image denoising method is proposed combination with wavelet packet transform and fast median filtering,and a new threshold denoising method is applied in decomposable coefficients. The experiment result shows that the noises of image are effectively removed. At the same time, the edge detail of the image is kept well.
出处
《中国民航大学学报》
CAS
2008年第1期25-27,39,共4页
Journal of Civil Aviation University of China
基金
国家自然科学基金(60672168)
关键词
爆炸物CT检测
重建图像
去噪
小波包变换
快速中值滤波
CT detection
reconstructing image
denoising
wavelet packet transform
fast median filtering
