基于小波分析的X线医学图像噪声综合抑制方法  

A wavelet-based synthetic technology for denoising X-ray medical image

作　　者：刘英豪[1] 许陇云[1] 陈家璧[1] 谢建洪[1] 

机构地区：[1]上海理工大学光学与电子信息工程学院,上海200093

出　　处：《上海理工大学学报》2003年第2期155-158,共4页Journal of University of Shanghai For Science and Technology

摘　　要：提出了一种基于小波分析理论的医学X线图像噪声的综合抑制方法. 将X线图像的试验处理结果与邻域平均、中值滤波去噪处理方法进行对比分析,结果表明该方法不仅能消除噪声提高图像质量,而且有效地保留了影像中丰富的细微影纹和边缘信息.A new method of removing random noises from X-ray medical images based on wavelet-based synthetic technology—The wavelet-based analysis of removing random noises is developed. Experimental results show that the performance of this method is better than the methods of neighbor average and median filter in removing noises and reserving richer fine textures and edge information.

关 键 词：X线医学影像 小波分析 随机噪声抑制 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]