摘要
将Speckle噪声的统计特性及超声图像的对数压缩变换应用于加权中值滤波 ,对权系数的选择进行了改进 .使得能够保留更多的细节内容 ,而对Speckle噪声的去除能力并没有降低 .实验证明所提出的方法具有良好的效果 .
In this paper, an improved method for smoothing speckle noise in ultrasonic images is proposed by applying the weighted median filter based on the statistic characteristics of speckle noise and log compression in ultrasonic imaging. It can preserve more image details while the ability of noise reduction is kept. The results demonstrate that the feasibility of the approach is very promising.
出处
《华中理工大学学报》
CSCD
北大核心
2000年第6期71-73,共3页
Journal of Huazhong University of Science and Technology
基金
教育部跨世纪优秀人才基金
关键词
超声图像
自适应加权中值滤波
超声诊断
B超
ultrasonic image
median filter
K distribution
noise filter
speckle noise