摘要
本文针对影响医学超声图象质量的斑点噪声问题，提出了一种基于自适应前处理的多尺度非线性阈值斑点噪声抑制方法。方法的特点是有机地将自适应加权中值滤波和小波分析多尺度非线性阈值两种方法结合在一起．对离体器官超声图象处理的结果表明，这一新方法在有效去除斑点噪声的同时，很好地保留了图象细节。
This paper presents a novel speckle sappression mthod for medical B-Scan ultrasonic images. th mehtod takes the advantages of combining the routineal thresholding technique in multiscale wavelt analysis with pr-processing of th .adaptive filtering. Performance of the new method has ho tested for an in vitro B scan image of a pig hart. The results show that it can effectively reduce the speckle noise while preserving the resolvable details.
出处
《信号处理》
CSCD
1999年第1期76-81,共6页
Journal of Signal Processing
关键词
斑点噪声
小波变换
非线性阈值
噪声抑制
Speckl, Wavelet transform, Nonlinear thresholding, Adaptivee filter
