摘要
针对超声成像噪声大、数据质量严重退化的特点,提出了一种新颖的非稳定度度量算法,该算法通过加强图像变化较大的部分来实现超声数据的增强。给出了输入信号信噪比不同情况下非稳定度算子与Deriche算子的输出仿真结果;通过兔子肝脏和12周胎儿的实际数据计算,得到了二者经非稳定度算子处理前后的超声立体视觉图像。研究结果表明,非稳定度数据增强技术对噪声不敏感,通过对比处理前后的图像可清晰地看出非稳定度算子能够有效地改善超声立体视觉成像的质量。
To solve the problems on the important ultrasonic noise and the quality degradation of data in ultrasonic imaging, a novel image enhancement algorithm by calculating the Non-stationary Degree（NSD） of the image is proposed, which highlights the rapid changes of image to realize the image enhancement. The simulation results are given for different SNR levels of input signal by applying the NSD algorithm and the Deriche operator respectively. Two successful actual applications for a rabbit＇s liver and a 12-week infant, are provided. The research results show that proposed algorithm is insensitive to the noise. Compared with the image without processing, it is obvious that the enhancement of the ultrasonic stereovision image is effective.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2008年第9期1759-1766,共8页
Optics and Precision Engineering
基金
国家自然科学基金资助项目(No.60777004)
科技部国际科技合作计划重大项目(No.2007DFB30320)
关键词
三维立体视觉
超声成像技术
立体视觉图像
数据增强
非稳定度
3-Dimension stereovision
ultrasonic imaging technology
stereovision image
data enhancement
Non-Stationary Degree（NSD）
