摘要
散斑去噪是后期医用超声图像分割和识别等关键的预处理过程。本文在对国内外散斑去噪文献进行分析和归纳的基础上,综述了用于散斑图像去噪的主要算法,包含空域去噪算法、小波域去噪算法和各向异性扩散去噪算法,并对其性能进行分析和研究。在此基础上提出对医用超声领域散斑图像去噪的一些展望。
The speckle denoising is a key preprocessing for later segmentation and identification in medical ultrasound imaging.On the basis of understanding and analysis on speckle image denoising literature,in this paper,we review the main algorithms for speckle image denoising which include different categories like the spatial domain denoising algorithms,the wavelet domain denoising algorithms and the anisotropic diffusion filter algorithm.And the performances of these algorithms are analyzed.Finally,some prospects of speckle denoising in medical ultrasound imaging are put forward.
出处
《中国医疗器械信息》
2013年第3期17-22,共6页
China Medical Device Information
关键词
散斑去噪
空域去噪
小波去噪
各向异性扩散去噪
medical ultrasound imaging
speckle reduction
spatial domain denoising
wavelet transform
anisotropic diffusion
