| 基于异性扩散-中值滤波的超声医学图像去噪方法 |
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| 引用本文： | 李俊盛,刘宗田. 基于异性扩散-中值滤波的超声医学图像去噪方法[J]. 计算机应用与软件, 2009, 26(1) |
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| 作者姓名： | 李俊盛 刘宗田 |
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| 作者单位： | 上海大学计算机工程与科学学院,上海,200072;上海大学计算机工程与科学学院,上海,200072 |
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| 基金项目： | 上海市科技发展基金重点项目 |
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| 摘 要： | 针对超声图像存在一种特殊的斑点噪声,使图像边界与细节变得模糊而严重影响图像质量的问题,提出了一种新的去除医学图像斑点噪声的方法,它利用中值滤波和各向异性扩散相结合,不仅可以有效地去除噪声而且很好地保持了边缘、局部细节信息.此外,该方法在扩散过程中,梯度阈值选取的不同对图像结果影响很小,这极大地提高了该算法的健壮性.实验中,通过和各向异性扩散、中值滤波等方法的比较,表明该方法具有良好的去噪效果.
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| 关 键 词： | 医学图像处理 各向异性扩散 超声图像 斑点噪声 去噪 |
ULTRASONIC MEDICAL IMAGE DENOISING METHOD BASED ON ANISOTROPIC DIFFUSION-MEDIAN FILTERING |
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| Li Junsheng,Liu Zongtian. ULTRASONIC MEDICAL IMAGE DENOISING METHOD BASED ON ANISOTROPIC DIFFUSION-MEDIAN FILTERING[J]. Computer Applications and Software, 2009, 26(1) |
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| Authors: | Li Junsheng Liu Zongtian |
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| Affiliation: | College of Computer Engineering and Science;Shanghai University;Shanghai 200072;China |
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| Abstract: | A kind of noise called speckle in ultrasonic images degraded severely the sharpness of image,especially edges and details.A new approach against this problem which reduces speckle noise and enhances structures in speckle-corrupted medical images was proposed.It utilized a median filtering-anisotropic diffusion compound scheme.This hybrid approach achieved much better noise suppression with minimum edge blurring while kept the edge and detail information of ultrasound images well.In addition,the performance ... |
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| Keywords: | Medical image processing Anisotropic diffusion Ultrasonic image Speckle noise Denoising |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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