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基于结构张量和非局部平均滤波的MRI图像去噪 被引量：1

MRI denoising based on structure tensor and non-local means filter
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摘要 考虑到MRI图像的几何结构相似性,将结构张量应用到三维非局部平均滤波算法。将本文提出的方法和最近提出的不同改进版本的非局部平均滤波算法在Brainweb数据库上进行对比,实验结果表明,本文提出的方法在峰值信噪比(PSNR)上有所提高,有效地抑制了噪声。 Taking the image local geometric structures into account, we apply the measure of structure tensor into the three-dimensional non-local means （NLM3D） filter. The presented method has been compared with the related state-of-the-art methods over synthetic Brainweb datasets where improved performance in term of PSNR was found.
作者 陈创泉 房少梅
机构地区 华南农业大学理学院
出处 《佛山科学技术学院学报（自然科学版）》 CAS 2013年第3期39-43,共5页 Journal of Foshan University(Natural Science Edition)
基金 国家自然科学基金资助项目(11271141)
关键词 MRI去噪 非局部平均滤波 结构张量 image denoising non-local means structure tensor
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献13

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同被引文献25

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  • 7ANAND C S,SAHAMBI J S. Wavelet domain non-linear filteringfor MRI denoising[J]. Magnetic Resonance Imaging,2010*28(6):842-861.
  • 8BUADES A,COLL B,MOREL J M. A non-local algorithm forimage denoising [C]. IEEE Computer Society Conference on Com-puter Vision and Pattern Recognition,Washington: IEEE ComputerSociety Press, 2005 : 60-65.
  • 9MANJON J V,CARBONELL-CABALLERO J, LULL J J, et al.MRI denoising using non-local means[J]. Medical Image Analysis,2008,12(4):514-523.
  • 10MANJON J V,COUPE P, MARTI-BONMATI L,et al. Adaptivenon-local means denoising of MR images with spatially varyingnoise levels[J]. Journal of Magnetic Resonance Imaging,2010,31?1):192-203.

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佛山科学技术学院学报（自然科学版）
2013年 第3期

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