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A Blurring Index for Medical Images

机译：医学图像的模糊指数

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摘要

This study was undertaken to investigate a useful image blurring index. This work is based on our previously developed method, the Moran peak ratio. Medical images are often deteriorated by noise or blurring. Image processing techniques are used to eliminate these two factors. The denoising process may improve image visibility with a trade-off of edge blurring and may introduce undesirable effects in an image. These effects also exist in images reconstructed using the lossy image compression technique. Blurring and degradation in image quality increases with an increase in the lossy image compression ratio. Objective image quality metrics [e.g., normalized mean square error (NMSE)] currently do not provide spatial information about image blurring. In this article, the Moran peak ratio is proposed for quantitative measurement of blurring in medical images. We show that the quantity of image blurring is dependent upon the ratio between the processed peak of Moran's Z histogram and the original image. The peak ratio of Moran's Z histogram can be used to quantify the degree of image blurring. This method produces better results than the standard gray level distribution deviation. The proposed method can also be used to discern blurriness in an image using different image compression algorithms.
机译：进行这项研究以研究有用的图像模糊指数。这项工作基于我们先前开发的Moran峰比率。医学图像通常会因噪音或模糊而变差。图像处理技术用于消除这两个因素。去噪处理可以通过权衡边缘模糊来改善图像可见度，并且可以在图像中引入不期望的效果。在使用有损图像压缩技术重建的图像中也存在这些影响。图像质量的模糊和劣化随着有损图像压缩率的增加而增加。客观图像质量指标[例如，标准化均方误差（NMSE）]当前不提供有关图像模糊的空间信息。在本文中，提出了Moran峰比率，用于定量测量医学图像中的模糊。我们表明，图像模糊的数量取决于Moran Z直方图的处理峰与原始图像之间的比率。 Moran Z直方图的峰值比率可用于量化图像模糊的程度。此方法比标准灰度分布偏差产生更好的结果。所提出的方法还可以用于使用不同的图像压缩算法来识别图像中的模糊性。

著录项

  • 来源
    《Journal of Digital Imaging》 |2006年第2期|118-125|共8页
  • 作者

    Tzong-Jer Chen Ph.D.; Keh-Shih Chuang; Jen-Hao Chang; Ya-Hui Shiao; Chun-Chao Chuang;

  • 作者单位

    Department of Medical Imaging Technology Shu-Zen College of Medicine and Management Luju Shiang Kaohsiung 82144 Taiwan;

    Department of Nuclear Science National Tsing-Hua University Taiwan;

    Biomedical Engineering Center Industrial Technology Research Institute Chutung Hsinchu Taiwan;

    Department of Medical Imaging Technology Shu-Zen College of Medicine and Management Luju Shiang Kaohsiung 82144 Taiwan;

    Department of Medical Imaging Technology Shu-Zen College of Medicine and Management Luju Shiang Kaohsiung 82144 Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Moran peak ratio; image blurring; image quality;

    机译：莫兰峰比;图像模糊;图像质量;

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