Leong F J W-M, Brady M, McGee J O'D
Oxford University Nuffield Department of Clinical Laboratory Sciences, John Radcliffe Hospital, Oxford OX3 9DU, UK.
J Clin Pathol. 2003 Aug;56(8):619-21. doi: 10.1136/jcp.56.8.619.
Many digital microscopy images suffer from poor illumination at the peripheries (vignetting), often attributable to factors related to the light path between the camera and the microscope. A commonly used method for correcting this has been to use the illumination of an empty field as a correction filter (white shading correction).
To develop an alternative shading correction method that does not require this additional image.
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This report outlines an alternative shading correction method that is based upon the intrinsic properties of the image, which are revealed through Gaussian smoothing. The technique can be implemented within Adobe Photoshop or other graphics editing software and works well with both haematoxylin and eosin and immunohistochemical images.
This technique provides an effective means of optimising digital microscopy image appearances for printing, image analysis, or telepathology.
许多数字显微镜图像在外围存在光照不佳（渐晕）的问题，这通常归因于与相机和显微镜之间光路相关的因素。一种常用的校正方法是将空白视野的光照用作校正滤镜（白色阴影校正）。
开发一种无需额外图像的替代阴影校正方法。
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本报告概述了一种基于图像固有特性的替代阴影校正方法，该特性通过高斯平滑得以揭示。该技术可在Adobe Photoshop或其他图形编辑软件中实现，并且对苏木精和伊红染色图像以及免疫组织化学图像均适用。
该技术为优化数字显微镜图像以用于打印、图像分析或远程病理学提供了一种有效手段。
