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Shading correction methods for digital image analysis of confocal wood images.

机译:共焦木材图像数字图像分析的阴影校正方法。

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Confocal fluorescence microscopy provides a rapid method for acquiring high quality optically thin section images of wood suitable for measurement of cell dimensions. Single optical slice images of wood may occasionally contain artefacts due to differential light absorption caused by variation in the distance between the sample surface and the imaging plane across the field of view. Regional brightness variations, which we call shading, may cause problems when such images are used for wood cell measurements using digital image analysis, affecting the accuracy of wood cell dimensions. We have compared various shading correction methods for confocal microscope images of Pinus radiata wood and investigated the effect of shading on both the classification of cell wall pixels and the resulting cell dimension measurements. Severe shading results in significant errors for measurement of cell wall area, but smaller errors for cell wall thickness and lumen diameter. Some shading correction methods have unwanted effects on pixel classification and cell dimensions, while more effective methods remove the shading without introducing further artefacts. The effect of shading is influenced by choice of thresholding method.
机译:共聚焦荧光显微镜技术提供了一种快速的方法,用于获取适合于测量细胞尺寸的高质量光学薄切片木材图像。木材的单个光学切片图像有时可能会由于伪影吸收而产生伪影,这些伪影是由于整个视场中样品表面和成像平面之间的距离变化而引起的。当使用数字图像分析将此类图像用于木质单元测量时,区域亮度变化(我们称为阴影)可能会引起问题,从而影响木质单元尺寸的准确性。我们比较了辐射松木材共聚焦显微镜图像的各种阴影校正方法,并研究了阴影对细胞壁像素分类和所产生的细胞尺寸测量的影响。严重的阴影会导致细胞壁面积测量的重大误差,但细胞壁厚度和管腔直径的误差较小。某些阴影校正方法会对像素分类和像元尺寸产生不良影响,而更有效的方法可在不引入其他伪影的情况下消除阴影。阴影效果受阈值方法选择的影响。

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