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首页> 外文会议>IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN) >EFFECT OF IMAGE PROCESSING OF A LEAF PHOTOGRAPH ON THE CALCULATED FRACTAL DIMENSION OF LEAF VEINS
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EFFECT OF IMAGE PROCESSING OF A LEAF PHOTOGRAPH ON THE CALCULATED FRACTAL DIMENSION OF LEAF VEINS

机译：叶照片的图像处理对叶静脉计算的分形维数的影响

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摘要

Digital photography is a promised method for estimating the fractal haracteristics of leaf veins. In this study, the effects of different threshold levels and image processing methods using Adobe Photoshop software on the fractal dimension values were examined from a digital photo of nectarine leaf. The results showed that the nectarine leaf vein has typical fractal characteristics and its fractal dimension increased linearly with the increasing levels of threshold. A larger value of fractal dimension was calculated from the image processed by dark strokes, and a smaller value by accented edges or desaturate. A positive relationship was found between the calculated values of fractal dimension and the black coverage in the image. Therefore, it should be cautious to choose threshold levels and image processing methods when processing a digital image for calculating the fractal characteristics of leaf veins.
机译：数码摄影是估计叶脉的分形特征的一种有前途的方法。在这项研究中，从油桃叶片的数码照片检查了不同阈值水平和使用Adobe Photoshop软件的图像处理方法对分形维数值的影响。结果表明，油桃叶脉具有典型的分形特征，其分形维数随阈值水平的增加而线性增加。从暗笔触处理的图像计算出的分形维数较大，而通过加重边缘或去饱和度则计算出较小的分形维数。在分形维数的计算值与图像中的黑色覆盖率之间发现正相关。因此，在处理数字图像以计算叶脉的分形特征时，应谨慎选择阈值水平和图像处理方法。

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