陈怡群, 常 春, 汤伯敏. 雾滴显微图像分析中处理亮度不均匀性的算法[J]. 农业工程学报, 2009, 25(1): 149-153.
    引用本文: 陈怡群, 常 春, 汤伯敏. 雾滴显微图像分析中处理亮度不均匀性的算法[J]. 农业工程学报, 2009, 25(1): 149-153.
    Chen Yiqun, Chang Chun, Tang Bomin. lgorithm for handling uneven brightness in image processing of fogdrop micrograph[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(1): 149-153.
    Citation: Chen Yiqun, Chang Chun, Tang Bomin. lgorithm for handling uneven brightness in image processing of fogdrop micrograph[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(1): 149-153.

    雾滴显微图像分析中处理亮度不均匀性的算法

    lgorithm for handling uneven brightness in image processing of fogdrop micrograph

    • 摘要: 研究烟雾机雾滴分布情况时,用计算机对雾滴显微图像进行分析可以得到统计数据。由于光学原因,这种图像通常会出现的中心亮、边缘暗的情况,从而影响统计结果的准确性。为解决此问题,作者采用锥形亮度系数处理法对图像进行处理,以求消除这种平均亮度不均匀的情况。用这种方法编制的程序来处理烟雾机试验的显微雾滴图像,获得了平均亮度均匀的图像和准确的处理结果。这种方法可用于处理所有因光学原因造成的显微图像中心与边缘亮度不均匀的情况。

       

      Abstract: On studying distribution of fogdrops made by fog machine, computer can be used to analyze the images of fogdrop micrograph and obtain statistical data. Due to the optical effects, such images tend to have brighter center and darker edge, thus affecting the accuracy of statistical results. To eliminate the uneven brightness, the authors used the method of taper brightness factor to process the images. The authors applied this method in their program to deal with the micrograph of fogdrops from fog machine experiment, and obtained a uniform average brightness of image processing and accurate results. This method can also be applied to correct similar uneven brightness of center and edge in the micrograph caused by optical effects.

       

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