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A scorch extraction method for the Campbell-Stokes sunshine recorder based on multivariable thresholding

机译:基于多变量阈值的坎贝尔 - 斯托克斯阳光记录器的烧焦提取方法

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The Campbell-Stokes sunshine recorder is an instrument which can measure the solar radiation by using the scorch on the recorder card. It is short for C-S. The weak scorch and the strong scorch represent different solar radiation. The weak scorch is so hard to extract that the radiation represented by the weak scorch always be neglected. The present methods reduce the accuracy of extraction, because these methods only extract the strong scorch and falsely treat the weak scorch as background. The RGB (red, green, blue) color image has more details of scorch than gray image, so a new method for scorch extraction based on the multivariable thresholding is proposed in this paper. The method segments the scorch with self-adaptive thresholds and optimizes the extraction with the amendatory coefficient, consequently, the robustness and accuracy of the algorithm is improved.
机译:Campbell-Stokes Sunshine Recorder是一种仪器,可以通过使用记录器卡上的焦点来测量太阳辐射。 C-s是短暂的。弱的蝎子和强的蝎子代表不同的太阳辐射。弱焦丸很难提取弱焦焦始终被忽略所代表的辐射。本方法降低了提取的准确性,因为这些方法仅提取强烈的烧焦并虚弱地将弱烧焦作为背景。 RGB(红色,绿色,蓝色)彩色图像具有比灰色图像更具焦点的细节,因此本文提出了一种基于多变量阈值处理的烧焦提取方法。该方法分段具有自适应阈值的焦点,并通过换向系数优化提取,因此,提高了算法的鲁棒性和准确性。

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