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Extraction method of insulator discharge area in ultraviolet image and its application

机译：紫外线图像中绝缘子放电区域的提取方法及其应用

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The ultraviolet imaging detection is one of the important detection methods of power equipment insulation, which is of great significance for detection of the equipment insulation state, ensuring its normal and safe operation, and reduction of power system safety accidents. According to the characteristics of the ultraviolet image, the threshold method, the noise reduction algorithm based on mathematical morphology and area filtering, and the four neighborhood connection method are used to extract the discharge area in the ultraviolet image and calculate its area. The algorithm in this paper is used to deal with the partial discharge ultraviolet image of the insulator string, and the extracted discharge area agrees well with the actual, verifing the validity of the algorithm. The ultraviolet image of partial discharge of clean and polluted glass insulators under different voltage is taken, and the discharge area is calculated by the algorithm in this paper, whose result shows that the partial discharge area of polluted glass insulator is large than the clean one.
机译：紫外线成像检测是电力设备绝缘状态的重要检测方法之一，对检测设备绝缘状态，确保其正常安全运行，减少电力系统安全事故具有重要意义。根据紫外线图像的特点，采用阈值法，基于数学形态学和面积滤波的降噪算法以及四邻域连接法提取紫外线图像中的放电面积并计算其面积。该算法用于处理绝缘子串的局部放电紫外图像，提取的放电面积与实际吻合良好，验证了该算法的有效性。拍摄了洁净，污染玻璃绝缘子在不同电压下的局部放电的紫外图像，并通过算法计算出放电面积，其结果表明，污染玻璃绝缘子的局部放电面积大于洁净玻璃绝缘子的局部放电面积。

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