基于水平集的绝缘子紫外线放电特征提取

Heming Li, Ri-jun Dai, Man Li, F. Lu
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引用次数: 3

摘要

为了自动准确地获取外绝缘紫外线放电图的光斑面积,提出了一种基于活动轮廓模型的光斑面积提取方法。在活动轮廓模型中,通过计算偏微分方程得到了紫外线放电区域轮廓。该算法具有全局寻优能力,不同于传统方法通过局部图形信息获取边缘。该方法抗干扰能力强,对图像清晰度要求低,同时不需要预处理,能准确获得紫外线放电的光斑面积。将传统边缘检测算子、数学形态学方法和本文方法应用于紫外放电图的光斑面积提取,结果表明:传统边缘检测算子得到的光斑面积存在较大干扰,且得到的轮廓点离散,难以得到光斑面积。该方法可以准确地获得单个或多个光斑面积,且不存在数学形态学方法的最优阈值选择问题和结构元素尺寸选择问题,具有较强的自动化能力。
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Insulator ultraviolet discharge feature extraction based on level set
For obtainment of facula area of external insulation ultraviolet discharge figure automatically and accurately, a facula area extraction method based on active contour models was proposed in the paper. Of the active contour models, the ultraviolet discharge region contour was obtained by calculation of partial differential equation. The algorithm has global optimization capacity, which is different from obtainment of edge by local figure information of conventional methods. It has strong capacity of resisting disturbance, low requirement for image definition, in the meantime, need not preprocessing, the facula area of ultraviolet discharge could be obtained accurately. Conventional edge detection operators, mathematical morphology method and the proposed method were implemented to obtain facula area of ultraviolet discharge figure, the result indicates that: the edge obtained by the conventional edge detection operators exist much interference, and the obtained contour points is discrete, it is difficult to obtain the facula area. The proposed method can obtain single or multiple facula area accurately, and it has not the optimal threshold selection problem and dimension selection of structuring element problem of mathematical morphology method, has strong automation capacity.
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