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- W2377091372 abstract "In order to on-line detect the contamination condition of insulator by infrared thermal imaging,a new method for insulator pollution level detection was proposed based on radial temperature distribution features.The image region of insulator was intercepted manually and denoised by complex wavelet generalized crossing validation(GCV) threshold method to suppress white-noise interference.According to the segmentation threshold extracted from the histogram envelope line,the edge points of the ceramic piece surface of insulator were sampled by binarizated horizontal scan of the segmented image,which is applied to fit the elliptic equation of disc surface edge by least square method.Finally,the ellipse image region above its long axis was abstracted,from which radial temperature distribution features were extracted to represent the pollution severity of the insulator.The insulator pollution level was evaluated by minimum distance classifier under the nearest humidity condition.Experiment results proved the feasibility and effectiveness of the method." @default.
- W2377091372 created "2016-06-24" @default.
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- W2377091372 date "2010-01-01" @default.
- W2377091372 modified "2023-09-23" @default.
- W2377091372 title "Insulator Pollution Level Detection Using Radial Temperature Distribution Features" @default.
- W2377091372 hasPublicationYear "2010" @default.
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