Denoising of insulator hydrophobic image based on the guided filtering algorithm
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    Abstract:

    The hydrophobic detection of composite insulators is an important means to ensure the safe and reliable op-eration of insulators. The effective elimination of noise from hydrophobic images is an important prerequisite for accu-rately extracting the edge of water droplets and realizing the hydrophobic identification of insulators. The guiding fil-tering algorithm is widely applied in the field of image processing because of its intuitive principle, low computationalcomplexity and its ability to effectively overcome the gradient inversion problem by the guiding image filtering. In thiscontext, the principle of guided filtering is analyzed firstly. Then, it is introduced into the denoising process of hydro-phobic image based on the image characteristics. Finally, the results of filtering experiment and quantitative experi-ment are analyzed to verify the good effect of the guided filtering algorithm in the preprocessing of hydrophobic imageedge extraction.

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袁文海,刘彪,王喆,赛涛,宋昆峰,夏鑫,汪沨,钟理鹏.基于引导滤波算法的绝缘子憎水性图像去噪研究[J].电力科学与技术学报英文版,2021,36(3):135-140. Yuan Wenhai, Liu Biao, Wang Zhe, Sai Tao, Song Kunfeng, Xia Xin, Wang Feng, Zhong Lipeng. Denoising of insulator hydrophobic image based on the guided filtering algorithm[J]. Journal of Electric Power Science and Technology,2021,36(3):135-140.

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  • Received:
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  • Online: August 26,2021
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