Hydrophobic characteristics of composite insulators based on image recognition algorithm

Wangwei Wang; Fan Kuang; Yanchao Cao; Rui Yang

doi:10.1117/12.2644387

9 September 2022 Hydrophobic characteristics of composite insulators based on image recognition algorithm

Wangwei Wang, Fan Kuang, Yanchao Cao, Rui Yang

Proceedings Volume 12328, Second International Conference on Optics and Image Processing (ICOIP 2022); 123280I (2022) https://doi.org/10.1117/12.2644387
Event: Second International Conference on Optics and Image Processing (ICOIP 2022), 2022, Taian, China

Abstract

In order to detect the hydrophobic characteristics of composite insulators, based on water drop edge feature recognition, the gradient amplitude of the image was suppressed by non-maximum to remove non-edge pixels. Double threshold detection algorithm and image closed algorithm were used to fill edges locally. Finally, the water drop surface regions were obtained, and the hydrophobic characteristics of composite insulators were calculated by using the maximum area ratio method. The results show that this method could effectively extract the surface area information of water drops which enhanced the image analysis effect of composite insulators. Based on this method, the hydrophobic characteristics level HC₁-HC₅ of composite insulators could be accurately identified.

Citation Download Citation

Wangwei Wang, Fan Kuang, Yanchao Cao, and Rui Yang "Hydrophobic characteristics of composite insulators based on image recognition algorithm", Proc. SPIE 12328, Second International Conference on Optics and Image Processing (ICOIP 2022), 123280I (9 September 2022); https://doi.org/10.1117/12.2644387

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