Abstract
The transmission line is one of the important components of the power system, which is of great significance to ensure power supply reliability. At present, the transmission line image icing detection based on 3D reconstruction mainly combines the camera parameters and the disparity map obtained by stereo matching to perform 3D reconstruction of the icing state of the transmission line and judge the icing of the transmission line according to the reconstructed image 3D model Happening. This article mainly conducts experiments on the improved Census transform algorithm proposed in the stereo matching process in the experiment. Based on the Middlebury stereo vision data set test platform, the experimental results show that this method has an important role in researching transmission line ice detection and is a follow-up deicing robot. The vision system and ice detection provide new ideas.
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Quan, L., Zhihui, F., Xin, Z., Zicheng, Z., Wei, J., Chang, KC. (2021). Ice Detection Transmission Line Based on Improved Census Transform. In: Hassanien, A.E., et al. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). AICV 2021. Advances in Intelligent Systems and Computing, vol 1377. Springer, Cham. https://doi.org/10.1007/978-3-030-76346-6_59
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DOI: https://doi.org/10.1007/978-3-030-76346-6_59
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