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- W3031984392 abstract "In the process of lapping the drainage wires by the aerial live-working robot of urban overhead lines, it is difficult to accurately detect the target. This paper aims at this problem, a method of detecting the exposed area of overhead cable based on the Gabor filter is proposed. The orientation angle and correlation coefficients of the original image are obtained by estimating the orientation field. Then, spectral clustering is proposed to cluster the samples of directional field sub-blocks characterized by coordinates and correlation, extract the position of the exposed area and calculate the texture frequency in this area. Furthermore, the Gabor filter is designed according to direction angle and frequency to filter image, enhance the exposed area and reduce background noise. Texture details are extracted accurately by edge detection. Finally, the location of the exposed area is extracted and located by morphological filtering combined with minimum outer rectangle calculation. The effectiveness of the algorithm is verified by the original image detection experiment." @default.
- W3031984392 created "2020-06-05" @default.
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- W3031984392 date "2019-11-01" @default.
- W3031984392 modified "2023-09-26" @default.
- W3031984392 title "Image detection method for the exposed area of overhead cable based on Gabor filter" @default.
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- W3031984392 doi "https://doi.org/10.1109/icemi46757.2019.9101513" @default.
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