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14 November 2023 Research on stitching technology based on enhanced images of substations
Shuanghao Guo, Hong Zhang, Xiu Ji, Weinan Xu
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Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 129340T (2023) https://doi.org/10.1117/12.3008312
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China
Abstract
The digital, intelligent and visual operation of substations has become a current research trend. In order to obtain all-weather substation image information, this paper proposes to enhance the low-light image at night based on gamma correction, then match the enhanced image with feature points, transform the image by Fourier-Mellin transform (FM) to obtain the overlapping area; use the fast approximate nearest neighbour (FLANN) matching algorithm for coarse matching, introduce the progressive sample consensus (PROSAC) to finely filter the feature points to improve the correct rate; finally, the stitched image is weighted fusion processing to remove the stitching seam. (PROSAC) to finely filter the feature pairs to improve the correct rate; finally, the stitched images are weighted and fused to remove the stitching seams. The experimental results show that this algorithm can enhance the night image, improve the matching accuracy and meet the requirements of stitching quality.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Shuanghao Guo, Hong Zhang, Xiu Ji, and Weinan Xu "Research on stitching technology based on enhanced images of substations", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 129340T (14 November 2023); https://doi.org/10.1117/12.3008312
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KEYWORDS
Image enhancement
Image fusion
Image processing
Enhanced vision
Feature extraction
Matrices
Image filtering
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