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Title |
Performance of Feature-based Stitching Algorithms for Multiple Images Captured by Tunnel Scanning System
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Authors |
이태희(Tae-Hee Lee) ; 박진태(Jin-Tae Park) ; 이승훈(Seung-Hun Lee) ; 박신전(Sin-Zeon Park) |
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DOI |
https://doi.org/10.11112/jksmi.2022.26.5.30 |
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Keywords |
터널 라이닝; 점검; 터널 스캐닝 시스템; 영상접합; 특징점 검출; SIFT; ORB; BRISK Tunnel lining; Inspection; Tunnel scanning system; Stitching; Feature detection; SIFT; ORB; BRISK |
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Abstract |
Due to the increase in construction of tunnels, the burdens of maintenance works for tunnel structures have been increasing in Korea. In addition, the increase of traffic volume and aging of materials also threatens the safety of tunnel facilities, therefore, maintenance costs are expected to increase significantly in the future. Accordingly, automated condition assessment technologies like image-based tunnel scanning system for inspection and diagnosis of tunnel facilities have been proposed. For image-based tunnel scanning system, it is key to create a planar image through stitching of multiple images captured by tunnel scanning system. In this study, performance of feature-based stitching algorithms suitable for stitching tunnel scanning images was evaluated. In order to find a suitable algorithm SIFT, ORB, and BRISK are compared. The performance of the proposed algorithm was determined by the number of feature extraction, calculation speed, accuracy of feature matching, and image stitching result. As for stitching performance, SIFT algorithm was the best in all parts of tunnel image. ORB and BRISK also showed satisfactory performance and short calculation time. SIFT can be used to generate precise planar images. ORB and BRISK also showed satisfactory stitching results, confirming the possibility of being used when real-time stitching is required.
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