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STUDY OF PANORAMIC IMAGES GENERATION FOR TUNNEL LINING INSPECTION USING THE GRADIENT OF INTENSITY DIFFERENCE DISTRIBUTION BETWEEN TWO IMAGES
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- KAWAMURA Kei
- 山口大学大学院 創成科学研究科電気電子情報系専攻
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- YOSHIZAKI Masatoshi
- 山口大学大学院 創成科学研究科電気電子情報系専攻
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- KIM Cuong Nguyen
- 山口大学大学院 理工学研究科環境共生系専攻
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- SHIOZAKI Masando
- 三井住友建設株式会社 技術本部 建設情報技術部
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- NAKAMURA Hideaki
- 山口大学大学院 創成科学研究科電気電子情報系専攻
Bibliographic Information
- Other Title
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- トンネル壁面画像展開図作成における画像間の画素値差分布の勾配を利用した画像結合位置探索手法に関する研究
Description
The road tunnel periodic inspection manual indicates that the frequency of the periodic inspection is once every five years. To reduce working times and costs for tunnel lining inspection, an automatic inspection system is required. To achieve this, the authors have developed an inspection system for concrete tunnel lining based on image stitching and processing techniques. In this paper, the image acquisition device developed by authors was used in order to take continuously images of the tunnel lining surface at 30km/h speed. The device consists of six video cameras and three illuminators arranged optimally on a steel framework to ensure the quality of the captured images. Moreover, the device is mounted on an inspection vehicle to record the entire tunnel lining surface image for practical inspection application. In previous studies, the authors proposed the automatic image stitching method based on a local search algorithm in order to generate panoramic images of tunnel wall from the scanned images. However, the stitching method needed information of the vehicle speed and the imaging device such as frame rate. Therefore, in the paper , the gradient of intensity difference distribution between two images for image stitching was applied to find appropriate matching points without information such as vehicle speed.
Journal
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- Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics)
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Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) 73 (2), I_188-I_200, 2017
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390282680332292736
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- NII Article ID
- 130006555788
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- ISSN
- 21856591
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed