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A New Inspection Method for Bridge Deformation

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIP) 바로가기
  • 간행물
    International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
  • 통권
    Vol.9 No.7 (2016.07)바로가기
  • 페이지
    pp.49-64
  • 저자
    Bo Cai, Zhigui Liu, Junbo Wang, Yuyu Zhu
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A281853

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원문정보

초록

영어
The deformation of the location of structural systems is an important step to predict the performance of the system under different conditions. In bridges, the plastic deformations generally occur over a long-span beam after years of service. To improve the detection accuracy and stability of bridge deformation, in this paper, we proposed a new deformation inspecting framework. The total procedure of our algorithm may be concluded as the following three aspects. Firstly, because of the beams of bridges are very long, to improve the resolution of images, we divided the acquiring of the bridge beam image into a sequential images. Secondly, the sequential images are proposed with character point extraction, image stitching, image segmentation, and the calculation of the bridge deformation. Finally, the calculated deformation was compared with the experimental results. According to the experiments on the real bridges and the simulating model, the results indicated that our algorithm may improve the detection accurate to a large extent. At the same time, the proposed algorithm is more flexible than the former proposed algorithms.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. The Methods of Bridge Inspection
  2.2. Image Mosaicking
  2.3. Image Segmentation
 3. The Proposed Model
  3.1. Image Acquisition
  3.2. The Mosaicking of the Sequential Images
  3.3. Segment of the Beam Regions of the Sequential Image
 4. The Extraction and Measurement of the Deformation
 5. Experimental Results
 6. The Experiment of the Real Bridge Beam
 7. Conclusion
 Acknowledgements
 References

키워드

Bridge detection Beam deformation Image mosaic Image segmentation Sequential images

저자

  • Bo Cai [ Southwest University of Science & Technology, Mianyang Sichuan 621010, China, China Academy of Engineering Physics, Mianyang, Sichuan 621000, China ] Corresponding author
  • Zhigui Liu [ Southwest University of Science & Technology, Mianyang Sichuan 621010, China ]
  • Junbo Wang [ Southwest University of Science & Technology, Mianyang Sichuan 621010, China ]
  • Yuyu Zhu [ Southwest University of Science & Technology, Mianyang Sichuan 621010, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 간기
    격월간
  • pISSN
    2005-4254
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.7

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