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Bridge Surface Crack Detection Method under Multi-Scale and Multi-Perspective
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- 발행기관
- 보안공학연구지원센터(IJSH) 바로가기
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- 간행물
- International Journal of Smart Home 바로가기
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- 통권
- Vol.10 No.3 (2016.03)바로가기
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- 페이지
- pp.119-130
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A270960
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- According to the modern bridge health assessment and testing methods, compared with the traditional manual test to determine fracture, detection method based on digital image which applies digital image processing and pattern recognition technology to test and assess the bridge surface defect images has the characteristics of non-contact and high precision. Taking the grey-scale feature of the crack, this paper will put forward a kind of crack detection method based on multi-scale and multi-perspective. In view of the interference factors such as the holes, dirties and the others on the concrete pavement, we should analyze the characteristics of collected road surface images, and adopt DWT and NSST to resolve the source images from multi-scale, and then establish grey value similarity function, and withdraw the suspected crack information according to the similarity of contrast; second, remove the false crack use connected component measurement, and transfer the problem into graph theory problem; last, use the approximation coefficient of NSST domain, the fusion approximate coefficient of DWT domain and fusion detail coefficients to inverse, transform and rebuild fusion images so as to extract real crack. Through a lot of tests on the concrete pavement picture, experimental results show that this method can achieve real pavement cracks feature extraction, and enjoys a strong practicability.
목차
Abstract
1. Introduction
2. Multi-Resolution Transform
2.1. Discrete Wavelet Transform
2.2. NSST (Non-Subsample Shearlet Transform)
3. Calculation of Similarity Matrix under Multi-Perspective
3.1. Similarity Function Based on Grey Value
3.2. Establishment of the Similarity Matrix
4. Bridge Surface Crack Detection Method under Multi-Scale and Multi-Perspective
5. Experiment and Analysis
5. Conclusion
Acknowledgments
Reference
저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
- 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
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- 간행물명
- International Journal of Smart Home
- 간기
- 격월간
- pISSN
- 1975-4094
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Smart Home Vol.10 No.3
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