지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.7 No.6
- 발행연도
- 2018.12
- 수록면
- 440 - 447 (8page)
- DOI
- 10.5573/IEIESPC.2018.7.6.440
이용수
초록· 키워드
오류제보하기
Image processing and computer vision techniques have been utilized for safety and maintenance in the railway field. Although a lot of research has been proposed to automatically inspect a facility, most diagnosis for facility maintenance is still dependent on a manager’s subjective judgment. This paper presents a novel railway-inspection system using object detection and image subtraction based on registration. For accurate deformation and defect inspection, the proposed system compares a pair of two high-resolution images acquired by a laser scan camera equipped on a railway vehicle. The proposed system consists of three parts: i) object detection using classifiers learned by random forest, ii) facility position alignment using phase correlation matching, and iii) deformation and defect detection using image registration and subtraction. The proposed inspection system performs automatic inspections by detecting facilities and any deformed regions. Therefore, the proposed system can provide improvement of a maintenance system at a cost reduction.
목차
Abstract
1. Introduction
2. Facility Inspection System
3. Experimental Results
4. Conclusion
References
참고문헌 (20)
참고문헌 신청
[학술지(정기간행물)] - Y. Li / 2018 / Research on a Surface Defect Detection Algorithm Based on MobileNet-SSD / Applied Sciences 8 (9) : 1678 ~ 1694
[학술지(정기간행물)] - G. Rahaman / 2009 / Automatic Defect Detection and Classification Technique from Image:A Special Case Using Ceramic Tiles / International Journal of Computer Science and Information Security (IJCSIS) 1 (1) : 22 ~ 30
[학술지(정기간행물)] - A. Mohan / 2018 / Crack Detection Using Image Processing: A Critical Review and Analysis / Alexandria Engineering Journal 57 (2) : 787 ~ 798
[학술대회논문] - S. Ren / 2015 / Circuit Board Defect Detection Based on Image Processing / Proc. 8th International Congress on Image and Signal Processing (CIPS 2015) : 899 ~ 903
[학술지(정기간행물)] - S. Jovanović / 2014 / Railway Infrastructure Condition-Monitoring and Analysis as a Basis for Maintenance Management / Građevinar 66 (4) : 347 ~ 358
[학술지(정기간행물)] - G. Rahaman / 2009 / Automatic Defect Detection and Classification Technique from Image:A Special Case Using Ceramic Tiles / International Journal of Computer Science and Information Security (IJCSIS) 1 (1) : 22 ~ 30
[학술지(정기간행물)] - A. Mohan / 2018 / Crack Detection Using Image Processing: A Critical Review and Analysis / Alexandria Engineering Journal 57 (2) : 787 ~ 798
[학술대회논문] - S. Ren / 2015 / Circuit Board Defect Detection Based on Image Processing / Proc. 8th International Congress on Image and Signal Processing (CIPS 2015) : 899 ~ 903
[학술지(정기간행물)] - S. Jovanović / 2014 / Railway Infrastructure Condition-Monitoring and Analysis as a Basis for Maintenance Management / Građevinar 66 (4) : 347 ~ 358
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UCI(KEPA) : I410-ECN-0101-2019-569-000333369