케이블 점검로봇을 이용한 영상기반 케이블 외관손상탐지 기법연구

• 영문명: A Cable Inspection Robot for Vision-based Damage Detection of Cable Exterior
• 발행기관: 한국방재학회
• 저자명: 호호이남 김기덕 이은찬 최준성 Ho, Hoai Nam Kim, Ki Deok Lee, Eun Chan Choi, Jun Seong
• 간행물 정보: 『3. 한국방재학회 학술대회논문집』2012년, 105~105쪽, 전체 1쪽
• 주제분류: 공학 > 기타공학
• 파일형태: PDF
• 발행일자: 2012.02.16

영문 초록

Since cable members are the major structural components in cable bridges, they should be properly inspected for surface damage as well as inside defects such as corrosion and/or breakage of wires. Starting from August 2010, a new research project supported by Korea Ministry of Land, Transportation Maritime Affairs (MLTM) was initiated to develop the cable inspection robot. In this study, only the vision-based surface damage detection system based on image processing techniques is addressed. The damage detection algorithm combines some image enhancement techniques with principal component analysis (PCA) to detect damages on cable surface. The images from three cameras attached to the cable climbing robot are wirelessly transmitted to the server computer at the cable support. They are processed with image enhancement method together with noise removal technique to improve overall image quality. Then they are projected into PCA sub-space. Finally, the Mahalanobis square distances of the projected images to all sample patterns are calculated. The smallest distance is found to be the match for the input image. The proposed damage detection algorithm was verified through laboratory tests on three types of cables.

키워드

Principal component analysis(PCA) digital image enhancement feature classification cable bridge