서지주요정보
화상처리 기법과 신경회로망을 이용한 콘크리트 표면 균열 검출 시스템 개발 = Development of detecting system for concrete surface cracks using image processing and artificial neural network
서명 / 저자 화상처리 기법과 신경회로망을 이용한 콘크리트 표면 균열 검출 시스템 개발 = Development of detecting system for concrete surface cracks using image processing and artificial neural network / 이방연.
저자명 이방연 ; Lee, Bang-Yeon
발행사항 [대전 : 한국과학기술원, 2004].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8015106

소장위치/청구기호

학술문화관(문화관) 보존서고

MCE 04011

휴대폰 전송

도서상태

이용가능

대출가능

반납예정일

초록정보

Cracks in concrete structures should be measured periodically to assess potential problems in durability and serviceability. Conventional crack measure- ment systems depend on visual inspections and manual measurements of the crack features such as width, length, and direction using microscope and crack gage. However, conventional methods take time as well as manpower, and lack quantitative objectivity resulted by inspector. In addition, these have difficulties in measuring inaccessible surface cracks. In this study, a measuring and analyzing system for concrete surface cracks is developed by employing a CCD(Charge Coupled Device) camera in combination with image processing and artifical neural network. This system consists of three major parts: (1) crack extraction, which can easily detect fine cracks using improved algorithm on the basis of binarization and shape analysis, (2) crack analysis, which is mainly focussed on calculating width, length, and direction of extracted crack image, and (3) pattern recognition, which is able to classify cracks into five types including horizontal, vertical, -45°-diagonal, +45°-diagonal, and random cracks using MLP(Multi- Layer Perceptron) model. To examine validity of the system developed in this study, crack analyzing tests are performed on the images obtained from various types of concrete surface cracks. The test results revealed that the system is highly effective in automatically analyzing concrete surface cracks in terms of features and patterns of cracks.

서지기타정보

서지기타정보
청구기호 {MCE 04011
형태사항 vi, 57 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Bang-Yeon Lee
지도교수의 한글표기 : 김진근
지도교수의 영문표기 : Jin-Keun Kim
학위논문 학위논문(석사) - 한국과학기술원 : 건설및환경공학과,
서지주기 참고문헌 : p. 55-57
주제 화상처리
신경회로망
콘크리트
균열
검출
IMAGE PROCESSING
NEURAL NETWORK
CONCRETE
CRACK
DETECTION
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