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영상처리를 이용한 피로하중을 받는 복합재료 시편의 손상면적 탐지 KCI 등재

Area Detection of Damaged Composite Specimen under Fatigue Loading using Image Processing Technique

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복합신소재구조학회 논문집 (Journal of the Korean Society for Advanced Composite Structures)
한국복합신소재구조학회 (Korean Society for Advanced Composite Structures)
초록

In this study, we studied the damage area detection of the composite tension specimens under fatigue loading by using image processing techniques. The aim of this study is to detect the area of the damage region on the basis of original image. Basically we have used Matlab program. This study analyzed a total of six specimens under cyclic loading and the results using a user algorithm and analysis procedures of step 7. The damaged area was well detected except 3,000 cyclic loading. Accuracy of damage area detection is determined to be excellent by 83.3%(5/6). In general, however, in order to automatically detect the damaged area must develop an algorithm for setting the number of multi-threshold automatically. This is to perform the studies in the future.

목차
1. 서 론
 2. 손상면적 탐지 절차
  2.1 Step 1 : Read Image
  2.2 Step 2 : Multilevel Image Thresholds
  2.3 Step 3 : Binarization for SearchingBoundaries
  2.4 Step 4 : Trace Region Boundaries
  2.5 Step 5 : Search Damage Region
  2.6 Step 6 : Fill Region
  2.7 Step 7 : Overlay over the Original Image
 3. 해석 예 및 결과 분석
 4. 요약 및 결론
 REFERENCES
저자
  • 손병직(건양대학교 해외건설플랜트학과 교수) | Son Byung-Jik
  • 정대석(중부대학교 토목공학과 교수) | Jung Dae-Suk
  • 이규환(건양대학교 해외건설플랜트학과 교수) | Lee Kyu-Hwan Corresponding author