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
- 학술대회자료
- 저자정보
- 발행연도
- 2020.10
- 수록면
- 125 - 128 (4page)
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초록· 키워드
오류제보하기
The cracks on pressed metal panel surface present different characteristics, such as clear edge and sharp tip, compared to the concrete cracks. The presence of such cracks can cause considerable reduction of strength especially on the thin panel products. In this paper, a fast crack detection technique using a normal web camera is proposed for the pressed panel on the highly automated manufacturing line. The edge line of a captured panel is extracted and evaluated by applying a unique edge line evaluation. Cracks are identified by the measured acute angle of the certain part of the edge line. Light control and valley-emphasis Otsu algorithm are used to reduce the effect of environment lights. A two-stage detection strategy is developed to further improve the efficiency of the proposed technique, which performs the detection at both high resolution and low resolution. Experiments are conducted on a conveyor belt for the panel transferring. It is shown that the proposed technique could detect surface cracks on pressed panels with high accuracy and efficiency.
목차
Abstract
1. INTRODUCTION
2. IMAGE PROCESSING-BASED CRACK DETECTION
3. EXPERIMENT VALIDATION
4. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2020-003-001570882