I propose an algorithm to detect defects in the production of wire mesh using computer image processing. The process is explained as follows, First reading consecutive frames coming through the camera, then the preprocessing process is performed. Second calculate the absolute difference between the two images to distinguish the moving wire mesh from the unnecessary background image. Third based on the past moving data of the welded wire mesh, predict and track future movement. As a result of observing the samples of some defective welded wire mesh products, it was confirmed that the horizontal line of the defective wire mesh had a higher height value of the tracked wire netting. Therefore it is possible to judge whether there is a defect or not at the same time without any additional process to judge. Finally, shear strength test were performed on the welds determined to be normal products by the algorithm proposed in this paper, so that I could verify the reliability and validity of the proposed algorithm.
목차
ABSTRACT 1. 서론 2. 연구 이론 2.1 Gaussian Filter 2.2 영상 산술연산 2.3 영상의 엣지 검출 2.4 Morphology 3. 연구내용 3.1 용접 철망 3.2 용접 철망의 불량 검출 실험 연구 4. 실험 결과 및 분석 4.1 용접 철망 불량 검출 4.2 용접 불량 검출 시험에 통과한 용접부 샘플 용접점 전단강도 테스트 5. 결론 References
키워드
알고리즘가우시안 필터형태학용접 철망전단강도시험AlgorithmGaussian filterMorphologyWelded wire meshShear strength test
저자
최우석 [ Woo-Suck Choi | Ph. D. candidate in departmentof Mechanical & Biomedical Engineering, Gangneung-Wonju National University ]
Corresponding Author
박재현 [ Jae-Hyun Park | Master-abschluss degree in departmentof Biomedical Convergence Engineering Graduate School,Gangneung-Wonju National University ]
Corresponding Author
이원섭 [ Won-Seub Lee | Member, Professor, School of Mechanical and Automotive Engineering, Gangneung-Wonju National University ]