소형 다품종 파이프의 실시간 성형불량 검사 시스템에 관한 연구

A Study on the Forming Failure Inspection of Small and Multi Pipes

  • 김형석 (울산대학교 기계·자동차공학과) ;
  • 이회명 (울산대학교 기계·자동차공학과) ;
  • 이병룡 (울산대학교 기계·자동차공학과) ;
  • 양순용 (울산대학교 기계·자동차공학과) ;
  • 안경관 (울산대학교 기계·자동차공학과)
  • 발행 : 2004.11.01

초록

Recently, there has been an increasing demand for computer-vision based inspection and/or measurement system as a part of factory automation equipment. Existing manual inspection method can inspect only specific samples and has low measuring accuracy as well as it increases working time. Thus, in order to improve the objectivity and reproducibility, computer-aided analysis method is needed. In this paper, front and side profile inspection and/or data transfer system are developed using computer-vision during the inspection process on three kinds of pipes coming from a forming line. Straight line and circle are extracted from profiles obtained from vision using Laplace operator. To reduce inspection time, Hough Transform is used with clustering method for straight line detection and the center points and diameters of inner and outer circle are found to determine eccentricity and whether good or bad. Also, an inspection system has been built that each pipe's data and images of good/bad test are stored as files and transferred to the server so that the center can manage them.

키워드

참고문헌

  1. Otsu, N., 'A Threshold seleciton Method from Gray Level Histograms,' IEEE Trans. Syst. Man Cybernet., Vol. SMC-9, pp. 62-66, 1979
  2. Park, H. J., Hwan, Y. M., 'Dimensional Measurement Using the Machine Vision,' KSPE, Vol. 18, No. 3,pp.l0-17,2001
  3. Maitre, H., 'Contribution to the prediction of prediction of performance of the Hough transform,' IEEE Trans. On Patten Analysis and Machine Intelligence., PAMI-8. 5, 1986 https://doi.org/10.1109/TPAMI.1986.4767840
  4. Braggins, D. W., 'Image processing for industrial applications in Europe,' Proceedings of the 5th International Conference on Robot Vision and Sensory Control. pp. 13-23
  5. Persoon, E., 'A Pipelied Analysis System Using Custom Integrated Circuits,' IEEE On Patten Analysis and Machine Intelligence, Vol. 10. No. 1, pp. 110-116,1988 https://doi.org/10.1109/34.3874
  6. Gotoh, T., Toriu, T., Sasaki, S., 'A Flexible Vision-Based Algorithm for a Book Sorting System,' IEEE On Patten Analysis and Machine Intelligence, Vol. 10, No. 3, pp. 393-399, 1988 https://doi.org/10.1109/34.3903
  7. Shapiro, S. D., 'Transform for the Computer Detection of Curves in Noisy Picture,' Comp. Gragpics Image Process. 4, pp. 328-338. 1975 https://doi.org/10.1016/0146-664X(75)90002-7
  8. Ballad, D. H., 'Generalizing the Hough Transform to Detect Arbitrary shapes,' Pattern Recongniton, 13, pp. 111-121, 1981 https://doi.org/10.1016/0031-3203(81)90009-1
  9. Leavers, V. F., 'The dynamic Generalized Hough Transform,' First ECCV conf. Antibes, France, 1990
  10. Califano, A., Tayler, R. W., 'A new approach to complex Parameter Feature Extraction,' IEEE On Patten Analysis and Machine Intelligence, pp. 192-199, 1989 https://doi.org/10.1109/CVPR.1989.37849