Fused Illumination Mechanism Design for Steel Plate Surface Inspection

철강 후판의 표면 검사를 위한 융합조명계 설계

  • Cho, Eun Doek (Graduate school, Korea National University of Transportation) ;
  • Kim, Gyung Bum (Aeronautical & Mechanical Design Engineering, Korea National University of Transportation)
  • 조은덕 (한국교통대학교 대학원) ;
  • 김경범 (한국교통대학교 기계자동차항공공학부)
  • Received : 2017.08.03
  • Accepted : 2017.09.22
  • Published : 2017.09.30


In this paper, a fused illumination mechanism for detecting surface defects in steel plates was designed by applying the discriminant function that can differentiate the contrast of defects and non-defects. There is low contrast, non-uniformity, and no feature characteristics in steel plate surfaces. The fused illumination mechanism is devised, based on those characteristics. Optimum parameters of the fused illumination mechanism are determined by applying the discriminant function after acquiring the defect image in steel plate surfaces. The performance of the proposed mechanism is verified by experminets.



Supported by : 한국연구재단


  1. Bae, H. M., Park, C. H., Yun, J. P. and Choi, S. H., "Optic Method for Surface Defect Inspection of Cold Strip", Journal of Institute of Control, Robotics and Systems, pp.61-64, 2014.
  2. Nirbhar Neogi, Dusmanta K Mohanta, Pranab K Dutta, "Review of vision-based steel surface inspection systems", EURASIP Journal on Image and Video Processing, pp.1-5, 2014.
  3. Kim, S. J., Cho, E. D., Kim, G. B., "Surface defect analysis of steel plate and investigation of illumination parameters for surface inspection", Proceedings of IPIU 2017, 2017.
  4. Moon, C. I., Choi, S. H., Joo, W. J., Kim, K. B. and Kim, C. H., "Development of a Neural Network Classifier for the Classification of Surface Defects of Cold Rolled Strips", Journal of Korean Society of Precision Engineering, Vol.24, No.4, pp. 79, 2007.
  5. Kim, D. I., Lee, S. H., Kim, K. B., "Development of Plate Surface Defect Detection Technique using Image Processing", Journal of ICROS, Vol.30, pp.447-448, 2015.
  6. Do, L. N., Yang, H. J., "Classification of Cognitive States from MRI data using Fisher Discriminant Ratio and Regions of Interest", International Journal of Contents, Vol.8, No.4, pp.3-4, 2012.
  7. Lee, S. H., Kim, J. H., Choi, B. T., Ko, S. J., "Autofocusing Algorithm for Video Camera using the Difference of Medians", Journal of KICS, Vol.23, No.1, pp.41-51, 1998.