Real-time image texture analysis in quality management using grid computing: an application to the MDF manufacturing industry

  • A. J. Sánchez Santiago
  • A. J. Yuste
  • J. E. Muñoz Expósito
  • Sebastian García GalánEmail author
  • R. P. Prado
  • J. M. Maqueira
  • S. Bruque
Original Article


Computer vision has arisen as one of the most important application areas in manufacturing processes. This work shows a new real-time texture analysis for medium-density fiberboard with melamine paper, using edge detection techniques and threshold detection methods. To minimize the time of identification of defects, the images of fiberboard are sent to a grid system. In a first phase, several tests are carried out using different image resolutions and sizes. In a second phase, to optimize the system, with the best resolution obtained and using a grid system, our aim is to minimize the time of detection of possible defects without jeopardizing the performance of the quality control system. Results show that, using accurate resolutions, the error detection process is quicker and the defect identification rate significantly improves.


Grid computing Computer vision Texture analysis Edge detection 


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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • A. J. Sánchez Santiago
    • 1
  • A. J. Yuste
    • 1
  • J. E. Muñoz Expósito
    • 1
  • Sebastian García Galán
    • 1
    Email author
  • R. P. Prado
    • 1
  • J. M. Maqueira
    • 1
  • S. Bruque
    • 1
  1. 1.Telecommunication Engineering DepartmentUniversidad de JaénLinaresSpain

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