• DocumentCode
    2226115
  • Title

    A system for automated visual inspection of ceramic tiles

  • Author

    Desoli, G.S. ; Fioravanti, S. ; Fioravanti, R. ; Corso, D.

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
  • fYear
    1993
  • fDate
    15-19 Nov 1993
  • Firstpage
    1871
  • Abstract
    The paper deals with an image processing system for visual inspection of ceramic tiles aimed at automated surface quality analysis. Such a system is currently under development within a project devoted to defining and implementing an advanced equipment for high-resolution color-image acquisition, based on a newly developed sensor, implementing an appropriate image analysis algorithm for color measurement, texture characterization, and defect detection in ceramic tiles, and integrating them into an automated inspection system. Results show that good performances in defects detection can be obtained by using a set of adaptive rank-order filters driven by some local features, such as anisotropy or local business, even when textured tiles are concerned
  • Keywords
    adaptive filters; automatic optical inspection; ceramic industry; image segmentation; image texture; adaptive rank-order filters; anisotropy; automated surface quality analysis; automated visual inspection; ceramic tiles; color measurement; defect detection; high-resolution color-image acquisition; image analysis algorithm; image processing system; local business; local features; texture characterization; textured tiles; Ceramics; Image analysis; Image color analysis; Image processing; Image sensors; Image texture analysis; Inspection; Sensor phenomena and characterization; Sensor systems; Tiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
  • Conference_Location
    Maui, HI
  • Print_ISBN
    0-7803-0891-3
  • Type

    conf

  • DOI
    10.1109/IECON.1993.339359
  • Filename
    339359