• DocumentCode
    3156717
  • Title

    A comparison of methods for the detection of surface glaze faults on ceramic tableware products

  • Author

    Finney, G.B. ; Gomm, J.B. ; McTavish, J.P. ; Williams, D. ; Atkinson, J.T.

  • Author_Institution
    Liverpool John Moores Univ., UK
  • fYear
    1995
  • fDate
    4-6 Jul 1995
  • Firstpage
    430
  • Lastpage
    434
  • Abstract
    A common fault on glazed ceramic tableware is the surface glaze fault known as cut-glaze. It is proposed to use an image capture technique involving a structured light source to emphasise these faults. This method gives roughly circular patterns around the faults. A number of methods are investigated for the subsequent detection of the faults. These are: correlation, the Hough transform and neural network pattern recognition. Results are presented and conclusions drawn
  • Keywords
    Hough transforms; automatic optical inspection; correlation methods; image recognition; image sampling; neural nets; AOI; Hough transform; ceramic tableware products; circular patterns; correlation; cut-glaze; image capture technique; neural network pattern recognition; structured light source; surface glaze faults;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing and its Applications, 1995., Fifth International Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    0-85296-642-3
  • Type

    conf

  • DOI
    10.1049/cp:19950695
  • Filename
    465494