Texture Defect Detection

  • Michal Haindl
  • Jiří Grim
  • Stanislav Mikeš
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)


This paper presents a fast multispectral texture defect detection method based on the underlying three-dimensional spatial probabilistic image model. The model first adaptively learns its parameters on the flawless texture part and subsequently checks for texture defects using the recursive prediction analysis. We provide colour textile defect detection results that indicate the advantages of the proposed method.


Textile Texture Colour Texture Unsupervised Feature Selection Texture Mosaic Texture Defect 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Michal Haindl
    • 1
  • Jiří Grim
    • 1
  • Stanislav Mikeš
    • 1
  1. 1.Institute of Information Theory and Automation, Academy of Sciences CR, 182 08 PragueCzech Republic

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