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Defect detection on leather by oriented singularities

  • A. Branca
  • F. P. Lovergine
  • G. Attolico
  • A. Distante
Low Level Processing I
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1296)

Abstract

This paper presents a system for leather inspection based upon visual textural properties of the material surface. Defects are isolated from the complex and not homogeneous background by analyzing their strongly oriented structure. The patterns to be analyzed are represented in an appropriate parameter space using an optimization approach: in this way a parameter vector is associated to each different textured region in the original image. Finally a filter process, based upon knowledge about the parameter vectors representing the leather without defects, detects and classifies any abnormality.

Subject terms

leather inspection texture analysis texture classification oriented structures parameter space vectorial bases 

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References

  1. 1.
    A.Branca, M.Tafuri, G.Attolico, A.Distante “Directionality Detection in Compositional Textures” International Conference on Pattern Recognition, August 1996.Google Scholar
  2. 2.
    R.Rao and B.G.Schunk, Computing oriented texture fields CVGIP: Graphical Models Image Processing 53 (1991) 157–185.CrossRefGoogle Scholar
  3. 3.
    Mallat, S. and Hwang, W.L. “Singularity Detection and Processing with Wavelets”, Technical Report March 1991.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • A. Branca
    • 1
  • F. P. Lovergine
    • 1
  • G. Attolico
    • 1
  • A. Distante
    • 1
  1. 1.Istituto Elaborazione Segnali ed Immagini - CNRBariItaly

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