Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 19, Issue 3 (2008)
  4. An Efficient Technique to Detect Visual ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Related articles
  • Cited by
  • More
    Article info Related articles Cited by

An Efficient Technique to Detect Visual Defects in Particleboards
Volume 19, Issue 3 (2008), pp. 363–376
Jonas Guzaitis   Antanas Verikas  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2008.218
Pub. online: 1 January 2008      Type: Research Article     

Received
1 March 2007
Accepted
1 June 2008
Published
1 January 2008

Abstract

This paper is concerned with the problem of image analysis based detection of local defects embedded in particleboard surfaces. Though simple, but efficient technique developed is based on the analysis of the discrete probability distribution of the image intensity values and the 2D discrete Walsh transform. Robust global features characterizing a surface texture are extracted and then analyzed by a pattern classifier. The classifier not only assigns the pattern into the quality or detective class, but also provides the certainty value attributed to the decision. A 100% correct classification accuracy was obtained when testing the technique proposed on a set of 200 images.

Related articles Cited by PDF XML
Related articles Cited by PDF XML

Copyright
No copyright data available.

Keywords
defect detection image analysis Walsh transform

Metrics (since January 2020)
1

Article info
views

0

Full article
views

387

PDF
downloads

141

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy