Fractal Dimension Analysis and Statistical Processing of Paper Surface Images Towards Surface Roughness Measurement

  • Toni Kuparinen
  • Oleg Rodionov
  • Pekka Toivanen
  • Jarno Mielikainen
  • Vladimir Bochko
  • Ate Korkalainen
  • Juha Parviainen
  • Erik Vartiainen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

In this paper we present a method for optical paper surface roughness measurement, which overcomes the disadvantages of the traditional methods. Airflow-based roughness measurement methods and profilometer require expensive special equipment, essential laboratory conditions, are contact-based and slow and unsuitable for on-line control purposes methods. We employed an optical microscope with a built-in CCD-camera to take images of paper surface. The obtained image is considered as a texture. We applied statistical brightness measures and fractal dimension analysis for texture analysis. We have found a strong correlation between the roughness and a fractal dimension. Our method is non-contact–based, fast and is suitable for on-line control measurements in the paper industry.

Keywords

Fractal Dimension Paper Sample Paper Surface Coated Paper Fractal Dimension Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Toni Kuparinen
    • 1
  • Oleg Rodionov
    • 1
  • Pekka Toivanen
    • 1
  • Jarno Mielikainen
    • 1
  • Vladimir Bochko
    • 1
  • Ate Korkalainen
    • 2
  • Juha Parviainen
    • 2
  • Erik Vartiainen
    • 2
  1. 1.Department of Information Technology 
  2. 2.Laboratory of PhysicsLappeenranta University of TechnologyLappeenrantaFinland

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