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Fractal Dimension Analysis and Statistical Processing of Paper Surface Images Towards Surface Roughness Measurement.
- Source :
- Image Analysis; 2005, p1218-1227, 10p
- Publication Year :
- 2005
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540263203
- Database :
- Complementary Index
- Journal :
- Image Analysis
- Publication Type :
- Book
- Accession number :
- 32717995
- Full Text :
- https://doi.org/10.1007/11499145_123