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