Application of image edge detection methods for precise estimation of the standard surface roughness parameters: Polypropylene/ethylene-propylene-diene-monomer blend as a case study

•A method is proposed for surface roughness evaluation based on image processing.•Five classical image edge detection methods and ten image resolutions are used.•Laplacian of Gaussian is the best edge detection method for roughness estimation.•The most accurate results are obtained from 200 and 800...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation 2019-05, Vol.138, p.80-90
Hauptverfasser:	Ghodrati, Sajjad, Mohseni, Mohsen, Gorji Kandi, Saeideh
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bedding Correlation coefficients Edge detection Ethylene Feasibility studies Image detection Image processing Low speed Machine vision Mathematical models Measurement Monomers Optics Parameters Polypropylene PP/EPDM Profilometers Propylene Roughness Styli Surface roughness
Online-Zugang:	Volltext
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