Measurement of surface roughness of metals using binary speckle image analysis

Kayahan E., Oktem H., Hacizade F., Nasibov H., Gundogdu Ö.

TRIBOLOGY INTERNATIONAL, vol.43, pp.307-311, 2010 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 43
  • Publication Date: 2010
  • Doi Number: 10.1016/j.triboint.2009.06.010
  • Journal Name: TRIBOLOGY INTERNATIONAL
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.307-311
  • Keywords: Surface roughness, Speckle images, Statistical image analyses of binary images
  • Kocaeli University Affiliated: Yes

Abstract

In this paper, results from an optical technique for measuring surface roughness using image analysis of speckle pattern images are presented. The technique coined as statistical properties of binary images (SPBI) utilizes the combined effects of speckle and scattering phenomena. The speckle patterns obtained with a He-Ne laser were binarized and examined. The parameters such as bright and dark regions and their ratios obtained from this model to evaluate the surface roughness were compared with the surface roughness parameter R(a) obtained from a profilometer. it was found that there is a strong relationship between these parameters and R(a), especially in the range of lambda