Detection of grinding surface's quality based on image technique

Xianli Liu, Chunya Wu, Yizhi Liu, Fugang Yan, Yufu Li, Peng Wang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Aiming at different grinding surfaces of hardened bearing steel GCr15, this paper made experimental research on detection method of surface roughness based on image technique. Adopting cold light source and five kinds of LED light sources, such as low-angle light, collimated light and coaxial light, we analyzed image characteristics of grinding surface under different processing conditions and found that there was a good correlation between standard deviation of gray variance and roughness of grinding surface. In comparison with the results from traditional surface roughness measuring instrument, we gained the corresponding relation between different grinding surface roughness and standard deviation of image gray variance. It was proved by calculating that they have a good correlativity.

Original languageEnglish
Pages (from-to)499-503
Number of pages5
JournalKey Engineering Materials
StatePublished - 2008
Externally publishedYes


  • GCr15
  • Grinding surface roughness
  • Image detection
  • LED
  • Standard deviation of gray variance


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