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Computer Vision Based Non-Contact Surface Roughness Assessment Using Wavelet Transform and Response Surface Methodology

Summary: [This abstract is based on the authors' abstract.]A non-contact measurement approach in characterizing manufactured surfaces is described. Computer vision is used to capture digital images of steel specimen surfaces from shaping, grinding, and polishing processes. Multiresolution wavelet decomposition is used to obtain signatures of surface profiles from the digital images, and the relationships between these signatures and surface roughness parameters are built by response surface methodology. The proposed method is suitable for on-line, real-time surface roughness inspection when specimens of known surface roughness are available.

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  • Topics: Process Management
  • Keywords: Computer models,Computer-aided systems,Manufacturing process,Response surface methodology (RSM),Surface finish,Visual methods
  • Author: Chang, Shing I.; Ravathur, Jayakumar S.
  • Journal: Quality Engineering