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Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs

Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs

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This work presents two image-based inspection approaches for the quality evaluation of cylinder bore surfaces. In the first algorithm, metal folds on plateau-honed surfaces are inspected with scanning electron microscopy. An edge-aware structure tensor is proposed for feature extraction and localization of surface defects. The second algorithm uses a morphgraphical method for detecting graphite grains in optical micrographs. Based on the inspection results, quality parameters are proposed.

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Keywords

  • automated vision inspection
  • Automatische Sichtprüfung
  • Bildverarbeitung
  • edge detection
  • Honung
  • Image processing
  • Kantendetektion
  • micrograph
  • Mikrographhoning
  • Technology, engineering, agriculture
  • Technology: general issues

Links

DOI: 10.5445/KSP/1000041878

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