SURFACE INSPECTION AND SEGMENTATION BASED ON LOCAL REFLECTIVITY PROPERTIES

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Abstract

Image processing based surface inspection systems operate on various clues derived froma wide range of surface characteristics like gray–level values, color hues, polarization features, clues from stereoscopic views to name just a few. In this work we present image processing algorithms that allow an image segmentation on the characteristics the local reflection indicatrix is able to provide. Surface areas can be segmented into specular or diffusely reflecting zones as well as in zones determined by the direction of the local surface normal.
Original languageEnglish
Title of host publicationVisualization, Imaging And Image Processing
Number of pages6
Publication statusPublished - 2006

Fields of science

  • 101014 Numerical mathematics
  • 102003 Image processing
  • 103021 Optics
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202012 Electrical measurement technology
  • 202014 Electromagnetism
  • 202015 Electronics
  • 202016 Electrical engineering
  • 202021 Industrial electronics
  • 202022 Information technology
  • 202024 Laser technology
  • 202027 Mechatronics
  • 202036 Sensor systems
  • 202037 Signal processing
  • 202039 Theoretical electrical engineering
  • 203016 Measurement engineering
  • 211908 Energy research

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