Image analysis and synthesis using physics-based-modeling for pearl quality evaluation system

  • Noriko Nagata
  • Toshimasa Dobashi
  • Yoshitsugu Manabe
  • Teruo Usami
  • Seiji Inokuchi
Session 12: Miscellaneous Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

Analysis by image synthesis using CG has attracted wide attention in machine vision. This paper proposes a method of modeling and synthesizing pearls that will be the central technique of a pearl quality evaluation system. Pearls manifest a specific optical phenomenon that is not dependent on the direction of the light source. To investigate this feature, we propose a physical model for multilayer film interference called an “illuminant model.” The synthesis algorithm has been configured from such representations of physical characteristics as interference, mirroring and texture which correspond to the main evaluation factors obtained from human experts. Further, portions of photos of real pearls and the synthesized images were analyzed based on a scale of psychological evaluation of “pearl-like quality” demonstrating thereby that the generated images can present such a pearl-like quality.

Keywords

Specular Reflection Interference Color Point Light Source Nacreous Layer Interference Light 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Noriko Nagata
    • 1
  • Toshimasa Dobashi
    • 2
  • Yoshitsugu Manabe
    • 2
  • Teruo Usami
    • 1
  • Seiji Inokuchi
    • 2
  1. 1.Industrial Electronics & Systems LaboratoryMitsubishi Electric CorporationAmagasakiJapan
  2. 2.Department of Systems EngineeringOsaka UniversityToyonakaJapan

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