Hyper-spectral features applied to colour shade grading tile classification

  • Authors:
  • Juan Rosell;Gabriela Andreu;Alberto Pérez

  • Affiliations:
  • Universidad Politécnica de Valencia, Disca, Valencia, Spain;Universidad Politécnica de Valencia, Disca, Valencia, Spain;Universidad Politécnica de Valencia, Disca, Valencia, Spain

  • Venue:
  • SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
  • Year:
  • 2006

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Abstract

In this paper, hyper-spectral images are employed for colour shade grading tile classification. Our goal is to design a machine vision system that can estimate the sufficient similarity of tiles, or same appearance to the human eye. We use spectral representations of colour, and spectral features to distinguish tiles of the same class but with subtle differences in their colour shade grading. A laboratory system for colour shade grading measurements is built and a method for calibrating such a system is introduced. Experiments with three classes of tiles are presented and discussed.