A MRF Approach for Interpreting Thermochromic Paint

  • Authors:
  • Affiliations:
  • Venue:
  • ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
  • Year:
  • 1998

Quantified Score

Hi-index 0.00

Visualization

Abstract

Thermochromic paint, paint that changes colour according to the maximum temperature it has experienced, has a variety of uses within the automotive industry. Currently interpretation is performed manually by a human operator. This paper addresses the task of automatic interpretation, specifically addressing problems relating to feature space ambiguity. We derive a cost function to overcome these problems and utilise this within a simulated annealing framework. The method was developed using synthetic data which models the causes of ambiguity, and results are presented for real image data derived from paint-coated industrial parts.