A new method for important points extraction

  • Authors:
  • Dimitar Tyanev;Yulka Petkova

  • Affiliations:
  • Technical University of Varna;Technical University of Varna

  • Venue:
  • CompSysTech '04 Proceedings of the 5th international conference on Computer systems and technologies
  • Year:
  • 2004

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Abstract

Template matching is one of the most important problems in the vision industry. This problem is solving by many different ways, but along with the requirements of high reliability, there are high requirements of run-time decreasing. One of the ways to speed-up the processing is to reduce the number of points (pixels) which take part into the calculations. We propose a new method for important points extraction, based on the equipotential surfaces. By the properly potential threshold these surfaces give a possibility to extract the elements of searched subset of points, which are in conformity with the criterion of D-optimality. The successful fulfillment of this extraction can be made by the properly conditions. For this purpose we propose a method for nonlinear interval transformation of the color function. This transformation leads to the image contrast improvement and thence to the more easily determination of the coordinates (x,y), corresponding to the intersected points of the relief with the surface of the properly chosen potential.