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Objective Comparison of Contour Detection in Noisy Images

  • Rodrigo Pavez
  • Marco Mora
  • Paulo Gonzalez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7042)

Abstract

The constant appearance of new contour detection methods makes it necessary to have accurate ways of assessing the performance of these methods. This paper proposes an evaluation method of contour detectors for noisy images. The method considers the computation of the optimal threshold that produces a greater approximation to the ground truth and the effect produced by the noise. Both analyzed dimensions allow objective comparisons of the performance of contour detectors.

Keywords

Ground Truth Performance Function Active Contour Optimal Threshold Noisy Image 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rodrigo Pavez
    • 1
  • Marco Mora
    • 1
  • Paulo Gonzalez
    • 1
  1. 1.Les Fous du Pixel Image Processing Research Group Department of Computer ScienceCatholic University of MauleTalcaChile

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