Eurofuse 2011 pp 401-412 | Cite as

Objective Comparison of Some Edge Detectors Based on Fuzzy Morphologies

  • M. González-Hidalgo
  • S. Massanet
  • A. Mir
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 107)


In this paper a comparative analysis of several edge detectors based on diverse fuzzy morphologies is performed. In addition, two different processes in order to transform a fuzzy edge image to a thin binary edge image are studied, a recently introduced unsupervised hysteresis based on the determination of a “instability zone” on the histogram and a fuzzy Atanassov’s based threshold. The comparison is made according to some performance measures, such as Pratt’s figure of merit and the ρ-coefficient. The goodness of the employed binarization methods is studied depending on their capability to obtain the best threshold values according to these measures.


Edge Detector Edge Image Edge Pixel Objective Comparison Morphological Operator 
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

  • M. González-Hidalgo
    • 1
  • S. Massanet
    • 1
  • A. Mir
    • 1
  1. 1.Dept. of Math. and Comp. ScienceUniversity of the Balearic IslandsPalma de MallorcaSpain

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