A New Edge Detector Based on Uninorms

نویسندگان

  • Manuel González Hidalgo
  • Sebastià Massanet
  • Arnau Mir
  • Daniel Ruiz-Aguilera
چکیده

A new fuzzy edge detector based on uninorms is proposed and deeply studied. The behaviour of different classes of uninorms is discussed. The obtained results suggest that the best uninorm in order to improve the edge detection process is the uninorm Umin, with underlying Lukasiewicz operators. This algorithm gets statistically substantial better results than the others obtained by well known edge detectors, as Sobel, Roberts and Prewitt approaches and comparable to the results obtained by Canny.

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تاریخ انتشار 2014