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Detection and Enhancement of Image Edges through Fuzzy Logic

Author Affiliations

  • 1Young Researchers and Elite Club, Ardabil Branch Azad Islamic University, Ardabil, IRAN
  • 2University of mohagheghardabili, Faculty of agricultural technology and Natural resources, Ardabil, IRAN
  • 3 K.N. Toosi University of Technology of Tehran, Tehran, IRAN
  • 4Islamic Azad University of International unit of Jolfa, East azarbyjan, IRAN

Res. J. Recent Sci., Volume 4, Issue (10), Pages 72-76, October,2 (2015)


Detecting edge is one of the important concepts in image processing that is possible via marking points of image, in which light intensity changes suddenly. Usually, these sharp changes in image characteristics indicate significant events and changes in environment characteristics. Therefore, this study aims to detect and retouch image edges by fuzzy logic. Existence of additional points and lines is one of the important disadvantages of different methods of edge detection. This disadvantage causes difficulties in detecting edge. In recommended method by fuzzy adjustment of images, the additional lines and points are removed in edge detection results, weak edges are reinforced, and important edges are extracted. In order to identify the additional points and lines and weak edges in edge detection, some rules have been defined in fuzzy rule base. Finally, comparison of extracted edges with fuzzy adjustment method and other methods indicated that edge detection by the fuzzy adjustment method (recommended by this paper) is more effective than other methods in edge detection.


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