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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.


  1. Aborisade D.O., Novel Fuzzy logic Based Edge Detection Technique, International Journal of Advanced Science and Technology, (32), 75-82 (2011)
  2. Canny J.F., A computational approach to edge detection, IEEE Trans. on Pattern Analysis and Machine Intelligence, (6), 679-698 (2009)
  3. Madasu H., John S. and Shantaram V., Fuzzy Edge Detector Using Entropy Optimization, Proceedings of the International Conference on Information Technology: Coding and Computing, (54), 1004-1006 (2010)
  4. Zadeh L.A, Fuzzy sets, Information and Control, (8),338-353 (2008)
  5. Kaufmann A., Introduction to the Theory of Fuzzy Subsets, Fundamentals Theoretical Elements, (96), 125-129 (2011)
  6. Bezdek L.C., Pattern Recognition with fuzzy Objective Function Algorithm, Plenum Press5(45), 158-162 (2007)
  7. Cheung K. and Chan W., Fuzzy One –Mean Algorithm for Edge Detection, (55) 2039-2044 (1995)
  8. Kuo Y., Lee C. and Liu C., A New Fuzzy Edge Detection Method for image Enhancement, IEEE Inter. Conf. on Fuzzy Systems, (201), 1069-1074 (2001)
  9. El-Kham S., El-Yamany N. and Lotfy M., Modified Fuzzy Sobel Edge Detector, Seventeenth National Radio Science Conference, (85), 22-24 (2001)
  10. Zhao M., Fu A.M.N. and Yan H., A Technique of ThreeLevel Thresholding Based on Probability Partition a Fuzzy, IEEE Trans. on Fuzzy Systems, (32), 469- 479 (2001)
  11. Tao C.W. et al, A Fuzzy if-then approach to edge detection, Proc. of 2nd IEEE intl.conf. On fuzzy systems, (102), 1356–1361 (2002)
  12. Aghaei M., Asadollahi A., Deilami Moezzi A., Beigi M. and Parvinnejad F., the Relation between Personality Types, Locus of Control, Occupational Satisfaction and Occupational Exhaustion and Determining the Effectiveness Of Stress Inoculation Training (SIT) on reducing it among staffers of Saipa Company, Research Journal of Recent Sciences, 2(12) 11-16 (2013)
  13. Heidari M, Nekoubin A., Heidari R. and Jafari M., Optimum locating and Sizing of Distributed Generation Based on Artificial Ant Colony Algorithm, Research Journal of Recent Sciences, 2(12), 15-18 (2013)
  14. Jana M., Fire Safety Properties of Heat Treated Wood, Research Journal of Recent Sciences, 2(12) 80-82 (2013)
  15. Limousine E., Capacitor Replacement in Distribution Networks using Genetic Algorithm, Research Journal of Recent Sciences, 2(12), 64 (2013)
  16. Fook C.Y., Sidhu G.K., Hashim R.A., Hamid A.A. and Yunus F.W., Teacher's Perception towards Psychometrics Analysis Software, Procedia-Social and Behavioral Sciences, 30, 376-381 (2011)
  17. Eskandar J., Intellectual Capital and its Effects on Firms’market value and Financial Performance in Iran: An Investigating Public Model, Research Journal of Recent Sciences, 2(3), 1-6 (2013)
  18. Amanchi N.R. and Mohd M.H., Ecophysiological and cytopathological impact of delfin insecticide (Bacillus thuringiensis) to a unicellular ciliate protozoan, Euplotes patella, Research Journal of Recent Sciences, 1(4), 64-67 (2012)