A Fuzzy Logic Based Method for Edge Detection

Authors

  • C. Suliman Transilvania University of Brasov, Romania
  • C. Boldisor Transilvania University of Brasov, Romania
  • R. Bazavan Politehnica University of Bucuresti, Romania
  • F. Moldoveanu Transilvania University of Brasov, Romania

Keywords:

fuzzy logic, fuzzy classifier, computer vision, edge detection, morphological skeleton

Abstract

In this paper, we present a method for detecting edges in grayscale images. The method is based on the use of a fuzzy classifier. The difference between our method and other similar methods is the use of a morphological operation to thin the obtained edges. Our entire algorithm was implemented in the development/simulation environment called Matlab. The experiments have shown promising results, we have obtained the desired thickness of the edges.

Author Biographies

C. Suliman, Transilvania University of Brasov, Romania

Dept. of Automatics

C. Boldisor, Transilvania University of Brasov, Romania

Dept. of Automatics

R. Bazavan, Politehnica University of Bucuresti, Romania

Dept. of Telecommunications and Information Technology

F. Moldoveanu, Transilvania University of Brasov, Romania

Dept. of Automatics

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Published

2011-07-09

Issue

Vol. 4(53) No. 1 (2011)

Section

ELECTRICAL ENGINEERING, ELECTRONICS AND AUTOMATICS