Edge Detection using Artificial Bee Colony Algorithm (ABC)

Authors

  • Elif Deniz Yigitbasi and Nurdan Akhan Baykan Author

Keywords:

Image processing, edge detection methods, meta-heuristic methods, artificial bee colony (ABC) optimization.

Abstract

Edge detection methods in the field of image 
processing are an important application area. Currently, image 
processing is being exploited in many areas. For this reason, 
methods used in developing more and more every day and 
studies which is about computer vision systems are being 
developed for less errors. Optimization algorithms have been 
used for better results in so many studies. In this paper, 
Artificial Bee Colony (ABC) Optimization Algorithm is used for 
edge detection which is about gray scale images. First, ABC 
algorithm is explained. Following, edge detection and edge 
detection with ABC algorithm are clarified. Finally, results are 
showed. Results show that the proposed method can be applied 
for edge detection operations. 

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Published

21.11.2013

How to Cite

Edge Detection using Artificial Bee Colony Algorithm (ABC) . (2013). International Journal of Information and Electronics Engineering, 3(6), 634-638. http://ijiee.org/index.php/ijiee/article/view/761