Edge detection using artificial bee colony algorithm (ABC)

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Tarih

2013-11-21

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Yayıncı

IACSIT

Erişim Hakkı

info:eu-repo/semantics/openAccess

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Dergi sayısı

Özet

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.

Açıklama

Anahtar Kelimeler

Image processing, Edge detection methods, Meta-heuristic methods, Artificial bee colony (ABC) optimization

Kaynak

International Journal of Information and Electronics Engineering

WoS Q Değeri

Scopus Q Değeri

Cilt

3

Sayı

6

Künye

Yiğitbaşı, E. D. & Akhan Baykan, N. (2013). Edge detection using artificial bee colony algorithm (ABC). International Journal of Information and Electronics Engineering, 3(6), 634-638. doi:https://doi.org/10.7763/IJIEE.2013.V3.394