Digital image edge detection using an ant colony optimization based on genetic algorithm.
Yazarlar (4)
Javad Rahebi
Sadjad University, İran
Sadjad University, İran
Dr. Öğr. Üyesi Zehra ELMI Islamic Azad University, İran
Ali Farzam Nia
University of Tabriz, İran
University of Tabriz, İran
Kamran Shayan
Islamic Azad University, Mashhad Branch, İran
Islamic Azad University, Mashhad Branch, İran
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| DOI Numarası | 10.1109/ICCIS.2010.5518567 | ||
| Kongre Adı | 2010 IEEE Conference on Cybernetics and Intelligent Systems | ||
| Kongre Tarihi | 28-06-2010 / 30-06-2010 | ||
| Basıldığı Ülke | Singapur | Basıldığı Şehir | |
| Bildiri Linki | https://ieeexplore.ieee.org/abstract/document/5518567 | ||
| UAK Araştırma Alanları |
Yapay Zeka
Robotik
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| Özet |
| In this paper a new method for enhancement of digital image edge detection using ant colony optimization based on genetic algorithm has been used. In the proposed method first by the series of answers has been formed by artificial ants and then formed in a manner i.e. useful for genetic algorithm, then the answers played the role as initial population for genetic algorithm and the next population is made by genetic algorithm. Our method compared with Jing Tian method enjoys higher speed, less processing time and more answer's optimum. Also the proposed method has a better edge than other classical methods (such as sobel, etc). |
| Anahtar Kelimeler |
| Ant colony optimization | Edge detection | Genetic algorithm |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 14 |
| Google Scholar | 25 |