@inproceedings{722bf781454e4417b9a43636804c0d76,
title = "Digital Image Edge Detection Using an Ant Colony Optimization Based on Genetic Algorithm",
abstract = "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).",
keywords = "Ant colony optimization, Edge detection, Genetic algorithm",
author = "Javad Rahebi and Zahra Elmi and Ali Farzamnia and Kamran Shayan",
year = "2010",
month = jul,
day = "23",
doi = "10.1109/ICCIS.2010.5518567",
language = "English",
isbn = "9781424464999",
series = "IEEE Conference on Cybernetics and Intelligent Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "145--149",
booktitle = "2010 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2010",
address = "United States",
note = "2010 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2010 ; Conference date: 28-06-2010 Through 30-06-2010",
}