Digital Image Edge Detection Using an Ant Colony Optimization Based on Genetic Algorithm

Javad Rahebi, Zahra Elmi, Ali Farzamnia, Kamran Shayan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)


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).

Original languageEnglish
Title of host publication2010 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781424465026, 9781424465019
ISBN (Print)9781424464999
Publication statusPublished - 23 Jul 2010
Externally publishedYes
Event2010 IEEE International Conference on Cybernetics and Intelligent Systems - Singapore, Singapore
Duration: 28 Jun 201030 Jun 2010

Publication series

NameIEEE Conference on Cybernetics and Intelligent Systems
ISSN (Print)2326-8123
ISSN (Electronic)2326-8239


Conference2010 IEEE International Conference on Cybernetics and Intelligent Systems
Abbreviated titleCIS 2010

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