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Vol.6, No.1, February 2017. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Edge Detection using Multiple Ant Colony Approach
Amali Asha A, Maria Wenisch S
© 2017 Amali Asha A, Maria Wenisch S, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 6, Issue 1, Pages 137-142, ISSN 2217-8309, DOI: 10.18421/TEM61-20, February 2017.
Abstract:
The gray level change between any two regions is described as an edge. This change is spread out among a lot of pixels. There are algorithms which can be used to detect edges. Some of them are designed in such a way that they can detect straight visible edges. Also, there were algorithms whose settings can detect partial edges. But it is very difficult to design an algorithm, which could detect partial edges and also correct edges. At the same time the algorithm should also have a setting to manage hidden edges. Multiple ant colony approach is a best method to get a good solution. This will be possible due to the cohabitation of various colonies. The activities of ant colonies that are coordinated by an interaction on the colony level is the basic idea of multiple ant colony approach.
Keywords – Swarm intelligence, Multiple Ant Colony, ACO, Edge, Feature Extraction. |
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