A Modified Ant-Based Approach to Edge Detection

Authors:
Doğan Aydın
Affiliations:
Department of Computer Engineering, Ege University, Izmir, Turkey 35100
Venue:
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Year:
2009

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Abstract

A modified ant-based edge detector is presented. It is based on the distribution of ants on an image. Ants try to find possible edges by using a heuristic function based on 3x3 ideal edge structures. Visual comparisons show that the modified algorithm gives finer details and thinner edges at lesser computational times when compared to earlier ant-based approaches. When compared to standard edge detection methods, it provides finer details than others except Canny's, with slightly more occurrence of broadening.