AydIn D.2019-10-262019-10-2620103642150330; 97836421503330302-97430302-9743https://doi.org/10.1007/978-3-642-15034-0_3https://hdl.handle.net/11454/196691st International Conference on Computational Collective Intelligence: Semantic Web, Social Networks and Multiagent Systems, ICCCI 2009 -- 5 October 2009 through 7 October 2009 -- Wroclaw -- 82033An efficient 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 state transition function based on 5x5 edge structures. Visual comparisons show that the proposed method gives finer details and thinner edges at lesser computational times when compared to earlier ant-based approaches. When compared to standard edge detectors, it shows robustness to Gaussian and Salt & Pepper noise and provides finer details than others with same parameter set in both clear and noisy images. © 2010 Springer-Verlag Berlin Heidelberg.en10.1007/978-3-642-15034-0_3info:eu-repo/semantics/closedAccessant colony optimizationant-based algorithmEdge detectionnoisy imagesConference Object6220 LNCS3955Q3