Improved Edge Detection Algorithm Using Ant Colony System 


Vol. 13,  No. 3, pp. 315-322, Jun.  2006
10.3745/KIPSTB.2006.13.3.315


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  Abstract

Ant Colony System(ACS) is easily applicable to the traveling salesman problem(TSP) and it has demonstrated good performance on TSP. Recently, ACS has been emerged as the useful tool for the pattern recognition, feature extraction, and edge detection. The edge detection is widely utilized in the area of document analysis, character recognition, and face recognition. However, the conventional operator-based edge detection approaches require additional postprocessing steps for the application. In the present study, in order to overcome this shortcoming, we have proposed the new ACS-based edge detection algorithm. The experimental results indicate that this proposed algorithm has the excellent performance in terms of robustness and flexibility.

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[IEEE Style]

I. K. Kim and M. Y. Yun, "Improved Edge Detection Algorithm Using Ant Colony System," The KIPS Transactions:PartB , vol. 13, no. 3, pp. 315-322, 2006. DOI: 10.3745/KIPSTB.2006.13.3.315.

[ACM Style]

In Kyeom Kim and Min Young Yun. 2006. Improved Edge Detection Algorithm Using Ant Colony System. The KIPS Transactions:PartB , 13, 3, (2006), 315-322. DOI: 10.3745/KIPSTB.2006.13.3.315.

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