Improved Canny Edges Using Ant Colony Optimization


Wong, Ya Ping and Soh, Victor Chien Ming and Ban, Kar Weng and Bau, Yoon Teck (2008) Improved Canny Edges Using Ant Colony Optimization. In: 5th International Conference on Computer Graphics, Imaging and Visualization (CGIV), 26-28 August 2008, Penang, Malaysia.

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Ant colony optimization (ACO) is a metaheuristic approach for solving hard optimization problem. It has been applied to solve various image processing problems such as image segmentation, classification, image analysis and edge detection. In this paper, we present an Improved Canny edges (ICE-ACO) algorithm which uses ACO to solve the problem of linking disjointed edges produced by Canny edge detector.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 13 Nov 2013 02:46
Last Modified: 21 Sep 2021 07:30


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