Improved Canny Edges Using Ant Colony Optimization

Authors:
Ya-Ping Wong;Victor Chien-Ming Soh;Kar-Weng Ban;Yoon-Teck Bau
Affiliations:
-;-;-;-
Venue:
CGIV '08 Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation
Year:
2008

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Abstract

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.