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A modified ant colony optimization based approach for image edge detection

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2 Author(s)
R. Rajeswari ; Department of Computer Applications, Bharathiar University, Coimbatore-641046, India ; R. Rajesh

Ant Colony Optimization (ACO) is used to detect edges in digital images. Such techniques generate a pheromone matrix that represents the edge information at each pixel position on the routes formed by ants dispatched on the image. In this paper a modified ACO-based edge detection is proposed. Ants try to find possible edges by using a heuristic information based on the degree of edginess of each pixel. The proposed ACO-based approach also takes advantage of the fuzzy clustering to determine whether a pixel is edge or not. Experimental results demonstrate superior performance of the proposed approach.

Published in:

Image Information Processing (ICIIP), 2011 International Conference on

Date of Conference:

3-5 Nov. 2011