A modified ant colony optimization based approach for image edge detection

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 t...

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Bibliographic Details
Published in2011 International Conference on Image Information Processing : 3-5 November 2011 pp. 1 - 6
Main Authors Rajeswari, R., Rajesh, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2011
Subjects
aco-based algorithm
Ant colony optimization
Cameras
Clustering algorithms
Data mining
Digital images
edge based heuristic information
edge detection
fuzzy clustering
Image edge detection
Presses
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ISBN1612848591
9781612848594
DOI10.1109/ICIIP.2011.6108930

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Summary: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.
ISBN:1612848591
9781612848594
DOI:10.1109/ICIIP.2011.6108930