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Proceedings Paper

Edge detection using ant colony system algorithm
Author(s): Ming Shao; Xianghong Xu
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Paper Abstract

In this paper, ant colony system algorithm (ACSA) is used to detect the edge of grayscale images. The novelty of the proposed method is that the artificial ants used for detecting the edges of images have global memory capacity. Moreover, a good result has been gotten by using only one ant. A large number of experiments have been done to determined suitable parameters of ACSA. The results of the experiments show the effectiveness of the proposed method.

Paper Details

Date Published: 8 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341X (8 June 2012); doi: 10.1117/12.952480
Show Author Affiliations
Ming Shao, China Jiliang Univ. (China)
Xianghong Xu, China Jiliang Univ. (China)

Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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