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Proceedings Paper

A multi-threshold segmentation method based on ant colony algorithm
Author(s): Ming Du; Yan Ding; QingZhong Jia
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Paper Abstract

Image segmentation is the key step for image processing to image analysis. In order to deal with the difficulties in automatic selection and the vast computation of multi- threshold image segmentation,a multi-threshold segmentation algorithm based on Ant Colony is proposed. Compared with traditional multi-threshold segmentation algorithm, the proposed algorithm has better segmentation result and decreases the computation greatly. The experimental results demonstrate that the algorithm given in this paper can cope with multil-threshold image segmentation efficiently and rapidly.

Paper Details

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 878402 (13 March 2013); doi: 10.1117/12.2012452
Show Author Affiliations
Ming Du, Beijing Institute of Technology (China)
Yan Ding, Beijing Institute of Technology (China)
QingZhong Jia, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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