@inproceedings{9b2dcee89307414a80dde5243dcb9263,
title = "A Multi-threshold segmentation method based on ant colony algorithm",
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{\"i}{\OE}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.",
keywords = "Ant Colony algorithm, image segmentation, multi-threshold",
author = "Du Ming and Ding Yan and Jia, {Qing Zhong}",
year = "2013",
doi = "10.1117/12.2012452",
language = "English",
isbn = "9780819495884",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Fifth International Conference on Machine Vision, ICMV 2012",
note = "2012 5th International Conference on Machine Vision: Algorithms, Pattern Recognition and Basic Technologies, ICMV 2012 ; Conference date: 20-10-2012 Through 21-10-2012",
}