A multi-threshold segmentation method based on ant colony algorithm

Ming Du; Yan Ding; QingZhong Jia

doi:10.1117/12.2012452

Translator Disclaimer

13 March 2013 A multi-threshold segmentation method based on ant colony algorithm

Ming Du, Yan Ding, QingZhong Jia

Author Affiliations +

Proceedings Volume 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies; 878402 (2013) https://doi.org/10.1117/12.2012452
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

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.

Citation Download Citation

Ming Du, Yan Ding, and QingZhong Jia "A multi-threshold segmentation method based on ant colony algorithm", Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 878402 (13 March 2013); https://doi.org/10.1117/12.2012452

ACCESS THE FULL ARTICLE