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