@inproceedings{4e3b0c2d16f942f5a98d14e9ac393824,
title = "An improved ACO by neighborhood strategy for color image segmentation",
abstract = "This paper presents an efficient method for speeding up ant colony optimization (ACO) in solving the color image segmentation problem. The proposed method is inspired by the heuristics of image segmentation to reduce the computation time. To evaluate the performance of the proposed method, we applied the method on well-known test images. Our experimental results shows that the proposed method can significantly reduce the computation time about 19\% to 45\%.",
author = "Tseng, \{Shih Pang\} and Chiang, \{Ming Chao\} and Yang, \{Chu Sing\}",
year = "2014",
doi = "10.1007/978-3-642-40675-1\_91",
language = "English",
isbn = "9783642406744",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "615--620",
booktitle = "Mobile, Ubiquitous, and Intelligent Computing, MUSIC 2013",
address = "Germany",
note = "4th International Conference on Mobile, Ubiquitous, and Intelligent Computing, MUSIC 2013 ; Conference date: 04-09-2013 Through 06-09-2013",
}