Hierarchical artificial bee colony optimizer for multilevel threshold image segmentation
文献类型：会议论文
| 作者 | Hu KY(胡琨元)1 ; Chen HN(陈瀚宁)1; He MW(何茂伟)1,2
|
| 出版日期 | 2014 |
| 会议日期 | July 21-24, 2014 |
| 会议地点 | Las Vegas, NV, USA |
| 关键词 | Hierarchical cooperative optimization Divide-and-conquer Crossover Image Segmentation |
| 页码 | 678-684 |
| 英文摘要 | This paper presents a novel optimization algorithm, namely hierarchical artificial bee colony optimization (HABC) for multilevel threshold image segmentation, which employs a pool of optimal foraging strategies to extends the classical artificial bee colony framework to a cooperative and hierarchical fashion. In the proposed hierarchical model, the higher-level species incorporates the enhanced information change mechanism based on crossover operator to enhance the global search ability between species. In the bottom level, with the divide- and-conquer approach, each subpopulation runs the original ABC method in parallel for part-dimensional optimum, which can be aggregated into a complete solution for the upper level. The experimental results on a set of benchmarks demonstrated the effectiveness of the proposed algorithm. Furthermore, we applied the HABC algorithm to the multilevel image segmentation problem. Experimental results of the new algorithm on a variety of images demonstrated the performance superiority of the proposed algorithm. |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014
 |
| 会议录出版者 | CSREA Press |
| 会议录出版地 | Bogart, GA,USA |
| 语种 | 英语 |
| ISBN号 | 978-1-60132-276-0 |
| 源URL | [http://ir.sia.cn/handle/173321/25269]  |
| 专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
| 通讯作者 | He MW(何茂伟) |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100039, China 2.Department of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Hu KY,Chen HN,He MW. Hierarchical artificial bee colony optimizer for multilevel threshold image segmentation[C]. 见:. Las Vegas, NV, USA. July 21-24, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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