[1]刘恋,常冬霞,邓勇.动态小生境人工鱼群算法的图像分割[J].智能系统学报编辑部,2015,10(5):669-674.[doi:10.11992/tis.201501001]
 LIU lian,CHANG Dongxia,DENG Yong.An image segmentation method based on dynamic niche artificial fish-swarm algorithm[J].CAAI Transactions on Intelligent Systems,2015,10(5):669-674.[doi:10.11992/tis.201501001]
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动态小生境人工鱼群算法的图像分割

参考文献/References:
[1] COLEMAN G B, ANDREWS H C. Image segmentation by clustering[J]. Proceedings of the IEEE, 1979, 67(5):773-785.
[2] 阳春华, 杨尽英, 牟学民, 等. 基于聚类预分割和高低精度距离重构的彩色浮选泡沫图像分割[J]. 电子与信息学报, 2008, 30(6):1286-1290. YANG Chunhua, YANG Jinying, MOU Xuemin, et al. A segmentation method based on clustering pre-segmentation and high-low scale distance reconstruction for colour froth image[J]. Journal of Electronics & Information Technology, 2008, 30(6):1286-1290.
[3] ZHANG Jingdong, JIANG Wuhan, WANG Ruichun, et al. Brain MR image segmentation with spatial constrained K-mean algorithm and dual-tree complex wavelet transform[J]. Journal of Medical Systems, 2014, 38(9):93.
[4] 李晓磊. 一种新型的智能优化方法——人工鱼群算法[D]. 杭州:浙江大学, 2003:10-15.LI Xiaolei. A new intelligent optimization method-artificial fish school algorithm[D]. Hangzhou, China:Zhejiang University, 2003:10-15.
[5] HUANG Zhenhuang, CHEN Yidong. An improved artificial fish swarm algorithm based on hybrid behavior selection[J]. International Journal of Control and Automation, 2013, 6(5):103-116.
[6] EI-SAID S A. Image quantization using improved artificial fish swarm algorithm[J]. Soft Computing, 2014, 24(8):221-232.
[7] LIU Qing, ODAKA T, KUROIWA J, et al. Application of an artificial fish swarm algorithm in symbolic regression[J]. IEICE Transactions on Information and Systems, 2013, 96-D(4):872-885.
[8] 潘喆, 吴一全. 二维Otsu图像分割的人工鱼群算法[J]. 光学学报, 2009, 29(8):2115-2121. PAN Zhe, WU Yiquan. The two-dimensional Otsu thresholding based on fish-swarm algorithm[J]. Acta Optica Sinica, 2009, 29(8):2115-2121.
[9] 范玉军, 王冬冬, 孙明明. 改进的人工鱼群算法[J]. 重庆师范大学学报:自然科学版, 2007, 24(3):23-26. FAN Yujun, WANG Dongdong, SUN Mingming. Improved artificial fish-school algorithm[J]. Journal of Chongqing Normal University:Natural Science Edition, 2007, 24(3):23-26.
[10] 楚晓丽. K-means聚类算法和人工鱼群算法应用于图像分割技术[J]. 计算机系统应用, 2013, 22(4):92-94. CHU Xiaoli. K-means clustering algorithm and artificial fish swarm algorithm applied in image segmentation technology[J]. Computer Systems and Applications, 2013, 22(4):92-96.
[11] YANG M S, WU K L. A similarity-based robust clustering method[J]. IEEE Transactions on Pattern Analysis Machine Intelligence, 2004, 26(4):434-448.
[12] LI Jianping, MARTON E B, PARKS GY T, et al. A species conserving genetic algorithm for multimodal function optimization[J]. Evolutionary Computation, 2002, 10(3):207-234.
[13] BEZDEK J C, CHRISTIAN J. Fuzzy mathematics in pattern classification[D]. New York City:Cornell University, 1973, 142-147.
[14] BORSOTTI M, CAMPADELLI P, SCHETTINI R. Quantitative evaluation of color image segmentation results[J]. Pattern Recognition Letters, 1998, 19(8):741-747.
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备注/Memo

收稿日期:2015-01-01;改回日期:。
基金项目:国家自然科学基金资助项目(61100141);中央高校基本科研业务费资助项目(2013JBM021);中央高校基本科研业务费专项基金资助项目(2012RC044).
作者简介:刘恋,男,1990年生,硕士研究生,主要研究方向为智能优化算法和图像分割;常冬霞,女,1977年生,博士,副教授,主要研究方向为进化计算、非监督分类算法、图像分割以及图像分类等。主持国家自然科学基金项目1项,中央高校基本科研业务费1项。发表学术论文10余篇,其中SCI收录4篇,EI收录2篇;邓勇,男,1974年生,博士,副研究员,主要研究方向为智能信息处理、数据库系统技术及应用等。主持和参与国家863项目1项,北京市自然科学基金项目1项。发表学术论文20余篇,其中EI收录10余篇。
通讯作者:邓勇.E-mail:dengyong@iscas.ac.cn.

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