• Optics and Precision Engineering
  • Vol. 23, Issue 3, 879 (2015)
CHAO Yuan*, DAI Min, CHEN Kai, CHEN Ping, and ZHANG Zhi-sheng
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/ope.20152303.0879 Cite this Article
    CHAO Yuan, DAI Min, CHEN Kai, CHEN Ping, ZHANG Zhi-sheng. Image segmentation of multilevel threshold using hybrid PSOGSA with generalized opposition-based learning[J]. Optics and Precision Engineering, 2015, 23(3): 879 Copy Citation Text show less
    References

    [1] HE ZH Y,SUN L N,HUANG W G,et al..Thresholding segmentation algorithm based on Otsu criterion and line intercept histogram[J].Opt.Precision Eng.,2012,20(10):2315-2323.(in Chinese)

    [2] XIA D X,LI C G,YANG SH.Fast threshold selection algorithm of infrared human images based on two-dimensional fuzzy tsallis entropy[J].Mathematical Problems in Engineering,2014.

    [3] WU Y Q,MENG T L,WANG K.Threshold selection of flame image based on reciprocal cross entropy and bee colony optimization[J].Opt.Precision Eng.,2014,22(1):235-243.(in Chinese)

    [4] CHEN K,CHEN F,DAI M,et al..Fast image segmentation with multilevel threshold of two-dimensional entropy based on firefly algorithm[J].Opt.Precision Eng.,2014,22(2):517-523.(in Chinese)

    [5] AGRAWAL S,PANDA R,BHUYAN S,et al..Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm[J].Swarm and Evolutionary Computation,2013,11:16-30.

    [6] LAI X SH,ZHANG M Y.An efficient ensemble of GA and PSO for real function optimization[C].2nd IEEE International Conference on Computer Science and Information Technology,ICCSIT 2009,Beijing,China,2009.

    [7] WANG G G,GANDOMI A H,ALAVI A H,et al..Hybrid krill herd algorithm with differential evolution for global numerical optimization[J].Neural Computing and Applications,2014,25(2):297-308.

    [8] MIRJALILI S,HASHIM S Z M.A new hybrid PSOGSA algorithm for function optimization[C].International Conference on Computer and Information Application(ICCIA) 2010,Tianjin,China,2010.

    [9] KENNEDY J,EBERHART R.Particle swarm optimization[C].IEEE International Conference on Neural Networks,Part 4(of 6),Perth,1995.

    [10] RASHEDI E,NEZAMABADI-POUR H,SARYAZDI S.GSA:A Gravitational search algorithm[J].Information Sciences,2009,179(13):2232-2248.

    [11] SATHYA P D,KAYALYIZHI R.Optimal segmentation of brain MRI based on adaptive bacterial foraging algorithm[J].Neurocomputing,2011,74(14-15):2299-2313.

    [12] TIZHOOSH HR.Opposition-based learning:A new scheme for machine intelligence[C].In International Conference on Computational Intelligence for Modelling,Control and Automation,CIMCA 2005 and International Conference on Intelligent Agents,Web Technologies and Internet Commerce,IAWTIC 2005,November 28,2005-November 30,2005,Vienna,Austria,2005.

    [13] WANG H,WU Z,RAHNAMAYAN S,et al..Enhancing particle swarm optimization using generalized opposition-based learning[J].Information Sciences,2011,181(20):4699-4714.

    CLP Journals

    [1] DING Chao, TANG Li-wei, CAO Li-jun, SHAO Xin-jie, DENG Shi-jie. Height difference detection of barrel rifling based on structured light[J]. Optics and Precision Engineering, 2017, 25(4): 1077

    [2] WANG Xiao-hui, WU Lu-shen, CHEN Hua-wei, SHI Hao-liang. Region segmentation of point cloud data based on improved particle swarm optimization fuzzy clustering[J]. Optics and Precision Engineering, 2017, 25(4): 1095

    CHAO Yuan, DAI Min, CHEN Kai, CHEN Ping, ZHANG Zhi-sheng. Image segmentation of multilevel threshold using hybrid PSOGSA with generalized opposition-based learning[J]. Optics and Precision Engineering, 2015, 23(3): 879
    Download Citation