Optics and Precision Engineering, Volume. 23, Issue 10, 2943(2015)

High-dimensional multilevel thresholding based on BBO with dynamic migration and salt & pepper mutation

ZHANG Xin-ming1...2,*, YIN Xin-xin1 and TU Qiang1 |Show fewer author(s)
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    References(17)

    [2] [2] WANG D D, ZHANG W, JIN G F, et al.. Application of cusp catastrophic theory in image segmentation of infrared thermal waving inspection [J]. Infrared and Laser Engineering, 2014, 43(3): 1009-1015. (in Chinese)

    [3] [3] LI X F, XU J, LUO J J, et al.. Laser active image segmentation based on Contourlet-domain hidden Markov trees-3S model [J]. Infrared and Laser Engineering, 2012, 41(2): 531-536. (in Chinese)

    [4] [4] CHEN X W, KAR S, RALESCU D A. Cross-entropy measure of uncertain variables[J]. Information Sciences, 2012, 201: 53-60.

    [5] [5] ZHANG X M, SUN Y J, ZHANG H Y. Interactive image segmentation based on combining maximum entropy and minimum cross entropy [J]. Computer Engineering and Applications, 2010, 46(30): 191-194. (in Chinese)

    [6] [6] HORNG M H, LIOU R J. Multilevel minimum cross entropy threshold selection based on the firefly algorithm [J]. Expert Systems with Application, 2011, 38(12): 14805-14811.

    [8] [8] BHANDARI A K, SINGH V K, KUMAR A, et al.. Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy [J]. Expert Systems with Application, 2014, 41(7): 3538-3560.

    [9] [9] SIMON D. Biogeography-based optimization [J]. IEEE Transaction on Evolutionary Computation, 2008,12(6): 702-713.

    [10] [10] YANG G Q, LIU Y K, YANG K. Multi-objective biogeography-based optimization for supply chain network design under uncertainty[J]. Computers and Industrial Engineering, 2015, 85: 145-156.

    [11] [11] TAMJIDY M, PASLAR S, BAHARUDIN B T, et al.. Biogeography based optimization (BBO) algorithm to minimize non-productive time during hole-making process[J]. International Journal of Production Research, 2015, 53(6): 1880-1894.

    [12] [12] KIM S S, BYEON J H, YU H, et al.. Biogeography-based optimization for optimal job scheduling in cloud computing [J]. Applied Mathematics and Computation, 2014, 247: 266-280.

    [13] [13] NIU Q, ZHANG L T, LI K.A biogeography-based optimization algorithm with mutation strategies for model parameter estimation of solar and fuel cells[J]. Energy Conversion and Management, 2014, 86: 1173-1185.

    [14] [14] GUO W A, WANG L, WU Q D. An analysis of the migration rates for biogeography-based optimization[J]. Information Sciences, 2014, 254: 111-140.

    [15] [15] BI X J, WANG J, LI B, et al.. An ε constrained biogeography-based optimization with dynamic migration[J]. Journal of Computer Research and Development, 2014, 51(3): 580-589. (in Chinese)

    [16] [16] MA H P, SIMON D, FEI M R, et al.. Variations of biogeography- based optimization and Markov analysis [J]. Information Sciences, 2013, 220: 492-506.

    [17] [17] MA H P. An analysis of the equilibrium of migration models for biogeography-based optimization[J]. Information Sciences, 2010, 180(18): 3444-3464.

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    ZHANG Xin-ming, YIN Xin-xin, TU Qiang. High-dimensional multilevel thresholding based on BBO with dynamic migration and salt & pepper mutation[J]. Optics and Precision Engineering, 2015, 23(10): 2943

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    Paper Information

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    Received: May. 19, 2015

    Accepted: --

    Published Online: Nov. 30, 2015

    The Author Email: Xin-ming ZHANG (xinmingzhang@126.com)

    DOI:10.3788/ope.20152310.2943

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