[1] [1] TANKE H J. Studies of the human genome fluorescent in situ hybridization and image analysis[J]. Biology of Cell, 1991, 93(2): 33-41.

[2] [2] POLETTI E, ZAPPELLI F, RUGGERI A, et al.. A review of thresholding strategies applied to human chromosome segmentation[J]. Computer Methods and Programs in Biomedicine, 2012, 6(2): 121-132.

[3] [3] TAO W B, TIAN J W, JIAN L. Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm[J]. Pattern Recognition Letters, 2003, 24(16): 3069-3078.

[4] [4] TAO W B, JIN H, LIU L M. Object segmentation using ant colony optimization algorithm and fuzzy entropy[J]. Pattern Recognition Letters, 2007, 28(7): 788-796.

[5] [5] NANDITA S, AMITAVA C, SUGATA M. An adaptive bacterial foraging algorithm for fuzzy entropy based image segmentation[J]. Expert Systems with Applications, 2011, 38(12): 15489-15498.

[6] [6] MACHADO J A T, COSTA A C, QUELHAS M D. Shannon, Rényie and Tsallis entropy analysis of DNA using phase plane[J]. Nonlinear Analysis: Real World Applications, 2011, 12(6): 3135-3144.

[7] [7] MEHDI S, HASSAN S, ARIAA. Minimum entropy control of chaos via online particle swarm optimization method[J]. Applied Mathematical Modelling, 2011, 21(10): 171-195.

[8] [8] TANG Y G, DI Q Y, GUAN X P, et al.. Threshold selection based on fuzzy Tsallis entropy and particle swarm optimization[J]. Neuro Quantology, 2008, 6(4): 412-419.

[9] [9] MACHADO J A T, COSTA A C, QUELHAS M D. Analysis and visualization of chromosome information[J]. Gene, 2011, 49(1): 81-87.

[10] [10] HORNG M H. Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation[J]. Expert Systems with Applications, 2011, 38(11): 13785-13791.

[11] [11] PENG H J, WU Z G, ZHONG W X. Fourier expansion based recursive algorithms for periodic Riccati and Lyapunov matrix differential equations[J]. Journal of Computational and Applied Mathematics, 2011, 235(12): 3571-3588.

[12] [12] TANG Y G, MU W W, YING Z, et al.. A fast recursive algorithm based on fuzzy 2-partition entropy approach for threshold selection[J]. Neurocomputing, 2011, 74(17): 3072-3078.

[13] [13] BENABDELKADER S, BOULEMDEN B. Recursive algorithm based on fuzzy 2-partition entropy for 2-level image thresholding[J]. Pattern Recognition, 2005, 38(8): 1289-1294.

[14] [14] MURTHY C A, PAL S K. Fuzzy thresholding mathematical framework, bound functions and weighted moving average technique[J]. Pattern Recognition Letter, 1990, 11(2): 197-206.

[15] [15] ZHOU X CH, LUO X W, YAN X L, et al.. A fuzzy thresholding segmentation for plant root CT images based on genetic algorithm[J]. Journal of Image and Graphics, 2009, 14(4): 682-687. (in Chinese)

[16] [16] ZHANG H Z, XIANG CH B, SONG J ZH, et al.. Application of improved adaptive genetic algorithm to image segmentation in realtime[J]. Opt. Precision Eng., 2008, 16(2): 334-337. (in Chinese)

[17] [17] RICHARD A. RUSSELL N M A, DAVIA A S, et al.. Segmentation of fluorescence microscopy images for quantitative analysis of cell nuclear architecture[J]. Biophysical Journal, 2009, 96(8): 3379-3389.

[18] [18] GOZDE B, DERYA B, ALP K. An incremental genetic algorithm for classification and sensitivity analysis of its parameters[J]. System with Application, 2011, 38(3): 2609-2620.