[1] Li J F, Tang W Y, Wang J et al. Multilevel thresholding selection based on variational mode decomposition for image segmentation[J]. Signal Processing, 147, 80-91(2018).
[2] Mittal H, Saraswat M. An optimum multi-level image thresholding segmentation using non-local means 2D histogram and exponential Kbest gravitational search algorithm[J]. Engineering Applications of Artificial Intelligence, 71, 226-235(2018).
[3] Zhao Q S, Wang Y Y, Wang X P et al. Substation infrared image segmentation based on novel threshold selection method[J]. Acta Optica Sinica, 39, 0810002(2019).
[4] Meng L, Liu J, Cao H et al. Retinal vessel segmentation based on Frangi filter and Otsu algorithm[J]. Laser & Optoelectronics Progress, 56, 181004(2019).
[5] Lü K, Wu J. Joint segmentation and registration of medical image based on B-spline and level set method[J]. Laser & Optoelectronics Progress, 57, 101007(2020).
[6] Mao L, Zhao L Q, Yu M A et al. Hybrid level set model for parathyroid gland segmentation based on local entropy of images[J]. Acta Optica Sinica, 39, 1217001(2019).
[7] Ni K, Wu Y Q, Geng S. Segmentation of metallographic image based on improved CV model integrated with local fitting term[J]. Acta Optica Sinica, 38, 0411009(2018).
[8] Wu X J. Review of theory and methods of image segmentation[J]. Agricultural Biotechnology, 7, 136-141(2018).
[9] Peng L. A brain nuclear magnetic resonance image segmentation algorithm based on non-rigid registration[J]. Traitement Du Signal, 35, 317-330(2018).
[10] Liu S. Image segmentation technology of the Ostu method for image materials based on binary PSO algorithm[M]. //Jin D, Lin S. Advances in computer science, intelligent system and environment. Advances in intelligent and soft computing, 104, 415-419(2011).
[11] Shahid M, Taj I A. Retracted: robust retinal vessel segmentation using vessel’s location map and Frangi enhancement filter[J]. IET Image Processing, 12, 494-501(2018).
[12] Shen X J, Liu X, Chen H P. Fast computation of threshold based on multi-threshold Otsu criterion[J]. Journal of Electronics & Information Technology, 39, 144-149(2017).
[13] Liu J Z, Li W Q. The automatic thresholding of gray-level pictures via two-dimensional Otsu method[J]. Acta Automatica Sinica, 19, 101-105(1993).
[14] Yang T, Tian H W, Liu X M et al. Otsu image segmentation algorithm based on double intercept histogram[J]. Journal of Chinese Computer Systems, 38, 1409-1414(2017).
[15] Pan Z, Wu Y Q. The two-dimensional Otsu thresholding based on fish-swarm algorithm[J]. Acta Optica Sinica, 29, 2115-2121(2009).
[16] Wang F B, Pan X C. Image segmentation for somatic cell of milk based on niching particle swarm optimization Otsu[J]. Engineering in Agriculture, Environment and Food, 12, 141-149(2019).
[17] Li L, Liu J W, Ling M X et al. Improved two-dimensional Otsu based on firefly optimization for low signal-to-noise ratio images[M]. //Tan Y, Takagi H, Shi Y H. Advances in swarm intelligence. Lecture notes in computer science, 10385, 611-617(2017).
[18] Shen X J, Long J W, Chen H P et al. Otsu thresholding algorithm based on rebuilding and dimension reduction of the 3-dimensional histogram[J]. Acta Electronica Sinica, 39, 1108-1114(2011).
[19] Li Q, Tang H, Chi J N et al. Gesture segmentation with improved maximum between-cluster variance algorithm[J]. Acta Automatica Sinica, 43, 528-537(2017).
[20] Wu Y Q, Pan Z, Wu W Y. Image thresholding based on two-dimensional histogram oblique segmentation and its fast recurring algorithm[J]. Journal on Communications, 29, 77-83, 89(2008).
[21] Chen J W, Wu B. A Otsu threshold segmentation method based on rebuilding and dimension reduction of the two-dimensional histogram[J]. Journal of Graphics, 36, 570-575(2015).
[22] He Z Y, Sun L N, Huang W G et al. Thresholding segmentation algorithm based on Otsu criterion and line intercept histogram[J]. Optics and Precision Engineering, 20, 2315-2323(2012).
[23] Xiao L Y, Ouyang H L, Fan C D. An improved Otsu method for threshold segmentation based on set mapping and trapezoid region intercept histogram[J]. Optik, 196, 163106(2019).