[1] [1] 1吴一全， 孟天亮， 吴诗婳. 图像阈值分割方法研究进展20年（1994—2014）［J］. 数据采集与处理， 2015， 30（1）： 1-23. doi: 10.16337/j.1004-9037.2015.01.001WUY Q， MENGT L， WUS H. Research progress of image thresholding methods in recent 20 years （1994-2014）［J］. Journal of Data Acquisition & Processing， 2015， 30（1）： 1-23.（in Chinese）. doi: 10.16337/j.1004-9037.2015.01.001

[2] [2] 2袁小翠， 吴禄慎， 陈华伟. 基于Otsu方法的钢轨图像分割［J］. 光学 精密工程， 2016， 24（7）： 1772-1781. doi: 10.3788/ope.20162407.1772YUANX C， WUL S， CHENH W. Rail image segmentation based on Otsu threshold method［J］. Opt. Precision Eng.， 2016， 24（7）： 1772-1781.（in Chinese）. doi: 10.3788/ope.20162407.1772

[3] [3] 3姜鑫， 陈武雄， 聂海涛， 等. 航空遥感影像的实时舰船目标检测［J］. 光学 精密工程， 2020， 28（10）： 2360-2369. doi: 10.37188/ope.20202810.2360JIANGX， CHENW X， NIEH T， et al. Real-time ship target detection based on aerial remote sensing images［J］. Opt. Precision Eng.， 2020， 28（10）： 2360-2369.（in Chinese）. doi: 10.37188/ope.20202810.2360

[4] NIE F, ZHANG P, LI J et al. A novel generalized entropy and its application in image thresholding[J]. Signal Processing, 134, 23-34(2017).

[5] WANG Z Z, XIONG J J, YANG Y M et al. A flexible and robust threshold selection method[J]. IEEE Transactions on Circuits and Systems for Video Technology, 28, 2220-2232(2017).

[6] YAZID H, BASAH S N, RAHIM S A et al. Performance analysis of entropy thresholding for successful image segmentation[J]. Multimedia Tools and Applications, 81, 6433-6450(2022).

[7] [7] 7罗希平， 田捷. 用最大熵原则作多阈值选择的条件迭代算法［J］. 软件学报， 2000， 11（3）： 379-385. doi: 10.1038/sj.cr.7290056LUOX P， TIANJ. The ICM algorithm for multi-level threshold selection by maximum entropy criterion［J］. Journal of Software， 2000， 11（3）： 379-385.（in Chinese）. doi: 10.1038/sj.cr.7290056

[8] CHANG C I, DU Y, WANG J et al. Survey and comparative analysis of entropy and relative entropy thresholding techniques[J]. IEE Proceedings-Vision， Image， and Signal Processing, 153, 837(2006).

[9] Pun T. A new method for grey-level picture thresholding using the entropy of the histogram[J]. Signal Processing, 2, 223-237(1980).

[10] KAPUR JN, SAHOO PK, WONG AK. A new method for gray-level picture thresholding using the entropy of the histogram[J]. Computer Vision， Graphics， and Image Processing, 29, 273-285(1985).

[11] ABUTALEB AS. Automatic thresholding of gray-level pictures using two-dimensional entropy[J]. Computer Vision， Graphics， and Image Processing, 47, 22-32(1989).

[12] WONG A K C, SAHOO P K. A gray-level threshold selection method based on maximum entropy principle[J]. IEEE Transactions on Systems， Man， and Cybernetics, 19, 866-871(1989).

[13] DE ALBUQUERQUE MP, ESQUEF IA, MELLO AG. Image thresholding using tsallis entropy[J]. Pattern Recognition Letters, 25, 1059-1065(2004).

[14] SAHOO P, WILKINS C, YEAGER J. Threshold selection using Renyi’s entropy[J]. Pattern Recognition, 30, 71-84(1997).

[15] Wang S, Chung FL. Note on the equivalence relationship between Renyi-entropy based and Tsallis-entropy based image thresholding[J]. Pattern Recognition Letters, 26, 2309-2312(2005).

[16] SAHOO PK, ARORA G. A thresholding method based on two-dimensional Renyi’s entropy[J]. Pattern Recognition, 37, 1149-1161(2004).

[17] SAHOO S, SAHOO S S, KUMAR S et al. Optimized Entropy Based Image Segmentation[C], 1-6(13).

[18] ABDEL-KHALEK S, ISHAK AB, OMER OA et al. A two-dimensional image segmentation method based on genetic algorithm and entropy[J]. Optik, 131, 414-422(2017).

[19] [19] 19刘松涛， 刘振兴， 姜康辉. 基于模糊Renyi熵和区域增长的图像目标分割方法［J］. 系统工程与电子技术， 2018， 40（8）： 1693-1701. doi: 10.3969/j.issn.1001-506X.2018.08.04LIUS T， LIUZ X， JIANGK H. Image target segmentation method based on fuzzy Renyi entropy and region growing［J］. Systems Engineering and Electronics， 2018， 40（8）： 1693-1701. （in Chinese）. doi: 10.3969/j.issn.1001-506X.2018.08.04

[20] WANG Y, XU X. An improved level set method to image segmentation tation based on saliency[J]. Journal of Information Processing Systems, 15, 7-21(2019).

[21] HE C M, WANG X B, DENG L Z et al. Image Threshold Segmentation Based on GLLE Histogram[C], 410-415(14).

[22] LEI B, FAN J. Adaptive granulation Renyi rough entropy image thresholding method with nested optimization[J]. Expert Systems With Applications, 203, 117378(2022).

[23] NASON G P, SILVERMAN B W. The Stationary Wavelet Transform and Some Statistical Applications[M]. Wavelets and Statistics, 281-299(1995).

[24] [24] 24薛婷， 钟麦英. 基于SWT与等价空间的LDTV系统故障检测［J］. 自动化学报， 2017， 43（11）： 1920-1930. doi: 10.16383/j.aas.2017.c160479XUET， ZHONGM Y. SWT and parity space based fault detection for linear discrete time-varying systems［J］. Acta Automatica Sinica， 2017， 43（11）： 1920-1930. （in Chinese）. doi: 10.16383/j.aas.2017.c160479

[25] RAMÍREZ-REYES A, HERNÁNDEZ-MONTOYA A, HERRERA-CORRAL G et al. Determining the entropic index q of tsallis entropy in images through redundancy[J]. Entropy, 18, 299(2016).

[26] CAO X H, LI T H, LI H L et al. A robust parameter-free thresholding method for image segmentation[J]. IEEE Access, 7, 3448-3458(2018).

[27] TRUONG M T N, KIM S. Automatic image thresholding using Otsu's method and entropy weighting scheme for surface defect detection[J]. Soft Computing, 22, 4197-4203(2018).

[28] JIA X H, LEI T, DU X G et al. Robust self-sparse fuzzy clustering for image segmentation[J]. IEEE Access, 8, 146182-146195(2020).

[29] WEI T, WANG X, LI X et al. Fuzzy subspace clustering noisy image segmentation algorithm with adaptive local variance & non-local information and mean membership linking[J]. Engineering Applications of Artificial Intelligence, 110, 104672(2022).

[30] XIAO H G, ZHANG B L, LIU R H et al. Accurate image segmentation based on adaptive distance regularization level set method[J]. International Journal of Wavelets， Multiresolution and Information Processing, 20, 2250033(2022).

[31] FANG J, LIU H, LIU J et al. Fuzzy region-based active contour driven by global and local fitting energy for image segmentation[J]. Applied Soft Computing, 100, 106982(2021).

[32] CHICCO D, JURMAN G. The advantages of the Matthews correlation coefficient （MCC） over F1 score and accuracy in binary classification evaluation[J]. BMC Genomics, 21, 6(2020).