[1] 刘松涛, 殷福亮. 基于图割的图像分割方法及其新进展[J]. 自动化学报, 2012, 38(6): 911-922.

    Liu S T, Yin F L. The basic principle and its new advances of image segmentation methods based on graph cuts[J]. Acta Automatica Sinica, 2012, 38(6): 911-922.

[2] 朱占龙, 董建彬, 李明亮, 等. 基于自适应加权图像块的广义模糊C均值算法[J]. 激光与光电子学进展, 2020, 57(24): 241006.

    Zhu Z L, Dong J B, Li M L, et al. Generalized fuzzy C-means for image segmentation based on adaptive weighted image patch[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241006.

[3] 刘毅, 陈圣磊, 冯国富, 等. 基于图割的低景深图像自动分割[J]. 自动化学报, 2015, 41(8): 1471-1481.

    Liu Y, Chen S L, Feng G F, et al. Automatic segmentation of images with low depth of field based on graph cuts[J]. Acta Automatica Sinica, 2015, 41(8): 1471-1481.

[4] 谭光鸿, 侯进, 韩雁鹏, 等. 基于卷积神经网络的低参数量实时图像分割算法[J]. 激光与光电子学进展, 2019, 56(9): 091003.

    Tan G H, Hou J, Han Y P, et al. Low-parameter real-time image segmentation algorithm based on convolutional neural network[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091003.

[5] 郑婷月, 唐晨, 雷振坤. 基于全卷积神经网络的多尺度视网膜血管分割[J]. 光学学报, 2019, 39(2): 0211002.

    Zheng T Y, Tang C, Lei Z K. Multi-scale retinal vessel segmentation based on fully convolutional neural network[J]. Acta Optica Sinica, 2019, 39(2): 0211002.

[6] 张芳, 吴玥, 肖志涛, 等. 基于U-Net卷积神经网络的纳米颗粒分割[J]. 激光与光电子学进展, 2019, 56(6): 061005.

    Zhang F, Wu Y, Xiao Z T, et al. Nanoparticle segmentation based on U-Net convolutional neural network[J]. Laser & Optoelectronics Progress, 2019, 56(6): 061005.

[7] Rother C, Kolmogorov V, Blake A. GrabCut: interactive foreground extraction using iterated graph cuts[J]. ACM Transactions on Graphics, 2004, 23(3): 309-314.

[8] BoykovY, Jolly MP. Interactive organ segmentation using graph cuts[M] //Delp S L, DiGoia A M, Jaramaz B, et al. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2000. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 2000, 1935: 276- 286.

[9] Boykov YY, Jolly MP. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images[C]//Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, July 7-14, 2001, Vancouver, BC, Canada. New York: IEEE, 2001: 105- 112.

[10] 徐秋平, 郭敏, 王亚荣. 基于多尺度分析与图割的快速图像分割算法[J]. 计算机应用研究, 2009, 26(10): 3989-3991.

    Xu Q P, Guo M, Wang Y R. Fast image segmentation algorithm based on multiscale analysis and graph cuts[J]. Application Research of Computers, 2009, 26(10): 3989-3991.

[11] 周良芬, 何建农. 基于GrabCut改进的图像分割算法[J]. 计算机应用, 2013, 33(1): 49-52.

    Zhou L F, He J N. Improved image segmentation algorithm based on GrabCut[J]. Journal of Computer Applications, 2013, 33(1): 49-52.

[12] 胡志立, 郭敏. 基于SLIC的改进GrabCut彩色图像快速分割[J]. 计算机工程与应用, 2016, 52(2): 186-190, 270.

    Hu Z L, Guo M. Fast segmentation in color image based on SLIC and GrabCut[J]. Computer Engineering and Applications, 2016, 52(2): 186-190, 270.

[13] Ren D Y, Jia Z H, Yang J, et al. A practical GrabCut color image segmentation based on Bayes classification and simple linear iterative clustering[J]. IEEE Access, 2017, 5: 18480-18487.

[14] 陈鑫, 何中市, 李英豪. 一种新的基于SLICO改进的GrabCut彩色图像分割算法[J]. 计算机应用研究, 2015, 32(10): 3191-3195.

    Chen X, He Z S, Li Y H. Improved color image segmentation of GrabCut algorithm based on SLICO[J]. Application Research of Computers, 2015, 32(10): 3191-3195.

[15] 刘辉, 石小龙, 漆坤元, 等. 融合深度信息的Grabcut自动图像分割[J]. 小型微型计算机系统, 2018, 39(10): 2309-2313.

    Liu H, Shi X L, Qi K Y, et al. Automatic image segmentation combined Grabcut and depth information[J]. Journal of Chinese Computer Systems, 2018, 39(10): 2309-2313.

[16] 孔显, 马晓珂. 基于非归一化直方图的GrabCut图像分割算法改进[J]. 计算机应用研究, 2020, 37(5): 1549-1552.

    Kong X, Ma X K. Improvement of GrabCut image segmentation algorithm based on non-normalized histogram[J]. Application Research of Computers, 2020, 37(5): 1549-1552.

[17] Specht D F. Probabilistic neural networks[J]. Neural Networks, 1990, 3(1): 109-118.

[18] Taha A A, Hanbury A. Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool[J]. BMC Med Imaging, 2015, 15: 29.

[19] TangM, GorelickL, Veksler O, et al. GrabCut in one cut[C]//2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, NSW, Australia. New York: IEEE, 2013: 1769- 1776.

[20] 韦玉科, 范鹏, 曾贵. 改进的GrabCut方法在舌诊系统中的应用[J]. 传感器与微系统, 2014, 33(10): 157-160.

    Wei Y K, Fan P, Zeng G. Application of improved GrabCut method in tongue diagnosis system[J]. Transducer and Microsystem Technologies, 2014, 33(10): 157-160.