[1] ChoD, Tai YW, KweonI. Natural image matting using deep convolutional neural networks[M] ∥Leibe B, Matas J, Sebe N, et al. Computer Vision-ECCV 2016. Cham: Springer, 2016, 9906: 626- 643.

[2] BermanA, DadourianA, Vlahos P. Method for removing from an image the background surrounding a selected object: US6134346[P].2000-10-17.

[3] 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.

[4] BlakeA, RotherC, BrownM, et al. Interactive image segmentation using an adaptive GMMRF model[M] ∥Pajdla T, Matas J. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 2004: 428- 441.

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

[6] 李小奇. 基于GrabCut的彩色图像自动分割算法研究[D]. 北京: 北京印刷学院, 2015: 20- 25.

    Li XQ. Research on automatic color image segmentation algorithm based on GrabCut[D]. Beijing: Beijing Institute of Graphic Communication, 2015: 20- 25.

[7] LongJ, ShelhamerE, DarrellT. Fully convolutional networks for semantic segmentation[C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 2015: 3431- 3440.

[8] Long Z R, Wei B, Feng P, et al. A fully convolutional networks (FCN) based image segmentation algorithm in binocular imaging system[J]. Proceedings of SPIE, 2018, 10621: 106211W.

[9] 刘梦飞, 付小雁, 尚媛园, 等. 基于HSV颜色特征和贡献度重构的行人跟踪[J]. 激光与光电子学进展, 2017, 54(9): 091004.

    Liu M F, Fu X Y, Shang Y Y, et al. Pedestrian tracking based on HSV color features and reconstruction by contributions[J]. Laser & Optoelectronics Progress, 2017, 54(9): 091004.

[10] 曲磊, 王康如, 陈利利, 等. 基于RGBD图像和卷积神经网络的快速道路检测[J]. 光学学报, 2017, 37(10): 1010003.

    Qu L, Wang K R, Chen L L, et al. Fast road detection based on RGBD images and convolutional neural network[J]. Acta Optica Sinica, 2017, 37(10): 1010003.

[11] 李运奎, 韩富亮, 张予林, 等. 基于CIELAB色空间的红葡萄酒颜色直观表征[J]. 农业机械学报, 2017, 48(6): 296-301.

    Li Y K, Han F L, Zhang Y L, et al. Visualization for representation of red wine color based on CIELAB color space[J]. Transactions of the Chinese Society for Agricultural Machinery, 2017, 48(6): 296-301.

[12] 赵天明, 刘诗德. 基于立方体内缩的反向颜色空间转换算法[J]. 包装工程, 2017, 38(17): 200-205.

    Zhao T M, Liu S D. Inverse color space conversion algorithm based on cube inner contraction[J]. Packaging Engineering, 2017, 38(17): 200-205.

[13] 孙学斌, 陈晓冬, 肖禹泽, 等. 基于图像纹理特征的HEVC帧内编码快速算法[J]. 激光与光电子学进展, 2017, 54(7): 071003.

    Sun X B, Chen X D, Xiao Y Z, et al. Fast intra-frame encoding algorithm based on image texture features for HEVC[J]. Laser & Optoelectronics Progress, 2017, 54(7): 071003.

[14] Carson C, Belongie S, Greenspan H, et al. Blobworld: image segmentation using expectation-maximization and its application to image querying[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(8): 1026-1038.

[15] Levine MD, Nazif A M. Dynamic measurement of computer generated image segmentations[J]. IEEE Transactions on Pattern Analysis and MachineIntelligence, 1985, PAMI-7( 2): 155- 164.

[16] 范伟. 基于区域生长的彩色图像分割算法[J]. 计算机工程, 2010, 36(13): 192-193, 196.

    Fan W. Color image segmentation algorithm based on region growth[J]. Computer Engineering, 2010, 36(13): 192-193, 196.