[1] BUONCOMPAGNI S, MAIO D, LEPETIT V. Leaf Segmentation under Loosely Controlled Conditions[C/OL]. [2018-03-25]. http://www.bmva.org/bmvc/2015/papers/paper133/abstract133.pdf.
[2] KUMAR N, BELHUMEUR P N, BISWAS A, et al. Leafsnap: A Computer Vision System for Automatic Plant Species Identification // Proc of the European Conference on Computer Vision. Berlin, Germany: Springer, 2012: 502-516.
[3] GRAND-BROCHIER M, VACAVANT A, CERUTTI G, et al. Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods. IEEE Transactions on Image Processing, 2015, 24(5): 1549-1560.
[4] 王 颖.基于局部学习的图像编辑算法研究.博士学位论文.北京:中国科学院大学, 2012.
(WANG Y. Researches on Image Editing with Local Learning. Ph.D. Dissertation. Beijing, China: University of Chinese Academy of Sciences, 2012.)
[5] 贾丽丽,余孝源,梁 耀,等.自然生长状态下树叶图像的分割与提取.华南师范大学学报(自然科学版), 2017, 49(1): 116-121.
(JIA L L, YU X Y, LIANG Y, et al. Leaves′ Image Segmentation and Extraction under Natural Growing Condition. Journal of South China Normal University(Natural Science Edition), 2017, 49(1): 116-121.)
[6] COMANICIU D, MEER P. Mean Shift: A Robust Approach toward Feature Space Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603-619.
[7] FELZENSZWALB P F, HUTTENLOCHER D P. Efficient Graph-Based Image Segmentation. International Journal of Computer Vision, 2004, 59(2): 167-181.
[8] ARBELAEZ P, MAIRE M, FOWLKES C C, et al. Contour Detection and Hierarchical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(5): 898-916.
[9] BOYKOV Y, FUNKA-LEA G. Graph Cuts and Efficient ND Image Segmentation. International Journal of Computer Vision, 2006, 70(2): 109-131.
[10] GRADY L. Random Walks for Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(11): 1768-1783.
[11] ROWEIS S T, SAUL L K. Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science, 2000, 290(5500): 2323-2326.
[12] SCHARR H, MINERVINI M, FRENCH A P, et al. Leaf Segmentation in Plant Phenotyping: A Collation Study. Machine Vision and Applications, 2016, 27(4): 585-606.
[13] GRADY L. Multilabel Random Walker Image Segmentation Using Prior Models // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, USA: IEEE, 2005: 763-770.
[14] COLLINS M D, XU J, GRADY L, et al. Random Walks Based Multi-image Segmentation: Quasiconvexity Results and GPU-Based Solutions // Proc of the IEEE International Conference on Compu-ter Vision and Pattern Recognition. Washington, USA: IEEE, 2012: 1656-1663.
[15] WU J J, ZHAO Y B, ZHU J Y, et al. MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation // Proc of the IEEE International Conference on Computer Vision and Pattern Recognition. Washington, USA: IEEE, 2014: 256-263.
[16] LEE C, JANG W D, SIM J Y, et al. Multiple Random Walkers and Their Application to Image Cosegmentation // Proc of the IEEE International Conference on Computer Vision and Pattern Recognition. Washington, USA: IEEE, 2015: 3837-3845.
[17] GRADY L, SINOP A K. Fast Approximate Random Walker Segmentation Using Eigenvector Precomputation // Proc of the IEEE International Conference on Computer Vision and Pattern Recognition. Washington, USA: IEEE, 2008. DOI: 10.1109/CVPR.2008.4587487.
[18] SINOP A K, GRADY L. A Seeded Image Segmentation Framework Unifying Graph Cuts and Random Walker Which Yields A New Algorithm // Proc of the 11th IEEE International Conference on Computer Vision and Pattern Recognition. Washington, USA: IEEE, 2007. DOI: 10.1109/ICCV.2007.4408927.
[19] YANG W X, CAI J F, ZHENG J M, et al. User-Friendly Interactive Image Segmentation through Unified Combinatorial User Inputs. IEEE Transactions on Image Processing, 2010, 19(9): 2470-2479.
[20] XIANG S M, NIE F P, ZHANG C X, et al. Interactive Natural Image Segmentation via Spline Regression. IEEE Transactions on Image Processing, 2009, 18(7): 1623-1632.
[21] XIANG S M, PAN C H, NIE F P, et al. Interactive Image Segmentation with Multiple Linear Reconstructions in Windows. IEEE Transactions on Multimedia, 2011, 13(2): 342-352.
[22] XIANG S M, NIE F P, ZHANG C S. Semi-supervised Classification via Local Spline Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(11): 2039-2053.
[23] BOYKOV Y Y, JOLLY M P. Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images // Proc of the 8th IEEE International Conference on Computer Vision. Washington, USA: IEEE, 2001: 105-112.
[24] BAI X, SAPIRO G. A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting // Proc of the 11th IEEE International Conference on Computer Vision. Washington, USA: IEEE, 2007. DOI: 10.1109/ICCV.2007.4408931.
[25] ACHANTA R, SHAJI A, SMITH K, et al. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11): 2274-2282.
[26] GORELICK L, VEKSLER O, BOYKOV Y, et al. Convexity Shape Prior for Binary Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(2): 258-271.