Achanta R, Shaji A, Smith K, et al. Slic superpixels[R]. Lausanne, Vaud, Switzerland: Swiss federal Institute of Technology, 2010.
[2]
Liu M Y, Tuzel O, Ramalingam S, et al. Entropy rate superpixel segmentation[C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Washington DC, USA: IEEE, 2011: 2097-2104. [DOI: 10.1109/CVPR.2011.5995323]
[3]
Zhang Y, Hartley R, Mashford J, et al. Superpixels via pseudo-boolean optimization [C]//Proceedings of IEEE International Conference on Computer Vision. Washington DC, USA: IEEE, 2011: 1387-1394. [DOI: 10.1109/ICCV.2011.6126393]
[4]
Bergh M V D, Boix X, Roig G, et al. SEEDS: Superpixels extracted via energy-driven sampling[M]//Computer Vision-ECCV 2012. Berlin Heidelberg: Springer, 2012: 13-26. [DOI: 10.1007/s11263-014-0744-2]
[5]
Bergh M V D, Roig G, Boix X, et al. Online video seeds for temporal window objectness[C]//Proceedings of the IEEE International Conference on Computer Vision. Washington DC, USA: IEEE, 2013: 377-384. [DOI: 10.1109/ICCV.2013.54]
[6]
Bergh M V D, Carton D, Van Gool L. Depth SEEDS: recovering incomplete depth data using superpixels[C]// Proceedings of 2013 IEEE Workshop on Applications of Computer Vision. Washington DC, USA: IEEE, 2013: 363-368. [DOI:10.1109/WACV.2013. 6475041]
[7]
Trzcinski M W. Texture aided superpixel segmentation[D]. London: Imperial College, 2013.
[8]
Wang P, Zeng G, Gan R, et al. Structure-sensitive superpixels via geodesic distance[J]. International Journal of Computer Vision, 2013, 103(1): 1-21. [DOI: 10.1007/s11263-012-0588-6]
[9]
Su J L, Wang Z H. An image segmentation method based on graph cut and super pixels in nature scene[J]. Journal of Soochow University: Natural Science Edition, 2012, 28(02): 27-30. [苏金玲, 王朝晖. 基于 graph cut 和超像素的自然场景显著对象分割方法[J]. 苏州大学学报: 自然科学版, 2012, 28(02): 27-30.]
[10]
Comaniciu D, Meer P. Mean shift: a robust approach toward feature space analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603-619. [DOI: 10.1109/34.1000236]
[11]
Levinshtein A, Stere A, Kutulakos K N, et al. Turbopixels: fast superpixels using geometric flows[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(12): 2290-2297. [DOI: 10.1109/TPAMI.2009.96]
[12]
Radhakrishna Achanta. SLICO, zero parameter version of SLIC[EB/OL]. [2014-09-16]. http://ivrg.epfl.ch/supplementary_material/RK_SLICSuperpixels/index.html.
[13]
更多...
[14]
Ren C Y, Reid I. gSLIC: a real-time implementation of SLIC superpixel segmentation[R]. Oxford: University of Oxford, Department of Engineering, 2011.
[15]
Schick A, Fischer M, Stiefelhagen R. Measuring and evaluating the compactness of superpixels[C]//Proceedings of IEEE International Conference on Pattern Recognition. Washington DC, USA: IEEE, 2012: 930-934.
[16]
Kim K S, Zhang D, Kang M C, et al. Improved simple linear iterative clustering superpixels[C]// IEEE Symposium on Consumer Electronics. Washington DC, USA: IEEE, 2013: 259-260. [DOI: 10.1109/ISCE.2013.6570216]
[17]
Neubert P, Protzel P. Superpixel benchmark and comparison[C]// Proceedings of the Forum Bildverarbeitung. Baden-Württemberg, Germany: KIT Scientific Publishing, 2012.
[18]
Buyssens P, Gardin I, Ruan S, et al. Eikonal-based region growing for efficient clustering[J]. Image and Vision Computing, 2014, 32(12): 1045-1054. [DOI:10.1016/j.imavis.2014.10.002]
[19]
Perbet F, Maki A. Homogeneous superpixels from random walks[C]// Proceedings of the 12th IAPR Conference on Machine Vision Applications. Berlin, Germany: Springer-Verlag, 2011: 26-30.
[20]
Matthias R, Jachalsky J, Rosenhahn B. Temporally consistent superpixels: U.S. Patent Application 13/925,374[P]. 2013-6-24.
[21]
Verma N, Cowperthwaite M C, Markey M K. Superpixels in brain MR image analysis[C]//Proceedings of the 35th IEEE Annual International Conference on Engineering in Medicine and Biology Society. Washington DC, USA: IEEE, 2013: 1077-1080.[DOI: 10.1109/EMBC.2013.6609691]
[22]
Vedaldi A, Soatto S. Quick shift and kernel methods for mode seeking[M]//Computer Vision-ECCV 2008. Berlin Heidelberg: Springer, 2008: 705-718. [DOI: 10.1007/978-3-540-88693-8_ 52]
[23]
Arbelaez P, Maire M, Fowlkes C, et al. Contour detection and hierarchical image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(5): 898-916.[DOI: 10.1109/TPAMI.2010.161]
[24]
Yuri Boykov, Jolly M P. Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images[C]//Proceedings of the IEEE International Conference on Computer Vision. Washington DC, USA: IEEE, 2001: 105-112. [DOI: 10.1109/ICCV.2001.937505]
[25]
Han S D,Zhao Y,Tao W B,et al. Gaussian super-pixel based fast image segmentation using graph cuts[J]. Acta Automatics Sinica, 2011,37(1): 11-20.[韩守东, 赵勇, 陶文兵, 等. 基于高斯超像素的快速 Graph Cuts 图像分割方法[J]. 自动化学报, 2011, 37(1): 11-20.] [DOI: 10.3724/SP.J.1004.2011.00011]
[26]
Li Y, Sun J, Tang C K, et al. Lazy snapping[C]//Proceedings of ACM Transactions on Graphics. New York, USA: ACM, 2004, 23(3): 303-308.[DOI: 10.1145/1015706.1015719]
[27]
An N Y, Pun C M. Iterated graph cut integrating texture characterization for interactive image segmentation[C]// Proceedings of IEEE International Conference on Computer Graphics, Imaging and Visualization. Washington DC, USA: IEEE, 2013: 79-83. [DOI: 10.1109/CGIV.2013.34]
[28]
Kim S, Nowozin S, Kohli P, et al. Higher-order correlation clustering for image segmentation[C]// Proceedings of Annual Conference on Neural Information Processing Systems. Cambridge, Massachusetts, USA: MIT Press, 2011: 1530-1538.
[29]
Lucchi A, Smith K, Achanta R, et al. A fully automated approach to segmentation of irregularly shaped cellular structures in EM images[M]//Medical Image Computing and Computer-Assisted Intervention-MICCAI 2010. Berlin Heidelberg: Springer, 2010: 463-471.[DOI:10.1007/978-3-642-15745-5_57]
[30]
Ning J, Zhang L, Zhang D, et al. Interactive image segmentation by maximal similarity based region merging[J]. Pattern Recognition, 2010, 43(2):445-456. [DOI: 10.1016/j.patcog.2009.03.004]
[31]
Hsu C Y, Ding J J. Efficient image segmentation algorithm using SLIC superpixels and boundary-focused region merging[C]//Proceedings of IEEE International Conference on Information, Communications and Signal Processing. Washington DC, USA: IEEE, 2013: 1-5.
[32]
Ren Z, Shakhnarovich G. Image segmentation by cascaded region agglomeration[C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Washington DC, USA: IEEE, 2013: 2011-2018. [DOI: 10.1109/CVPR.2013.262]
[33]
Cao X. Background aware saliency detection[C]//TENCON 2013―2013 IEEE Region 10 Conference (31194). Washington DC, USA: IEEE, 2013: 1-4. [DOI: 10.1109/TENCON.2013.6718951]
[34]
Li Z, Wu X M, Chang S F. Segmentation using superpixels: a bipartite graph partitioning approach[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Washington DC, USA: IEEE, 2012: 789-796.
[35]
Schick A, Bauml M, Stiefelhagen R. Improving foreground segmentations with probabilistic superpixel markov random fields[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. Washington DC, USA: IEEE, 2012: 27-31.[DOI: 10.1109/CVPRW.2012.6238923]
[36]
Zhang L, Song M, Liu Z, et al. Probabilistic graphlet cut: exploiting spatial structure cue for weakly supervised image segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Washington DC, USA: IEEE, 2013:1908-1915. [DOI: 10.1109/CVPR.2013.249]
[37]
Gu G, Li F, Zhao Y, et al. Scene classification based on spatial pyramid representation by superpixel lattices and contextual visual features[J]. Optical Engineering, 2012, 51(1): 017201(1-8). [DOI: 10.1117/1.OE.51.1.017201]
[38]
Zhou C J. Image segmentation based on improved graph cuts method [D]. Dalian：Dalian University of Technology, 2010.[周成菊. 基于改进 Graph Cuts 的图像分割[D]. 大连：大连理工大学, 2010.]
[39]
Rantalankila P, Kannala J, Rahtu E. Generating object segmentation proposals using global and local search[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Washington DC, USA: IEEE, 2014: 2417-2424. [DOI:10.1109/CVPR.2014.310]
[40]
Veksler O, Boykov Y, Mehrani P. Superpixels and supervoxels in an energy optimization framework[M]//Computer Vision-ECCV 2010. Berlin Heidelberg: Springer, 2010: 211-224. [DOI: 10.1007/978-3-642-15555-0_16]
[41]
Ren X, Malik J. Learning a classification model for segmentation[C]//Proceedings of the IEEE International Conference on Computer Vision. Washington DC, USA: IEEE, 2003: 10-17. [DOI: 10.1109/ICCV.2003.1238308]
[42]
Wang C Y, Chen J Z, Li W. Superpixel segmentation algorithms review[J]. Journal of Application Research of Computers, 2014, 31(1): 6-12. [王春瑶, 陈俊周, 李炜. 超像素分割算法研究综述[J]. 计算机应用研究, 2014, 31(1): 6-12.] [DOI: 10.3969/j.issn.1001-3695.2014.01.002]
[43]
Achanta R, Shaji A, Smith K, et al. SLIC superpixels compared to state-of-the-art superpixel methods[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11): 2274-2282. [DOI: 10.1109/TPAMI.2012.120]
[44]
Rao Q, Wen H, Yu W, et al. Review about superpixels and its applications[J]. Computer and Information Technology, 2013, 21(5): 1-3.[饶倩, 文红, 喻文, 等. 超像素及其应用综述[J]. 电脑与信息技术, 2013, 21(5): 1-3.] [DOI: 10.3969/j.issn.1005-1228.2013.05.001]
[45]
Xu C, Corso J J. Evaluation of super-voxel methods for early video processing[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Washington DC, USA: IEEE, 2012: 1202-1209. [DOI: 10.1109/CVPR.2012.6247802]
[46]
Shi J, Malik J. Normalized cuts and image segmentation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 888-905. [DOI: 10.1109/34.868688]
[47]
Moore A P, Prince S, Warrell J, et al. Superpixel lattices[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Washington DC, USA: IEEE, 2008: 1-8. [DOI: 10.1109/CVPR.2008.4587471]
