[1]
|
Ng A Y, Jordan M I, Weiss Y. On spectral clustering: analysis and an algorithm. In: Proceedings of the 2011 Neural Information Processing System. Vancouver, Canada: NIPS, 2001. 849-856
|
[2]
|
Han Shou-Dong, Zhao Yong, Tao Wen-Bing, Sang Nong. Gaussian super-pixel based fast image segmentation using graph cuts. Acta Automatica Sinica, 2011, 37(1): 11-20 (韩守东, 赵勇, 陶文兵, 桑农. 基于高斯超像素的快速Graph Cuts图像分割方法. 自动化学报, 2011, 37(1): 11-20)
|
[3]
|
Tao W B, Jin H, Zhang Y M. Color image segmentation based on mean shift and normalized cut. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2007, 37(5): 1382-1389
|
[4]
|
Kohli P, Ladicky L, Torr P H S. Robust higher order potentials for enforcing label consistency. International Journal of Computer Vision, 2009, 82(3): 302-324
|
[5]
|
Hoiem D, Efros A A, Hebert M. Geometric context from a single image. In: Proceedings of the 2005 IEEE International Conference on Computer Vision. Atlantic City, USA: IEEE, 2005. 654-661
|
[6]
|
Russell B C, Freeman W T, Efros A A, Sivic J, Zisserman A. Using multiple segmentations to discover objects and their extent in image collections. In: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, USA: IEEE, 2006. 1605-1614
|
[7]
|
Kim T H, Lee K M, Lee S U. Nonparametric higher-order learning for interactive segmentation. In: Proceedings of the 2010 IEEE International Conference on Computer Vision and Pattern Recognition. Seoul, South Korea: IEEE, 2010. 3201-3208
|
[8]
|
Kim T H, Lee K M, Lee S U. Learning full pairwise affinities for spectral segmentation. In: Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition. Seoul, South Korea: IEEE, 2010. 2101-2108
|
[9]
|
Li Z G, Wu X M, Chang S F. Segmentation using superpixels: a bipartite graph partitioning approach. In: Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence, USA: IEEE, 2012. 789-796
|
[10]
|
Wang T H, Collomosse J. Probabilistic motion diffusion of labeling priors for coherent video segmentation. IEEE Transactions on Multimedia, 2012, 14(2): 389-400
|
[11]
|
Fischer B, Buhmann J M. Path based pairwise data clustering with application to texture segmentation. Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, 2134: 235-250
|
[12]
|
Fischer B, Buhmann J M. Path-based clustering for grouping of smooth curves and texture segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(4): 513-518
|
[13]
|
Fischer B, Buhmann J M. Bagging for path-based clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(11): 1411-1415
|
[14]
|
Chang H, Yeung D Y. Robust path-based spectral clustering. Pattern Recognition, 2008, 41(1): 191-203
|
[15]
|
Wang F, Zhang C S. Label propagation through linear neighborhoods. IEEE Transactions on Knowledge and Data Engineering, 2008, 20(1): 55-67
|
[16]
|
Yu S X, Shi J B. Multiclass spectral clustering. In: Proceedings of the 9th IEEE International Conference on Computer Vision. Nice, France: IEEE, 2003. 313-319
|
[17]
|
Shi J B, Malik J. Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 888-905
|
[18]
|
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
|
[19]
|
Martin D, Fowlkes C, Tal D, Malik J. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: Proceedings of the 8th IEEE International Conference on Computer Vision. Vancouver, BC: IEEE, 2001. 416-423
|
[20]
|
Xu Li-Yan, Liu Fu-Chang, Cao Guo, Sun Quan-Sen, Xia De-Shen. Color image segmentation algorithm based on edgeflow and region merging. Journal of Optoelectronics· Laser, 2011, 22(10): 1581-1587 (徐丽燕, 刘复昌, 曹国, 孙权森, 夏德深. 基于边缘流与区域归并的彩色图像分割方法. 光电子·激光, 2011, 22(10): 1581-1587)
|
[21]
|
Cour T, Benezit F, Shi J B. Spectral segmentation with multiscale graph decomposition. In: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Philadelphia, USA: IEEE, 2005. 1124-1131
|
[22]
|
Ghanem B, Ahuja N. Dinkelbach NCUT: an efficient framework for solving normalized cuts problems with priors and convex constraints. International Journal of Computer Vision, 2010, 89(1): 40-55
|
[23]
|
Li Y, Sun J, Tang C K, Shum H Y. Lazy snapping. ACM Transactions on Graphics, 2004, 23(3): 303-308
|
[24]
|
Liu Song-Tao, Ying Fu-Liang. The basic principle and its new advances of image segmentation methods based on graph cuts. Acta Automatica Sinica, 2012, 38(6): 911-922 (刘松涛, 殷福亮. 基于图割的图像分割方法及其新进展. 自动化学报, 2012, 38(6): 911-922)
|