[1] SONKA M, HLAVAC V, BOYLE R. Image Processing, Analysis and Machine Vision[M]. Berlin:Springer, 2003:175-176.
[2] XIA G, SUN H, FENG L, et al. Human motion segmentation via robust kernel sparse subspace clustering[J]. IEEE Transactions on Image Processing, 2018, 27(1):135-150.
[3] JI Z, XIA Y, CHEN Q, et al. Fuzzy c-means clustering with weighted image patch for image segmentation[J]. Applied Soft Computing, 2012, 12(6):1659-1667.
[4] JI Z, XIA Y, SUN Q, et al. Fuzzy local Gaussian mixture model for brain MR image segmentation[J]. IEEE Transactions on Information Technology in Biomedicine, 2012, 16(3):339-347.
[5] WANG T, JI Z, SUN Q, et al. Label propagation and higher-order constraint-based segmentation of fluid-associated regions in retinal SD-OCT images[J]. Information Sciences, 2016, 358(C):92-111.
[6] KUNTIMAD G, RANGANATH H S. Perfect image segmentation using pulse coupled neural networks[J]. IEEE Transactions on Neural Networks, 1999, 10(3):591-598.
[7] SHELHAMER E, LONG J, DARRELL T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(4):640-651.
[8] BOYKOV Y Y, JOLLY M. Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images[C]//Proceedings of the 8th IEEE International Conference on Computer Vision. Piscataway, NJ:IEEE, 2001:105-112.
[9] GRADY L. Random walks for image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(11):1768-1783.
[10] CASACA W, NONATO L G, TAUBIN G. Laplacian coordinates for seeded image segmentation[C]//Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2014:384-391.
[11] BAMPIS C G, MARAGOS P, BOVIK A C. Graph-driven diffusion and random walk schemes for image segmentation[J]. IEEE Transactions on Image Processing, 2017:26(1):35-50.
[12] DONG X, SHEN J, SHAO L, et al. Sub-Markov random walk for image segmentation[J]. IEEE Transactions on Image Processing, 2016, 25(2):516-527.
[13] HEIMOWITZ A, KELLER Y. Image segmentation via probabilistic graph matching[J]. IEEE Transactions on Image Processing, 2016, 25(10):4743-4752.
[14] JIAN M, JUNG C. Interactive image segmentation using adaptive constraint propagation[J]. IEEE Transactions on Image Processing, 2016, 25(3):1301-1311.
[15] ZEMENE E, PELILLO M. Interactive image segmentation using constrained dominant sets[C]//Proceedings of the 2016 European Conference on Computer Vision, LNCS 9912. Berlin:Springer, 2016:278-294.
[16] WANG T, SUN Q, JI Z, et al. Multi-layer graph constraints for interactive image segmentation via game theory[J]. Pattern Recognition, 2016, 55(C):28-44.
[17] BAI S, BAI X, TIAN Q, et al. Regularized diffusion process for visual retrieval[C]//Proceedings of the 31st AAAI Conference on Artificial Intelligence. Palo Alto:AAAI Press, 2017:3967-3973.
[18] WANG T, YANG J, JI Z, et al. Probabilistic diffusion for interactive image segmentation[J]. IEEE Transactions on Image Processing, 2019, 28(1):330-342.
[19] ROTHER C, KOLMOGOROV V, BLAKE A. Grabcut:interactive foreground extraction using iterated graph cuts[C]//Proceedings of the 2004 ACM SIGGRAPH Conference. New York:ACM, 2004:309-314.
[20] SANTNER J, POCK T, BISCHOF H. Interactive multi-label segmentation[C]//Proceedings of the 2010 Asian Conference on Computer Vision, LNCS 6492. Berlin:Springer, 2010:397-410.
[21] YAO B, YANG X, ZHU S. Introduction to a large-scale general purpose ground truth database:methodology, annotation tool and benchmarks[C]//Proceedings of the 2007 International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, LNCS 4679. Berlin:Springer, 2007:169-183.
[22] 王涛.特征度量与信息传递的交互式图论分割方法研究[D].南京:南京理工大学,2017:17-29. (WANG T. Research on graph theory based interactive segmentation via feature measurement and information propagation[D]. Nanjing:Nanjing University of Science and Technology, 2017:17-29.) |