[1]
|
Deng Y N, Manjunath B S. Unsupervised segmentation of color-texture regions in images and video. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(8): 800-810
|
[2]
|
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
|
[3]
|
Yang A Y, Wright J, Ma Y, Shankar S S. Unsupervised segmentation of natural images via lossy data compression. Computer Vision and Image Understanding, 2008, 110(2): 212-225
|
[4]
|
Kolmogorov V, Zabin R. What energy functions can be minimized via graph cuts? IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(2): 147-159
|
[5]
|
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)
|
[6]
|
Liu Song-Tao, Yin 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)
|
[7]
|
Liu Song-Tao, Wang Hui-Li, Yin Fu-Liang. Interactive ship infrared image segmentation method based on graph cut and fuzzy connectedness. Acta Automatica Sinica, 2012, 38(11): 1735-1750(刘松涛, 王慧丽, 殷福亮. 基于图割和模糊连接度的交互式舰船红外图像分割方法. 自动化学报, 2012, 38(11): 1735-1750)
|
[8]
|
Zhou H L, Zheng J M, Wei L. Texture aware image segmentation using graph cuts and active contours. Pattern Recognition, 2013, 46(6): 1719-1733
|
[9]
|
Jung C, Kim C. A unified spectral-domain approach for saliency detection and its application to automatic object segmentation. IEEE Transactions on Image Processing, 2012, 21(3): 1272-1283
|
[10]
|
Boykov Y, Veksler O, Zabih R. Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(11): 1222-1239
|
[11]
|
Kolmogorov V, Rother C. Minimizing non-submodular functions with graph cuts-a review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(7): 1274-1279
|
[12]
|
Delong A, Osokin A, Isack H, Boykov Y. Fast approximate energy minimization with label costs. International Journal of Computer Vision, 2012, 96(1): 1-27
|
[13]
|
Kohli P, Ladicky L, Torr P. Robust higher order potentials for enforcing label consistency. International Journal of Computer Vision, 2009, 82(3): 302-324
|
[14]
|
Alahari K, Kohli P, Torr P H S. Dynamic hybrid algorithms for MAP inference in discrete MRFs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(10): 1846-1857
|
[15]
|
Delong A, Veksler O, Boykov Y. Fast fusion moves for multi-model estimation. In: Proceedings of the 12th European Conference on Computer Vision (ECCV). Berlin, Heidelberg: Springer-Verlag, 2012. 370-384
|
[16]
|
Kim J S, Hong K S. Color-texture segmentation using unsupervised graph cuts. Pattern Recognition, 2009, 42(5): 735-750
|
[17]
|
Li L, Jin L H, Xu X Y, Song E M. Unsupervised color-texture segmentation based on multiscale quaternion gabor filters and splitting strategy. Signal Processing, 2013, 93(9): 2559-2572
|
[18]
|
Feng W, Jia J Y, Liu Z Q. Self-validated labeling of Markov random fields for image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(10): 1871-1887
|
[19]
|
Chen S F, Cao L L, Wang Y M, Liu J Z. Image segmentation by MAP-ML estimations. IEEE Transactions on Image Processing, 2010, 19(9): 2254-2264
|
[20]
|
Yang Y, Han S D, Wang T J, Tao W B, Tai X C. Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging. Pattern Recognition, 2013, 46(4): 1101-1124
|
[21]
|
Li L, Jin L, Song E, et al., Unsupervised color image segmentation using graph cuts with multi-componments. In: Proceeding of Multispectral Image Processing and Pattern Recognition (MIPPR), Wuhan, China: SPIE, 2013. 89180B-1-89180B-8
|
[22]
|
Hoyer P O. Non-negative matrix factorization with sparseness constraints. The Journal of Machine Learning Research, 2004, 5: 1457-1469
|
[23]
|
Jin L H, Liu H, Xu X Y, Song E M. Improved direction estimation for Di Zenzo's multichannel image gradient operator. Pattern Recognition, 2012, 45(12): 4300-4311
|
[24]
|
Elkan C. Using the triangle inequality to accelerate k-means. In: Proceedings of the 20th International Conference on Machine Learning (ICML). Washington DC, USA: AAAI Press, 2003. 147-153
|