[1] Felzenszwalb P F, Huttenlocher D P. Efficient graph-based image segmentation[J]. International Journal of Computer Vision, 2004, 59(2):167-181.
[2] 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.
[3] Boykov Y, Veksler O, Zabih R. Fast approximate energy minimization via graph cuts[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(11):1222-1239.
[4] Grady L. Random walks for image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(11):1768-1783.
[5] 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.
[6] 依玉峰, 高立群, 郭丽. 基于Mean Shift随机游走图像分割算法[J]. 计算机辅助设计与图形学学报, 2011, 23(11):1875-1878, 1881. Yi Yufeng, Gao Liqun, Guo Li. Mean shift based random walker interactive image segmentation[J]. Journal of Computer-Aided Design & Computer Graphics, 2011, 23(11):1875-1878, 1881.
[7] 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.
[8] 纪则轩, 潘瑜, 陈强, 等. 无监督模糊C均值聚类自然图像分割算法[J]. 中国图像图形学报, 2011, 16(5):773-783. Ji Zexuan, Pan Yu, Chen Qiang, et al. Natural image segmentation algorithm with unsupervised FCM[J]. Journal of Image and Graphics, 2011, 16(5):773-783.
[9] Tu Z, Zhu S C. Image segmentation by data-driven Markov chain Monte Carlo[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5):657-673.
[10] 杨辉华, 赵玲玲, 潘细朋, 等. 基于水平集和凹点区域检测的粘连细胞分割方法[J]. 北京邮电大学学报, 2016, 39(6):11-16. Yang Huihua, Zhao Lingling, Pan Xipeng, et al. Overlapping cell segmentation based on level set and concave area detection[J]. Journal of Beijing University of Posts and Telecommunications, 2016, 39(6):11-16.
[11] Mo J, Wang C, Zhang T, et al. Improved graph-based image segmentation based on mean shift 1[C]//Proceedings of International Conference on Communications and Networking in China (CHINACOM). Guilin:IEEE Computer Society Press, 2013:685-689.
[12] Chen Z H, Xiao X L, Liu Y, et al. Graph-based imagesegmentation with bag-of-pixels[C]//Proceedings of International Conference on Machine Learning and Cybernetics. Tianjin:IEEE Computer Society Press, 2013:1548-1551.
[13] Zhang M, Alhajj R. Improving the graph-based image segmentation method[C]//Proceedings of International Conference on Tools with Artificial Intelligence. Arlington:IEEE Computer Society Press, 2006:617-624.
[14] 冯筠, 刘飞鸿, 李盼, 等. 基于格式塔认知框架的腹腔CT多目标分割算法[J]. 北京邮电大学学报, 2016, 39(5):51-55. Feng Jun, Liu Feihong, Li Pan, et al. Multi-object segmentation for abdominal CT Images based on gestalt cognitive framework[J]. Journal of Beijing University of Posts and Telecommunications, 2016, 39(5):51-55.
[15] Meilǎ M. Comparing clusterings:an axiomatic view[C]//Proceedings of the International Conference on Machine Learning. Bonn:ACM, 2005:577-584.
[16] Unnikrishnan R, Pantofaru C, Hebert M. Toward objective evaluation of image segmentation algorithms[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(6):929-944. |