Li Y, Li J. Segmentation of SAR intensity imagery with a voronoi tessellation, bayesian inference, and reversible jump MCMC algorithm [J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(4): 1872-1881.
[2]
Cao Z J, Min R, Pang L L. A variational level set SAR image segmentation approach based on statistical model [J]. Journal of Electronics & Information Technology, 2008, 30(12): 2862-2866.[曹宗杰, 闵锐, 庞伶俐. 基于统计模型的变分水平集SAR图像分割方法 [J]. 电子与信息学报, 2008, 30(12): 2862-2866.]
[3]
Shang T, Feng M K. Algorithm of image segmentation based on color statistics [J]. Journal of Wuhan University, 2011, 44(5): 663-667.[尚涛, 冯敏科. 一种基于色彩统计的图像分割算法研究 [J]. 武汉大学学报, 2011, 44(5): 663-667.]
[4]
Zhao Q H, Li Y, He X J. Color image segmentation using geomery tessellation technique and EM/MPM algorithm [J]. Journal of Image and Graphics, 2013, 18(10): 1270-1278.[赵泉华, 李玉, 何晓军. 结合几何划分技术和最大期望值/最大边缘概率算法的彩色图像分割 [J]. 中国图象图形学报, 2013, 18(10): 1270-1278.] [DOI:10.11834/jig.20131007]
[5]
Kato Z. Sementation of color images via reversible jump MCMC sampling [J]. Journal Image and Vision Computing, 2006, 26(3): 361-371.
[6]
Corder G W, Foreman D L. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach [M]. Hoboken: John Wiley & Sons, 2009: 26-28.
[7]
Zhu J G, Feng C L. Statistical diagnosis based on Kolmogorov-Smirnov distance [J].Statisticsand Decision, 2010,(24): 37-38[朱建国, 冯翠莲. 基于Kolmogorov-Smirnov距离的统计诊断 [J]. 统计与决策, 2010,(24): 37-38.]
[8]
Ye G, Yu D, Li C W. Fault localization based on kolmogorov-smirnov testing model [J]. Journal of Computer Research and Development, 2013, 50(4): 686-699[叶钢, 余丹, 李重文. 一种基于Kolmogorov-Smirnov检验的缺陷定位方法 [J]. 计算机研究与发展, 2013, 50(4): 686-699.]
[9]
Ding X B, Xu X Z. Continuous confidence bands based on kolmogorov-smirnov statistics [J]. Transactions of Beijing Institute of Technology, 2008, 28(10): 927-933[丁晓波, 徐兴忠. 基于Kolmogorov-Smirnov统计量的连续置信带 [J]. 北京理工大学学报, 2008, 28(10): 927-933.]
[10]
Geman D, Geman S, Graffigne C. Boundary detection by constrained optimization [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(7): 609-628.
[11]
Liu J Y, Wang R S. An efficient algorithm for texture fault detection [J]. Journal of National University of Defense Technology, 2001, 23(2): 90-93.[刘俊义, 王润生. 一种快速检测纹理斑块的方法 ??敝????濑掀愧???琬漠渲?‰?琬愠??????????椹?????割???爵敝?????ひど???????????try-break in voronoi tessellations [J]. Symmetry, 2009, 1(1): 21-54.
[12]
Zhao Q H, Li Y, Liu Z G. SAR image segmentation using voronoi tessellation and bayesian inference applied to dark dpot feature extraction [J]. Sensors, 2013, 13(11): 14484-14499.
[13]
Metropolis N, Rosenbluth A W, Rosenbluth M N. Equations of state calculations by fast computing machines [J]. Journal of Chemical Physics, 1953, 21(6): 1087-1092.
[14]
Hastings W K. Monte carlo sampling methods using markov chains and their application [J]. Biometrika, 1970, 57(1): 97-109.
[15]
Geman D, Geman S. Stochastic relaxation, gibbs distributions and the bayesian restoration of images [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984, 6(6): 721-741.
[16]
Besag J. On the statistical analysis of dirty pictures (with discussion) [J]. Journal of Royal Statistical Society: Series B, 1986, 48(3): 259-302.
[17]
Kirkpatrick S, Gellatt Jr C D, Vecchi M P. Optimization by simulated annealing [J]. Science, 1983, 220(4598): 671-680.
[18]
更多...
[19]
Rubinstein R Y, Kroese D P. Simulation and The Monte Carlo Method [M]. 2ed. Hoboken: John Wiley & Sons, 2007: 252-260.
[20]
Okabe A, Boots B, Sugihara K. Spatial Tessellations: Concepts and Applications of Voronoi Diagrams [M]. 2ed: Hoboken: John Wiley & Sons, 1999: 113-228.
[21]
Kervrrann C, Heitz F. A markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics [J]. IEEE Transactions on Image Processing, 1995, 4(6): 856-862.
[22]
Marroquin J, Mitter S, Poggio T. Probabilistic solution of illposed problems in computational vision [J]. J. Amer. Statist. Assoc., 1987, 82(397): 76-89.
[23]
Comer M L, Delp E J. The EM/MPM algorithm for segmentation of textured images: analysis and further experimental results [J]. IEEE Transactions on Image Processing, 2000, 9(10): 1731-1744.
[24]
Congaltonr G, Green K. Assessing the Accuracy of Remotely Sensed Data: Practices [M].
[25]
Li X C, Zhu S A. A survery of the markov random field method for image segmentation [J]. Journal of Image and Graphics, 2007, 12(5): 789-797. [李旭超, 朱善安. 图像分割中的马尔可夫随机场方法综述 [J]. 中国图象图形学报, 2007, 12(5): 789-797.] [DOI:10.11834/jig.20070504]
[26]
Ma L, Wang L P, Shen Z K. A slow-moving-object segmentation technology based on MRF under complex background [J]. Signal Processing, 2010, 26(6): 911-916.[马龙, 王鲁平, 沈振康. 基于MRF的复杂背景下缓动目标分割方法 [J]. 信号处理, 2010, 26(6): 911-916.]
[27]
Zhao Q H, Li Y, He X J. Multi-look SAR image segmentation based on voronoi tessellation technique and EM/MPM [J]. Journal of Remote Sensing, 2013,17(4): 841-854.[赵泉华, 李玉, 何晓军. 基于Voronoi几何划分和EM/MPM算法的多视SAR图像分割[J]. 遥感学报, 2013, 17(4): 841-854.]