Zhang J,Modestino J W.A model-fitting approach to cluster validity with application to stochastic model-based image segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1990,12(10):1009 ～ 1017.
[2]
Besag J.On the statistical analysis of dirty data[J].Journal of the Royal Statistical Society,1986,48(3):259 ～302.
[3]
Geman S,Geman D.Stochsstic relaxation,Gibbs distributions and the Bayesian restoration of images[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1984,6(6):721 ～741.
[4]
Chen Xilin,Gao Wen,Zhang Jing.Motion analysis with stochastic approach[A].In:Proceedings of 3rd International Conference on Auto.Robotics and Computer Vision[C],Nangang,SINGAPORE,1994,3:1709 ～1713.
[5]
Gerhard Winkler.Image Analysis,Random Fields and Dynamic Monte Carlo Methods[M].Berlin Germany:Springer-Verlag,1995.
[6]
Smits P C,Dellepiane S G.Synthetic aperture radar image segmentation by a detail preserving Markov random field approach[J].IEEE Transactions on Geoscience and Remote Sensing,1997,35(4):844 ～857.
[7]
Chan M,Levitan E,Herman G T.Image-modeling Gibbs distributions for Bayesian restoration[J].IEEE Transactions on Image Analysis and Interpretation,1994,21(4):7 ～12.
[8]
Zhang Hong-mei,Yuan Ze-jian,Cai Zhong-min,et al.Segmentation of MRI using hierarchical markov random field[J].Journal of Software,2002,13(9):1779～1786.[张红梅,袁泽剑,蔡忠闽等.基于层次MRF的MR图像分割[J].软件学报,2002,13(9):1779 ～ 1786.]
[9]
Bouman C A,Shapiro M.A multiscale random field model for Bayesian image segmentation[J].IEEE Transactions on Image Processing,1994,3(2):162 ～177.
[10]
Laferte J M,Perez P,Heitz F.Discrete Markov image modeling and inference on the quadtree[J].IEEE Transactions on Image Processing,2000,9(3):390 ～404.
[11]
Sun J,Gu D,Zhang S,et al.Hidden markov bayesian texture segmentation using complex wavelet transform[J].IEE Proceedings Vision,Image and Signal Processing,2004,151(3):215 ～223.
[12]
Zhang Y,Brady M,Smith S.Segmentation of Brain MR images through a hidden Markov random field model and the expectation maximization algorithm[J].IEEE Transactions on Medical Imaging,2001,20(1):45 ～47.
[13]
Biernacki C,Celeux G,Govaert G.Assessing a mixture model for clustering with the integrated completed likelihood[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(7):719 ～725.
[14]
Sanjay-Gopal S,Hebert T J.Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm[J].IEEE Transactions on Image Processing,1998,7(7):1014 ～ 1028.
[15]
Hou Yu-hua,Song Jin-ping,Zhou Fu-na,et al.A new document segmentation based on subbands by wavelet-domain bidden markov tree models[J].Acta Electronics Sinica,2002,30(8):1180 ～1183.[侯玉华,宋锦萍,周福娜等.基于小波域隐马尔可夫模型的文本图像子带分割方法[J].电子学报,2002,30(8):1180～1183.]
[16]
Hou Yu-hua,Yang Xiao-yi,Song Jin-ping,et al.Multiscale document segmentation baesd on wavelet-domain multiscal hidden markov tree model[J].Journal of Electronics and Information Technology,2002,24(12):1879～1891.[侯玉华,杨晓艺,宋锦萍等.基于小波域多状态隐马尔可夫树模型多尺度文本图像分割[J].电子与信息学报,2002,24(12):1879～1891.]
[17]
Dubes R,Jain A,Nadabar S,et al.MRF model-based algorithms for image segmentation[A].In:Proceedings of the 10th International Conference on Pattern Recognition[C],Atlantic City,NJ,USA,1990,6:808 ～814.
[18]
Comer M L,Delp E J.Parameter estimation and segmentation of noisy or textured images using the em algorithm and mpm estimation[J].IEEE Transactions on Image Processing,1994,2(2):650 ～654.
[19]
Akaike H.Anew look at the statistical model identification[J].IEEE Transactions on Automatic Control,1974,19(6):712 ～723.
[20]
Rissanen J.Minimax entropy estimation of models for vector processes[J].System Identification:Advances Case Studies,1987,10 (3):97 ～ 119.
[21]
Wang Yue,Adali,Xuan Jian-hua,et al.Magnetic resonance image analysis by information theoretic criteria and stochastic site models[J].IEEE Transactions on Information Technology in Biomedicine,2001,5(2):150 ～158.
[22]
Huang Ning,Zhu Min-hui,Zhang Shou-rong.A remotely sensed image classification algorithm based on Gaussian hidden markov random field model[J].Journal of Electronics and Information Technology,2003,25(1):50～53.[黄宁,朱敏慧,张守融.一种采用高斯隐马尔可夫随机场模型的遥感图像分类算法[J].电子与信息学报,2003,25(1):50～53.]
[23]
Zhang Jun.The mean field theory in EM procedures for blind markov random field image restoration[J].IEEE Transactions on Image Processing,1993,2(1):27 ～40.
[24]
Blake A.Comparison of the efficiency of deterministic and stochastic algorithms for visual reconstruction[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1989,11 (1):2 ～ 12.
[25]
Lei T,Sewchand W.Statistical approach to X-ray CT imaging and its applications in image analysis-Part 2:A new stochastic model-based image segmentation technique for X-ray CT images[J].IEEE Transactions on Medical Image,1992,11(1):62 ～69.
[26]
Zheng R L,MacFall J R,Harrington D P.Parameter estimation and tissue segmentation from multispectral MR images[J].IEEE Transactions on Medical Image,1994,13(3):441 ～449.
[27]
Bouman C,Liu B.Multiple resolution segmentation of texture images[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1991,13(2):99 ～ 113.
[28]
Besag J.Spatial interaction and the statistical analysis of lattice systems[J].Journal of the Royal Statistical Society,1974,36 (2):192 ～ 236.
[29]
Li S Z.Markov Random Field Modeling in Computer Vision[M].Tokyo,Japan:Springer-Verlag,1995.
[30]
Lu Ming-jun,Wang Run-sheng.Reliable image segmentation based on Markov random field model[J].Acta Electronica Sinca,1999,27(2):87～89.[陆明俊,王润生.基于MRF模型的可靠的图像分割[J].电子学报,1999,27(2):87～89.]
[31]
Zhou W T,Song C Z.Image segmentation by data-driven markov chain monte carlo[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(5):657 ～673.
[32]
Kam A H,Fitzgerald W J.General unsupervised multiscale segmentation of images[A].In:Proceedings of Conference Record of the Thirty-third Asilomar on Signals,Systems,and Computers[C],Pacific Grove,CA,USA,1999,1:63～67.
[33]
Choi H,Baraniuk R G.Multiscale image segmentation using waveletdomain hidden markov models[J].IEEE Transactions on Image Processing,2001,10(9):1309 ～ 1321.
[34]
更多...
[35]
Fan Guo-liang,Xia Xiang-gen.A joint multicontext and multiscale approach to Bayesian image segmentation[J].IEEE Tansactions on Geoscience and Remote Sensing,2001,39(12):2680 ～2688.
[36]
Srinivas C,Srinath M D.Compound Gauss Markov random field model for image segmentation and restoration[J].Acoustics,Speech,and Signal Processing,1989,3(23):1586 ～1589.
[37]
Wang J P.Stochnstic relaxation on partitions with connected components and its application to image segmentation[J].IEEE Transactions on Pattern anAlysis and Machine Intelligence,1998,20(6):619 ～636.
[38]
Comer M L,Delp E J.The EM/MPM algorithm for segmentation of textured images:analysis and further exporimental result[J].IEEE Transactions on Image Processing,2000,9(10):1731 ～ 1744.
[39]
Mignotte M,Collet C.Three class Markov segmentation of high resolution sonar images[J].Computer Vision and Image Understanding,1999,76(3):191～204.
[40]
Jien Kato,Watanabe T,Joga S,et al.An hmm/mrf-based stochastic framework for robust vehicle tracking[J].IEEE Transactions on Intelligent Transportation Systems,2004,5(3):142 ～ 154.
[41]
Cheng H,Bouman C A.Multiscale Bayesian segmentation using a trainable context model[J].IEEE Transactions on Image Processing,2001,10(4):511 ～525.
[42]
David A,Forsyth,Jean Ponce.Computer Vision:A Modern Approach[M].Englewood Cliffs,NJ,USA:Publishing as Prentice Hall,2003:302～319.
[43]
Wang Yue,Adali Julay,Kung Sun-yuan,et al.Quantification and segmentation of brain tissues from MR images:a probablistic neural network approach[J].IEEE Transactions on Image Processing,1998,7(8):1168 ～ 1181.
[44]
Merhav N.The estimation of the model order in exponential families[J].IEEE Transactions on Information Theory,1989,35 (5):1109 ～ 1114.
[45]
Casella George,Berger Roger L.Statistical Inference[M].Beijing China:Thomosou Learning Asia and China Machine Press,2002.
[46]
Choi Hwan S,Haynor David R,Kim Yongmin.Partial volume Tissue classification of multichannel magnetic resonance images-a mixel Model[J].IEEE Transactions on Medical Image,1991,10 (3):395 ～ 407.
[47]
Dempster A P,Lard N M,Rubin D B.Maximum likelihood from incomplete data via EM algorithm[J].Journal Royal of Statistics Society,1977,39(1):1 ～ 37.
[48]
Lakshmanan S,Derin H.Simultaneous parameter estimation segmentation of Gibbs random fields using simulated annealing[J].IEEE Transactions on Pattern and Machine Intelligence,1989,11(8):799 ～813.
[49]
Deng Hua-wu,David A C.Unsupervised image segmentation using a simple MRF model with a new implementation scheme[J].The Journal of Pattern Recognition Society,2004,37 (27):2323 ～2335.
[50]
Fwu J,Djuric P.Unsupervised vector image segmentation by a tree structure-ICM algorithm[J].IEEE Transactions on Medical Image,1996,15(6):871 ～881.
[51]
Derin H,Elliott H.Modeling and segmentation of noisy and textured images using gibbs random fields[J].IEEE Transactions on Pattem Analysis Machine intelligence,1996,18(7):707 ～721.
