Unsupervised segmentation of noisy and textured images using Markov random fields
暂无分享,去创建一个
[1] Rama Chellappa,et al. Unsupervised Texture Segmentation Using Markov Random Field Models , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[2] John W. Woods,et al. Compound Gauss-Markov random fields for image estimation , 1991, IEEE Trans. Signal Process..
[3] Jun Zhang,et al. A Model-Fitting Approach to Cluster Validation with Application to Stochastic Model-Based Image Segmentation , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Donald Geman,et al. Boundary Detection by Constrained Optimization , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Rama Chellappa,et al. Stochastic and deterministic networks for texture segmentation , 1990, IEEE Trans. Acoust. Speech Signal Process..
[6] Sridhar Lakshmanan,et al. Simultaneous Parameter Estimation and Segmentation of Gibbs Random Fields Using Simulated Annealing , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Alireza Khotanzad,et al. Unsupervised Segmentation of Textured Images by Edge Detection in Multidimensional Feature , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Richard C. Dubes,et al. Experiments in projection and clustering by simulated annealing , 1989, Pattern Recognit..
[9] Kanti V. Mardia,et al. A Spatial Thresholding Method for Image Segmentation , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Patrick A. Kelly,et al. Adaptive segmentation of speckled images using a hierarchical random field model , 1988, IEEE Trans. Acoust. Speech Signal Process..
[11] A. Khotanzad,et al. A Parallel, Non-parametric, Non-iteratrve Clustering Algorithm With Application To Image Segmentation , 1988, Twenty-Second Asilomar Conference on Signals, Systems and Computers.
[12] L. Younes. Estimation and annealing for Gibbsian fields , 1988 .
[13] Chee Sun Won,et al. A parallel image segmentation algorithm using relaxation with varying neighborhoods and its mapping to array processors , 1987, Computer Vision Graphics and Image Processing.
[14] S. Sclove. Application of model-selection criteria to some problems in multivariate analysis , 1987 .
[15] R. Howard,et al. Local convergence analysis of a grouped variable version of coordinate descent , 1987 .
[16] Haluk Derin,et al. Segmentation of noisy textured images using simulated annealing , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[17] David B. Cooper,et al. Simple Parallel Hierarchical and Relaxation Algorithms for Segmenting Noncausal Markovian Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Emile H. L. Aarts,et al. Simulated annealing: A pedestrian review of the theory and some applications , 1987 .
[19] Haluk Derin,et al. Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Zhigang Fan,et al. Unsupervised Textured Image Segmentation , 1986, IAS.
[21] H. Derin,et al. Segmentation of textured images using Gibbs random fields , 1986 .
[22] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .
[23] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Shokri Z. Selim,et al. K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Stanley L. Sclove,et al. Application of the Conditional Population-Mixture Model to Image Segmentation , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Rangasami L. Kashyap,et al. Optimal Choice of AR and MA Parts in Autoregressive Moving Average Models , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] R. Kashyap. Inconsistency of the AIC rule for estimating the order of autoregressive models , 1980 .
[28] B. Everitt. Unresolved Problems in Cluster Analysis , 1979 .
[29] Anil K. Jain,et al. Validity studies in clustering methodologies , 1979, Pattern Recognit..
[30] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[31] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[32] Richard E. Wendell,et al. Minimization of a Non-Separable Objective Function Subject to Disjoint Constraints , 1976, Oper. Res..
[33] H. Akaike. A new look at the statistical model identification , 1974 .
[34] R. Dykstra. Establishing the Positive Definiteness of the Sample Covariance Matrix , 1970 .