Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation

Jun Zhang; J.W. Modestino; D.A. Langan

doi:10.1109/83.298395

Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation

IEEE Transactions on Image Processing ◽

10.1109/83.298395 ◽

1994 ◽

Vol 3 (4) ◽

pp. 404-420 ◽

Cited By ~ 114

Author(s):

Jun Zhang ◽

J.W. Modestino ◽

D.A. Langan

Keyword(s):

Parameter Estimation ◽

Image Segmentation ◽

Maximum Likelihood ◽

Stochastic Model ◽

Model Based

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Parameter estimation of stochastic model-based image segmentation technique

10.1117/12.208691 ◽

1995 ◽

Author(s):

Tianhu Lei ◽

Wilfred Sewchand

Keyword(s):

Parameter Estimation ◽

Image Segmentation ◽

Stochastic Model ◽

Model Based ◽

Segmentation Technique

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Parameter estimation of stochastic model-based image segmentation technique

10.1117/12.208752 ◽

1995 ◽

Author(s):

Tianhu Lei ◽

Wilfred Sewchand

Keyword(s):

Parameter Estimation ◽

Image Segmentation ◽

Stochastic Model ◽

Model Based ◽

Segmentation Technique

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A model-fitting approach to cluster validation with application to stochastic model-based image segmentation

10.1109/icassp.1988.196800 ◽

2003 ◽

Cited By ~ 5

Author(s):

J. Zhang ◽

J.W. Modestino

Keyword(s):

Image Segmentation ◽

Stochastic Model ◽

Model Fitting ◽

Cluster Validation ◽

Model Based

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New MRF Parameter Estimation Technique for Texture Image Segmentation using Hierarchical GMRF Model Based on Random Spatial Interaction and Mean Field Theory

18th International Conference on Pattern Recognition (ICPR'06) ◽

10.1109/icpr.2006.856 ◽

2006 ◽

Author(s):

Dong Hwan Kim ◽

Il Dong Yun ◽

Sang Uk Lee

Keyword(s):

Field Theory ◽

Parameter Estimation ◽

Image Segmentation ◽

Spatial Interaction ◽

Mean Field Theory ◽

Mean Field ◽

Estimation Technique ◽

Texture Image ◽

Model Based ◽

Texture Image Segmentation

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A Model-Fitting Approach To Cluster Validation With Application To Stochastic Model-Based Image Segmentation

10.1117/12.970147 ◽

1989 ◽

Cited By ~ 3

Author(s):

J. W. Modestino ◽

J. Zhang

Keyword(s):

Image Segmentation ◽

Stochastic Model ◽

Model Fitting ◽

Cluster Validation ◽

Model Based

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Use of the mean-field approximation in an EM-based approach to unsupervised stochastic model-based image segmentation

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1992.226277 ◽

1992 ◽

Cited By ~ 10

Author(s):

D.A. Langan ◽

K.L. Molnar ◽

J.W. Modestino ◽

J. Zhang

Keyword(s):

Image Segmentation ◽

Stochastic Model ◽

Mean Field ◽

Field Approximation ◽

Mean Field Approximation ◽

Model Based ◽

The Mean

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Image Processing Technology. Stochastic Model-based Parameter Estimation and Restoration of Non-uniformly Blurred Images.

The Journal of The Institute of Image Information and Television Engineers ◽

10.3169/itej.55.878 ◽

2001 ◽

Vol 55 (6) ◽

pp. 878-885

Author(s):

Kazuhiro Fujita ◽

Hikaru Hasegawa ◽

Yasuo Yoshida

Keyword(s):

Image Processing ◽

Parameter Estimation ◽

Stochastic Model ◽

Processing Technology ◽

Model Based ◽

Image Processing Technology ◽

Blurred Images

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On the Performance of Stochastic Model-Based Image Segmentation

10.1117/12.970146 ◽

1989 ◽

Author(s):

Tianhu Lei ◽

Wilfred Sewchand

Keyword(s):

Image Segmentation ◽

Stochastic Model ◽

Model Based

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Cluster validation for unsupervised stochastic model-based image segmentation

Proceedings of 1st International Conference on Image Processing ◽

10.1109/icip.1994.413559 ◽

2002 ◽

Cited By ~ 5

Author(s):

D.A. Langan ◽

J.W. Modestino ◽

Jun Zhang

Keyword(s):

Image Segmentation ◽

Stochastic Model ◽

Cluster Validation ◽

Model Based

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A new stochastic model-based image segmentation technique for MR image

Proceedings of 1st International Conference on Image Processing ◽

10.1109/icip.1994.413556 ◽

2002 ◽

Cited By ~ 3

Author(s):

Yue Wang ◽

Tianhu Lei

Keyword(s):

Image Segmentation ◽

Stochastic Model ◽

Mr Image ◽

Model Based ◽

Segmentation Technique

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