A random-field model-based algorithm for anomalous complex image pixel detection

M.G. Bello

doi:10.1109/83.136595

A random-field model-based algorithm for anomalous complex image pixel detection

IEEE Transactions on Image Processing ◽

10.1109/83.136595 ◽

1992 ◽

Vol 1 (2) ◽

pp. 186-196 ◽

Cited By ~ 5

Author(s):

M.G. Bello

Keyword(s):

Random Field ◽

Field Model ◽

Random Field Model ◽

Model Based ◽

Complex Image

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Semantic Segmentation of PolSAR Images Using Conditional Random Field Model Based on Deep Features

Journal of Physics Conference Series ◽

10.1088/1742-6596/1168/4/042008 ◽

2019 ◽

Vol 1168 ◽

pp. 042008

Author(s):

Tao Hu ◽

Wei-hua Li ◽

Xian-xiang Qin

Keyword(s):

Random Field ◽

Field Model ◽

Conditional Random Field ◽

Semantic Segmentation ◽

Random Field Model ◽

Model Based ◽

Conditional Random Field Model

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Gibbs random field model based 3D motion estimation from video sequences

10.1117/12.186006 ◽

1994 ◽

Author(s):

A. A. Alatan ◽

Levent Onural

Keyword(s):

Motion Estimation ◽

Random Field ◽

Field Model ◽

Video Sequences ◽

Gibbs Random Field ◽

Random Field Model ◽

3D Motion ◽

Model Based ◽

3D Motion Estimation

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Composite Kernel and Hybrid Discriminative Random Field Model Based on Feature Fusion for PolSAR Image Classification

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2020.2990711 ◽

2020 ◽

pp. 1-5

Author(s):

Wanying Song ◽

Yan Wu ◽

Ping Guo

Keyword(s):

Random Field ◽

Image Classification ◽

Field Model ◽

Feature Fusion ◽

Random Field Model ◽

Model Based ◽

Composite Kernel

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A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification

Lecture Notes in Computer Science - Pattern Recognition and Machine Intelligence ◽

10.1007/978-3-319-69900-4_9 ◽

2017 ◽

pp. 69-76

Author(s):

Abhiram Kumar Singh ◽

C. Chandra Sekhar

Keyword(s):

Random Field ◽

Field Model ◽

Conditional Random Field ◽

Two Stage ◽

Random Field Model ◽

Model Based ◽

Conditional Random Field Model

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A Markov random field model-based approach to image interpretation

Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.1989.37888 ◽

2003 ◽

Cited By ~ 6

Author(s):

J.W. Modestino ◽

J. Zhang

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Image Interpretation ◽

Random Field Model ◽

Markov Random Field Model ◽

Model Based ◽

Markov Random

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A new nonhomogeneous Markov random field model based on fuzzy membership for brain MRI segmentation

10.1117/12.832160 ◽

2009 ◽

Cited By ~ 1

Author(s):

Rong Xu ◽

Limin Luo

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Brain Mri ◽

Fuzzy Membership ◽

Mri Segmentation ◽

Random Field Model ◽

Markov Random Field Model ◽

Model Based ◽

Markov Random

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Advanced Markov random field model based on local uncertainty for unsupervised change detection

Remote Sensing Letters ◽

10.1080/2150704x.2015.1054045 ◽

2015 ◽

Vol 6 (9) ◽

pp. 667-676 ◽

Cited By ~ 8

Author(s):

Pengfei He ◽

Wenzhong Shi ◽

Zelang Miao ◽

Hua Zhang ◽

Liping Cai

Keyword(s):

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Field Model ◽

Random Field Model ◽

Markov Random Field Model ◽

Model Based ◽

Markov Random ◽

Local Uncertainty

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Markov Random Field Model-Based Edge-Directed Image Interpolation

IEEE Transactions on Image Processing ◽

10.1109/tip.2008.924289 ◽

2008 ◽

Vol 17 (7) ◽

pp. 1121-1128 ◽

Cited By ~ 93

Author(s):

Min Li ◽

T.Q. Nguyen

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Image Interpolation ◽

Random Field Model ◽

Markov Random Field Model ◽

Model Based ◽

Markov Random

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Gibbs random field model based 3-D motion estimation by weakened rigidity

Proceedings of 1st International Conference on Image Processing ◽

10.1109/icip.1994.413679 ◽

2002 ◽

Cited By ~ 4

Author(s):

A.A. Alatan ◽

L. Onural

Keyword(s):

Motion Estimation ◽

Random Field ◽

Field Model ◽

Gibbs Random Field ◽

Random Field Model ◽

Model Based

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A random field model based on nodal integration domain for stochastic analysis of heat transfer problems

International Journal of Thermal Sciences ◽

10.1016/j.ijthermalsci.2017.08.009 ◽

2017 ◽

Vol 122 ◽

pp. 231-247 ◽

Cited By ~ 11

Author(s):

T.J. Yang ◽

X.Y. Cui

Keyword(s):

Heat Transfer ◽

Random Field ◽

Stochastic Analysis ◽

Field Model ◽

Integration Domain ◽

Random Field Model ◽

Nodal Integration ◽

Model Based ◽

Transfer Problems

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