Gaussian Markov random field based improved texture descriptor for image segmentation

Image and Vision Computing ◽

10.1016/j.imavis.2014.07.002 ◽

2014 ◽

Vol 32 (11) ◽

pp. 884-895 ◽

Author(s):

Chathurika Dharmagunawardhana ◽

Sasan Mahmoodi ◽

Michael Bennett ◽

Mahesan Niranjan

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Texture Descriptor ◽

Gaussian Markov Random Field ◽

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An information-theoretic wavelet-based texture descriptor using Gaussian Markov random field models

Multimedia Tools and Applications ◽

10.1007/s11042-019-07916-3 ◽

2019 ◽

Vol 78 (22) ◽

pp. 31959-31986

Author(s):

Cédrick Bamba Nsimba ◽

Alexandre Levada

Keyword(s):

Random Field ◽

Markov Random Field ◽

Texture Descriptor ◽

Information Theoretic ◽

Gaussian Markov Random Field ◽

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Image segmentation for automatic particle identification in electron micrographs based on hidden Markov random field models and expectation maximization

Journal of Structural Biology ◽

10.1016/j.jsb.2003.11.028 ◽

2004 ◽

Vol 145 (1-2) ◽

pp. 123-141 ◽

Author(s):

V Singh

Keyword(s):

Image Segmentation ◽

Random Field ◽

Electron Micrographs ◽

Markov Random Field ◽

Expectation Maximization ◽

Hidden Markov ◽

Particle Identification ◽

Markov Random ◽

Hidden Markov Random Field

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Color Image Segmentation Using Entropy of Fuzziness and Markov Random Field

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)43276-9 ◽

1997 ◽

Vol 30 (7) ◽

pp. 269-274

Author(s):

R. Boussarsar ◽

P. Martin ◽

R. Lecordier ◽

M. Ketata

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Color Image ◽

Color Image Segmentation ◽

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Markov random field based image segmentation with adaptive neighborhoods to the detection of fine structures in SAR data

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.1996.516451 ◽

2002 ◽

Author(s):

P.C. Smits ◽

S. Dellepiane ◽

S.B. Serpico

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Markov Random ◽

Fine Structures ◽

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A new conception of image texture and remote sensing image segmentation based on Markov random field

Geo-spatial Information Science ◽

10.1007/s11806-010-0176-2 ◽

2010 ◽

Vol 13 (1) ◽

pp. 16-23 ◽

Author(s):

Yan Gong ◽

Ning Shu ◽

Jili Li ◽

Liqun Lin ◽

Xue Li

Keyword(s):

Remote Sensing ◽

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Remote Sensing Image ◽

Image Texture ◽

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Image Steganography Using an Eight-Element Neighborhood Gaussian Markov Random Field Model

Digital Forensics and Watermarking - Lecture Notes in Computer Science ◽

10.1007/978-3-030-43575-2_21 ◽

2020 ◽

pp. 247-255

Author(s):

Yichen Tong ◽

Jiangqun Ni ◽

Wenkang Su

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Image Steganography ◽

Random Field Model ◽

Markov Random Field Model ◽

Gaussian Markov Random Field ◽

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Image Segmentation by Markov Random Field Modeling

Image Processing with MATLAB ◽

10.1201/9781420008937-11 ◽

2008 ◽

pp. 295-326

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Field Modeling ◽

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Interactive Image Segmentation using Improved Adaptive Markov Random Field Approach

Indian Journal of Science and Technology ◽

10.17485/ijst/2017/v10i6/94636 ◽

2017 ◽

Vol 10 (6) ◽

pp. 1-9

Author(s):

G. S. Gowri ◽

P. Ponmuthuramalingam ◽

◽

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Field Approach ◽

Interactive Image Segmentation ◽

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A comparative study of Gaussian geostatistical models and Gaussian Markov random field models

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2008.01.012 ◽

2008 ◽

Vol 99 (8) ◽

pp. 1681-1697 ◽

Author(s):

Hae-Ryoung Song ◽

Montserrat Fuentes ◽

Sujit Ghosh

Keyword(s):

Comparative Study ◽

Random Field ◽

Markov Random Field ◽

Gaussian Markov Random Field ◽

Markov Random ◽

Geostatistical Models

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Classification of rotated and scaled textured images using Gaussian Markov random field models

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/34.67648 ◽

1991 ◽

Vol 13 (2) ◽

pp. 192-202 ◽

Author(s):

F.S. Cohen ◽

Z. Fan ◽

M.A. Patel

Keyword(s):

Random Field ◽

Markov Random Field ◽

Gaussian Markov Random Field ◽

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