Modeling and segmentation of noisy and textured images using Gibbs random fields

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Modeling and segmentation of noisy and textured images using Gibbs random fields

Source

IEEE Transactions on Pattern Analysis and Machine Intelligence archive
Volume 9 , Issue 1 (January 1987) table of contents

Pages: 39 - 55

Year of Publication: 1987

ISSN:0162-8828

Authors

H. Derin
H. Elliott

Publisher

IEEE Computer Society Washington, DC, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 64

Additional Information:

cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	10.1109/TPAMI.1987.4767871

CITED BY 64

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	A. J. Gray , J. W. Kay , D. M. Titterington, An Empirical Study of the Simulation of Various Models used for Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.16 n.5, p.507-513, May 1994
	S. Arivazhagan , L. Ganesan, Texture classification using wavelet transform, Pattern Recognition Letters, v.24 n.9-10, p.1513-1521, 01 June 2003
	A. N. Rajagopalan , S. Chaudhuri, An MRF Model-Based Approach to Simultaneous Recovery of Depth and Restoration from Defocused Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.21 n.7, p.577-589, July 1999
	J. L. Chen , A. Kundu, Rotation and Gray Scale Transform Invariant Texture Identification using Wavelet Decomposition and Hidden Markov Model, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.16 n.2, p.208-214, February 1994
	L. Onural , M. Bilge Alp , M. I. Gürelli, Gibbs Random Field Model Based Weight Selection for the 2-D Adaptive Weighted Median Filter, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.16 n.8, p.831-837, August 1994
	Michal Strzelecki, Segmentation of MRI trabecular-bone images using network of synchronised oscillators, Machine Graphics & Vision International Journal, v.11 n.1, p.77-99, 2002
	S. Arivazhagan , L. Ganesan, Texture segmentation using wavelet transform, Pattern Recognition Letters, v.24 n.16, p.3197-3203, December 2003
	Feng Li , Jiaxiong Peng, Double random field models for remote sensing image segmentation, Pattern Recognition Letters, v.25 n.1, p.129-139, 5 January 2004
	Song Chun Zhu , Xiuwen Liu, Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.24 n.7, p.1001-1006, July 2002
	J. Zhang , J. W. Modestino, A Model-Fitting Approach to Cluster Validation with Application to Stochastic Model-Based Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.12 n.10, p.1009-1017, October 1990
	M. I. Gürelli , L. Onural, On a Parameter Estimation Method for Gibbs-Markov Random Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.16 n.4, p.424-430, April 1994
	Ari Veijanen, A Simulation-Based Estimator for Hidden Markov Random Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.8, p.825-830, August 1991
	Sateesha G. Nadabar , Anil K. Jain, Parameter Estimation in Markov Random Field Contextual Models Using Geometric Models of Objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.18 n.3, p.326-329, March 1996
	Xavier Descombes , Frithjof Kruggel, A Markov Pixon Information Approach for Low-Level Image Description, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.21 n.6, p.482-494, June 1999
	Levent Onural, Generating Connected Textured Fractal Patterns Using Markov Random Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.8, p.819-825, August 1991
	D. Geman , S. Geman , C. Graffigne , P. Dong, Boundary Detection by Constrained Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.12 n.7, p.609-628, July 1990
	Donald Geman , George Reynolds, Constrained Restoration and the Recovery of Discontinuities, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.14 n.3, p.367-383, March 1992
	Janusz Konrad , Eric Dubois, Bayesian Estimation of Motion Vector Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.14 n.9, p.910-927, September 1992
	Carlos F. Borges, On the Estimation of Markov Random Field Parameters, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.21 n.3, p.216-224, March 1999
	François Destrempes , Max Mignotte, A Statistical Model for Contours in Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.26 n.5, p.626-638, May 2004
	Hstau Y. Liao , Gabor T. Herman, Automated estimation of the parameters of Gibbs priors to be used in binary tomography, Discrete Applied Mathematics, v.139 n.1-3, p.149-170, 30 April 2004
	B. S. Manjunath , R. Chellappa, Unsupervised Texture Segmentation Using Markov Random Field Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.5, p.478-482, May 1991
	J. Goutsias , J. M. Mendel, Simultaneous Optimal Segmentation and Model Estimation of Nonstationary Noisy Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.11 n.9, p.990-998, September 1989
	Alexandra Pizurica , Wilfried Philips , Ignace Lemahieu , Marc Acheroy, The application of Markov random field models to wavelet-based image denoising, Imaging and vision systems: theory, assessment and applications, Nova Science Publishers, Inc., Commack, NY, 2001
	Javier Portilla , Eero P. Simoncelli, A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients, International Journal of Computer Vision, v.40 n.1, p.49-70, Oct. 2000
	B. B. Chaudhuri , Nirupam Sarkar, Texture Segmentation Using Fractal Dimension, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.17 n.1, p.72-77, January 1995
	James W. Modestino , Jun Zhang, A Markov Random Field Model-Based Approach to Image Interpretation, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.14 n.6, p.606-615, June 1992
	Xiangyu Yang , Jun Liu, Maximum entropy random fields for texture analysis, Pattern Recognition Letters, v.23 n.1-3, p.93-101, January 2002
	S. z. Li, On Discontinuity-Adaptive Smoothness Priors in Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.17 n.6, p.576-586, June 1995
	P. J. Besl , R. C. Jain, Segmentation through Variable-Order Surface Fitting, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.10 n.2, p.167-192, March 1988
	Yihua Yu , Qiansheng Cheng, MRF parameter estimation by an accelerated method, Pattern Recognition Letters, v.24 n.9-10, p.1251-1259, 01 June 2003
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	Charles Bouman , Bede Liu, Multiple Resolution Segmentation of Textured Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.2, p.99-113, February 1991
	A. Khotanzad , J.-Y. Chen, Unsupervised Segmentation of Textured Images by Edge Detection in Multidimensional Feature, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.11 n.4, p.414-421, April 1989
	Ibrahim M. Elfadel , Rosalind W. Picard, Gibbs Random Fields, Cooccurrences, and Texture Modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.16 n.1, p.24-37, January 1994
	Judith F. Silverman , David B. Cooper, Bayesian Clustering for Unsupervised Estimation of Surface and Texture Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.10 n.4, p.482-495, July 1988
	Fernand S. Cohen , Zhigang Fan , Stephane Attali, Automated Inspection of Textile Fabrics Using Textural Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.8, p.803-808, August 1991
	S. Lakshmanan , H. Derin, Simultaneous Parameter Estimation and Segmentation of Gibbs Random Fields Using Simulated Annealing, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.11 n.8, p.799-813, August 1989
	Stan Z. Li, Parameter Estimation for Optimal Object Recognition: Theory andApplication, International Journal of Computer Vision, v.21 n.3, p.207-222, Feb. 1997
	Nikos Paragios , Rachid Deriche, Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation, International Journal of Computer Vision, v.46 n.3, p.223-247, February-March 2002
	A. Blake, Comparison of the Efficiency of Deterministic and Stochastic Algorithms for Visual Reconstruction, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.11 n.1, p.2-12, January 1989
	H. D. Cheng , X. J. Shi , R. Min , L. M. Hu , X. P. Cai , H. N. Du, Approaches for automated detection and classification of masses in mammograms, Pattern Recognition, v.39 n.4, p.646-668, April, 2006
	R. Krishnamoorthi , K. Seetharaman, Image compression based on a family of stochastic models, Signal Processing, v.87 n.3, p.408-416, March, 2007
	S. Arivazhagan , L. Ganesan , S. Padam Priyal, Texture classification using Gabor wavelets based rotation invariant features, Pattern Recognition Letters, v.27 n.16, p.1976-1982, December 2006
	Engin Avci, An expert system based on Wavelet Neural Network-Adaptive Norm Entropy for scale invariant texture classification, Expert Systems with Applications: An International Journal, v.32 n.3, p.919-926, April, 2007
	S. Arivazhagan , L. Ganesan , S. Padam Priyal, Texture classification using Gabor wavelets based rotation invariant features, Pattern Recognition Letters, v.27 n.16, p.1976-1982, December, 2006
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	Feng Li , Jiaxiong Peng , Xiaojun Zheng, Object-based and semantic image segmentation using MRF, EURASIP Journal on Applied Signal Processing, v.2004 n.1, p.833-840, 1 January 2004
	Russell C. Hardie , Douglas R. Droege, A MAP estimator for simultaneous superresolution and detector nonuniformity correction, EURASIP Journal on Applied Signal Processing, v.2007 n.1, p.206-206, 1 January 2007
	Hongtu Zhu , Minggao Gu , Bradley Peterson, Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm, Statistics and Computing, v.17 n.2, p.163-177, June 2007
	N. Ikonomakis , K. N. Plataniotis , A. N. Venetsanopoulos, Color Image Segmentation for Multimedia Applications, Journal of Intelligent and Robotic Systems, v.28 n.1-2, p.5-20, June 2000
	Jutao Hao , Minglu Li, A supervised Bayesian method for cerebrovascular segmentation, WSEAS Transactions on Signal Processing, v.3 n.12, p.487-495, December 2007
	Ibrahim Turkoglu , Engin Avci, Comparison of wavelet-SVM and wavelet-adaptive network based fuzzy inference system for texture classification, Digital Signal Processing, v.18 n.1, p.15-24, January, 2008
	Ibrahim Turkoglu , Engin Avci, Comparison of wavelet-SVM and wavelet-adaptive network based fuzzy inference system for texture classification, Digital Signal Processing, v.18 n.1, p.15-24, January, 2008
	Lei Lin , Litao Zhu , Faguo Yang , Tianzi Jiang, A novel pixon-representation for image segmentation based on Markov random field, Image and Vision Computing, v.26 n.11, p.1507-1514, November, 2008
	Kamal E. Melkemi , Mohamed Batouche , Sebti Foufou, A Multiresolution Approach Based on MRF and Bak-Sneppen Models for Image Segmentation, Informatica, v.17 n.2, p.225-236, April 2006
	C. Rambabu , I. Chakrabarti, An Efficient Hillclimbing-based Watershed Algorithm and its Prototype Hardware Architecture, Journal of Signal Processing Systems, v.52 n.3, p.281-295, September 2008
	Zhenyu He , Xinge You , Yuan Yuan, Texture image retrieval based on non-tensor product wavelet filter banks, Signal Processing, v.89 n.8, p.1501-1510, August, 2009
	Lin Ma , Kuanquan Wang , David Zhang, A universal texture segmentation and representation scheme based on ant colony optimization for iris image processing, Computers & Mathematics with Applications, v.57 n.11-12, p.1862-1868, June, 2009
	Luis Garcia Ugarriza , Eli Saber , Sreenath Rao Vantaram , Vincent Amuso , Mark Shaw , Ranjit Bhaskar, Automatic image segmentation by dynamic region growth and multiresolution merging, IEEE Transactions on Image Processing, v.18 n.10, p.2275-2288, October 2009
	Matthias Mühlich , Til Aach, Analysis of multiple orientations, IEEE Transactions on Image Processing, v.18 n.7, p.1424-1437, July 2009
	Joost Rombaut , Aleksandra Pižurica , Wilfried Philips, Passive error concealment for wavelet-coded I-frames with an inhomogeneous Gauss-Markov random field model, IEEE Transactions on Image Processing, v.18 n.4, p.783-796, April 2009
	Dalila Benboudjema , Wojciech Pieczynski, Unsupervised image segmentation using triplet Markov fields, Computer Vision and Image Understanding, v.99 n.3, p.476-498, September 2005