메뉴 건너뛰기




Volumn 32, Issue 4, 1999, Pages 591-604

Unsupervised parallel image classification using Markovian models

Author keywords

Hierarchical model; Markov random field model; Parallel unsupervised image classification; Parameter estimation

Indexed keywords

ALGORITHMS; HIERARCHICAL SYSTEMS; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE SEGMENTATION; ITERATIVE METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; SIMULATED ANNEALING;

EID: 0033116536     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(98)00104-6     Document Type: Article
Times cited : (72)

References (22)
  • 2
    • 0024070401 scopus 로고
    • Image restoration using an estimated Markov model
    • B. Chalmond, Image restoration using an estimated markov model, Signal Process. 15 (1988) 115-129.
    • (1988) Signal Process , vol.15 , pp. 115-129
    • Chalmond, B.1
  • 3
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • J. Besag, On the statistical analysis of dirty pictures, J. Roy. Statist. Soc. B. 62 (1986) 259-302.
    • (1986) J. Roy. Statist. Soc. B , vol.62 , pp. 259-302
    • Besag, J.1
  • 5
    • 0027591549 scopus 로고
    • SEM algorithm and unsupervised statistical segmentation of satellite images
    • P. Masson, W. Pieczynski, SEM algorithm and unsupervised statistical segmentation of satellite images, IEEE Geosci. Remote Sensing 31 1993 618-633.
    • (1993) IEEE Geosci. Remote Sensing , vol.31 , pp. 618-633
    • Masson, P.1    Pieczynski, W.2
  • 6
    • 0000131927 scopus 로고
    • Statistical image segmentation
    • Naleczow, Poland. May
    • W. Pieczynski, Statistical image segmentation, Machine Graphics and Vision, GKPO'92, Naleczow, Poland. May 1992 pp. 261-268.
    • (1992) Machine Graphics and Vision, GKPO'92 , pp. 261-268
    • Pieczynski, W.1
  • 7
    • 0020780385 scopus 로고
    • Estimation of the parameters of a Gaussian mixture using the method of moments
    • K. Fukunaga, T. Flick, Estimation of the parameters of a Gaussian mixture using the method of moments, IEEE Trans. Pattern Anal. Mach. Intell. 5, 1983 410-416.
    • (1983) IEEE Trans. Pattern Anal. Mach. Intell. , vol.5 , pp. 410-416
    • Fukunaga, K.1    Flick, T.2
  • 8
    • 0023154824 scopus 로고
    • Estimation components of univariate Gaussian mixtures using prony's method
    • H. Derin, Estimation components of univariate Gaussian mixtures using prony's method, IEEE Trans. Pattern Anal. Mach. Intelli. 9 1987 142-148.
    • (1987) IEEE Trans. Pattern Anal. Mach. Intelli. , vol.9 , pp. 142-148
    • Derin, H.1
  • 9
    • 0019543792 scopus 로고
    • An approximate solution to normal mixture identification with application to unsupervised pattern classification
    • J.G. Postaire, C.P.A. Vasseur, An approximate solution to normal mixture identification with application to unsupervised pattern classification, IEEE Trans. Pattern Anal. and Mach. Intell. 3 1981 163-179.
    • (1981) IEEE Trans. Pattern Anal. and Mach. Intell. , vol.3 , pp. 163-179
    • Postaire, J.G.1    Vasseur, C.P.A.2
  • 10
    • 0039962448 scopus 로고
    • Bayesian image classification using Markov random fields
    • A.M.-D.G. Demoments, Kluwer Academic Publisher, Dordrecht
    • Z. Kato, J. Zerubia, M. Berthod, Bayesian image classification using markov random fields, in: Maximum Entropy and Bayesian Methods, A.M.-D.G. Demoments, Kluwer Academic Publisher, Dordrecht, 1993, pp. 375-382..
    • (1993) Maximum Entropy and Bayesian Methods , pp. 375-382
    • Kato, Z.1    Zerubia, J.2    Berthod, M.3
  • 13
    • 0022286091 scopus 로고
    • Bayesian image analysis by adaptive annealing
    • Amherst, USA October
    • D. Geman, Bayesian image analysis by adaptive annealing, in Proc. IGARSS'85, pp. 269-277. Amherst, USA October 1985.
    • (1985) Proc. IGARSS'85 , pp. 269-277
    • Geman, D.1
  • 14
    • 0024715149 scopus 로고
    • Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing
    • S. Lakshmanan, H. Derin, Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing, IEEE Trans. Pattern Anal. Mach. Intell. 11 (1989) 799-813.
    • (1989) IEEE Trans. Pattern Anal. Mach. Intell. , vol.11 , pp. 799-813
    • Lakshmanan, S.1    Derin, H.2
  • 16
    • 0003126626 scopus 로고
    • Global and local methods of unsupervised Bayesian segmentation of images
    • B. Braathen, W. Pieczynski, P. Masson, Global and local methods of unsupervised Bayesian segmentation of images, Mach. Graphics Vision. 2(1) (1993) 39-52.
    • (1993) Mach. Graphics Vision , vol.2 , Issue.1 , pp. 39-52
    • Braathen, B.1    Pieczynski, W.2    Masson, P.3
  • 21
    • 84997702290 scopus 로고
    • Use of the mean-field approximation in an EM-based approach to unsupervised stochastic model-based image segmentation
    • San Francisco
    • D.A. Langan, K.J. Molnar, J.W. Modestino, J. Zhang, Use of the mean-field approximation in an EM-based approach to unsupervised stochastic model-based image segmentation, Proc. ICASSP'92, San Francisco, 1992, pp. III-57-III-60.
    • (1992) Proc. ICASSP'92
    • Langan, D.A.1    Molnar, K.J.2    Modestino, J.W.3    Zhang, J.4
  • 22
    • 0027635418 scopus 로고
    • Mean field annealing using compound Gauss-Markov random fields for edge detection and image estimation
    • J. Zerubia, R. Chellappa, Mean field annealing using compound Gauss-Markov random fields for edge detection and image estimation, IEEE Trans. Neural Networks 8 (1993) 703-709.
    • (1993) IEEE Trans. Neural Networks , vol.8 , pp. 703-709
    • Zerubia, J.1    Chellappa, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.