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Volumn 13, Issue 5, 1991, Pages 478-482

Unsupervised Texture Segmentation Using Markov Random Field Models

Author keywords

Estimation; Gibbs distribution; Markov random field; relaxation; segmentation; simulated annealing

Indexed keywords

PROBABILITY - RANDOM PROCESSES;

EID: 0026152376     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.134046     Document Type: Letter
Times cited : (312)

References (11)
  • 1
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    • Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing
    • Aug.
    • S. Lakshmanan and H. Derin, “Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing,’ IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 799–813, Aug. 1989.
    • (1989) IEEE Trans. Pattern Anal. Machine Intell , vol.11 , pp. 799-813
    • Lakshmanan, S.1    Derin, H.2
  • 2
    • 0023123263 scopus 로고
    • Modeling and segmentation of noisy and textured images using Gibbs random fields
    • Jan.
    • H. Derin and H. Elliott, “Modeling and segmentation of noisy and textured images using Gibbs random fields,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-9, pp. 39–55, Jan. 1987.
    • (1987) IEEE Trans. Pattern Anal. Machine Intell , vol.PAMI-9 , pp. 39-55
    • Derin, H.1    Elliott, H.2
  • 5
    • 84939735923 scopus 로고
    • Unsupervised textured image segmentation
    • Rhode Island, Tech. Rep. 86–1, June
    • F. S. Cohen and Z. Fan, “Unsupervised textured image segmentation,” Dep. Elec. Eng., Univ. Rhode Island, Tech. Rep. 86–1, June 1986.
    • (1986) Dep. Elec. Eng., Univ
    • Cohen, F.S.1    Fan, Z.2
  • 6
    • 0023312371 scopus 로고
    • Simple parallel hierarchical and relaxation algorithms for segmenting noncausal Markovian fields
    • March
    • F. S. Cohen and D. B. Cooper, “Simple parallel hierarchical and relaxation algorithms for segmenting noncausal Markovian fields,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-9, pp. 195–219. March 1987.
    • (1987) IEEE Trans. Pattern Anal. Machine Intell , vol.PAMI-9 , pp. 195-219
    • Cohen, F.S.1    Cooper, D.B.2
  • 7
    • 0002480122 scopus 로고
    • Two-dimensional discrete Gaussian Markov random field models for image processing
    • L. N. Kanal and A. Rosenfeld, Eds. Amsterdam, The Netherlands: Elsevier Science (North-Holland)
    • R. Chellappa, “Two-dimensional discrete Gaussian Markov random field models for image processing,” in Progress in Pattern Recognition 2, L. N. Kanal and A. Rosenfeld, Eds. Amsterdam, The Netherlands: Elsevier Science (North-Holland), 1985, pp. 79–112.
    • (1985) Progress in Pattern Recognition 2 , pp. 79-112
    • Chellappa, R.1
  • 8
    • 0020498809 scopus 로고
    • Estimation and choice of neighbors in spatial interaction models of images
    • R. L. Kashyap and R. Chellappa, “Estimation and choice of neighbors in spatial interaction models of images,” IEEE Trans. Inform. Theory, vol. IT-29, pp. 60–72, 1983.
    • (1983) IEEE Trans. Inform. Theory , vol.IT-29 , pp. 60-72
    • Kashyap, R.L.1    Chellappa, R.2
  • 9
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • J. Besag, “On the statistical analysis of dirty pictures,” J. Royal Statist. Soc. B, vol. 48, pp. 259–302, 1986.
    • (1986) J. Royal Statist. Soc. B , vol.48 , pp. 259-302
    • Besag, J.1
  • 10
    • 0003679958 scopus 로고
    • Probabilistic solution of inverse problems
    • Ph.D. dissertation, Artificial Intell. Lab., Massachusetts Inst. Technol., Cam-bridge, Sept.
    • J. L. Marroquin, “Probabilistic solution of inverse problems,” Ph.D. dissertation, Artificial Intell. Lab., Massachusetts Inst. Technol., Cam-bridge, Sept. 1985.
    • (1985)
    • Marroquin, J.L.1
  • 11
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    • Unsupervised image segmentation using Markov random fields—Part I: Noisy images
    • preprint
    • C. S. Won and H. Derin, “Unsupervised image segmentation using Markov random fields—Part I: Noisy images,” preprint.
    • Won, C.S.1    Derin, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.