메뉴 건너뛰기




Volumn 17, Issue 10, 1995, Pages 939-954

Markov Random Field Models for Unsupervised Segmentation of Textured Color Images

Author keywords

color; color vision; computer vision; machine vision; Markov random fields; Segmentation; texture

Indexed keywords

ALGORITHMS; COLOR IMAGE PROCESSING; HIERARCHICAL SYSTEMS; IMAGE SEGMENTATION; MARKOV PROCESSES; TEXTURES;

EID: 0029394295     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.464559     Document Type: Article
Times cited : (378)

References (30)
  • 1
    • 0025550594 scopus 로고
    • Color image segmentation with detection of highlights and local illumination induced by inter-reflections
    • Atlantic City, N.J.
    • R. Bajcsy, S.W. Lee, and A. Leonardis, “Color image segmentation with detection of highlights and local illumination induced by inter-reflections,” Proc. Int'l Conf. Pattern Recognition, pp. 785–790, Atlantic City, N.J., 1990.
    • (1990) Proc. Int'l Conf. Pattern Recognition , pp. 785-790
    • Bajcsy, R.1    Lee, S.W.2    Leonardis, A.3
  • 2
    • 0024610590 scopus 로고
    • Hierarchy in picture segmentation: A stepwise optimization approach
    • Feb.
    • J.M. Beulieu and M. Goldberg, “Hierarchy in picture segmentation: A stepwise optimization approach,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no. 2, pp. 150–163, Feb. 1989.
    • (1989) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.11 , Issue.2 , pp. 150-163
    • Beulieu, J.M.1    Goldberg, M.2
  • 3
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • J. Besag, “Spatial interaction and the statistical analysis of lattice systems,” J. Royal Statistical Society B, vol. 36, pp. 192–236, 1974.
    • (1974) J. Royal Statistical Society B , vol.36 , pp. 192-236
    • Besag, J.1
  • 4
    • 0022026903 scopus 로고
    • Texture synthesis and compression using Gaussian-Markov random field models
    • Mar.-Apr.
    • R. Chellappa, S. Chatterjee, and R. Bagdazian, “Texture synthesis and compression using Gaussian-Markov random field models,” IEEE Trans. Systems, Man, and Cybernetics, vol. 8, no. 2, pp. 298–303, Mar.-Apr. 1985.
    • (1985) IEEE Trans. Systems, Man, and Cybernetics , vol.8 , Issue.2 , pp. 298-303
    • Chellappa, R.1    Chatterjee, S.2    Bagdazian, R.3
  • 7
    • 0008936345 scopus 로고
    • Markov random fields for image modeling and analysis
    • U. Desai, ed. Boston: Kluwer Academic
    • F. Cohen, “Markov random fields for image modeling and analysis,” U. Desai, ed., Modeling and Application of Stochastic Processes, pp. 243–272. Boston: Kluwer Academic, 1986.
    • (1986) Modeling and Application of Stochastic Processes , pp. 243-272
    • Cohen, F.1
  • 9
    • 0019229229 scopus 로고
    • Stocahstic boundary estimation and object recognition
    • Apr.
    • D. Cooper, “Stocahstic boundary estimation and object recognition,” Computer Graphics and Image Processing, pp. 326–355, Apr. 1980.
    • (1980) Computer Graphics and Image Processing , pp. 326-355
    • Cooper, D.1
  • 12
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • Nov.
    • S. Geman and D. Geman, “Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 6, no. 6, pp. 721–741, Nov. 1984.
    • (1984) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.6 , Issue.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 13
    • 0026727347 scopus 로고
    • Segmenting images using normalized color
    • Jan.
    • G. Healey, “Segmenting images using normalized color,” IEEE Trans. Systems, Man, and Cybernetics, vol. 22, pp. 64–73, Jan. 1992.
    • (1992) IEEE Trans. Systems, Man, and Cybernetics , vol.22 , pp. 64-73
    • Healey, G.1
  • 15
    • 0020498809 scopus 로고
    • Estimation and choice of neighbors in spatial interaction models of images
    • Jan.
    • R. Kashyap and R. Chellappa, “Estimation and choice of neighbors in spatial interaction models of images,” IEEE Trans. Information Theory, vol. 29, no. 1, pp. 60–72, Jan. 1983.
    • (1983) IEEE Trans. Information Theory , vol.29 , Issue.1 , pp. 60-72
    • Kashyap, R.1    Chellappa, R.2
  • 16
    • 0019728198 scopus 로고
    • Decision rules for choice of neighbors in random field models of images
    • R. Kashyap, R. Chellappa, and N. Ahuja, “Decision rules for choice of neighbors in random field models of images,” Computer Graphics and Image Processing, vol. 15, no. 1, pp. 301–318, 1981.
    • (1981) Computer Graphics and Image Processing , vol.15 , Issue.1 , pp. 301-318
    • Kashyap, R.1    Chellappa, R.2    Ahuja, N.3
  • 17
  • 18
    • 0024715149 scopus 로고
    • 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 Analysis and Machine Intelligence, vol. 11, pp. 799–813, Aug. 1989.
    • (1989) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.11 , pp. 799-813
    • Lakshmanan, S.1    Derin, H.2
  • 19
    • 0017502805 scopus 로고
    • Statistical interaction and statistical analysis of lattice systems
    • W.E. Larimore, “Statistical interaction and statistical analysis of lattice systems,” Proc. IEEE, vol. 65, pp. 961–970, 1977.
    • (1977) Proc. IEEE , vol.65 , pp. 961-970
    • Larimore, W.E.1
  • 20
  • 22
    • 84936898349 scopus 로고
    • Master's thesis, Dept. of Electrical and Computer Eng., Univ. of California, Irvine
    • D. Panjwani, “Segmentation of textured color images,” Master's thesis, Dept. of Electrical and Computer Eng., Univ. of California, Irvine, 1993.
    • (1993) “Segmentation of textured color images,”
    • Panjwani, D.1
  • 25
    • 0024294009 scopus 로고
    • Parallel integration of vision modules
    • Oct.
    • T. Poggio, E. Gamble, and J. Little, “Parallel integration of vision modules,” Science, vol. 242, pp. 436–440, Oct. 1988.
    • (1988) Science , vol.242 , pp. 436-440
    • Poggio, T.1    Gamble, E.2    Little, J.3
  • 27
    • 0024053904 scopus 로고
    • Bayesian clustering for unsupervised estimation of surface and texture models
    • July
    • J. Silverman and D. Cooper, “Bayesian clustering for unsupervised estimation of surface and texture models,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 10, no. 4, pp. 482–495, July 1988.
    • (1988) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.10 , Issue.4 , pp. 482-495
    • Silverman, J.1    Cooper, D.2
  • 28
    • 0015316602 scopus 로고
    • Two dimensional discrete Markov random fields
    • J. Woods, “Two dimensional discrete Markov random fields,” IEEE Trans. Information Theory, vol. 18, pp. 232–240, 1972.
    • (1972) IEEE Trans. Information Theory , vol.18 , pp. 232-240
    • Woods, J.1
  • 29
    • 0024663657 scopus 로고
    • A Markov random field approach to data fusion and color segmentation
    • W. Wright, “A Markov random field approach to data fusion and color segmentation,” Image and Vision Computing, vol. 7, pp. 144–150, 1989.
    • (1989) Image and Vision Computing , vol.7 , pp. 144-150
    • Wright, W.1
  • 30
    • 0017012414 scopus 로고
    • Boundary and object detection in real world images
    • Y. Yakimovsky, “Boundary and object detection in real world images,” J. ACM, vol. 23, pp. 599–618, 1976.
    • (1976) J. ACM , vol.23 , pp. 599-618
    • Yakimovsky, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.