메뉴 건너뛰기




Volumn 17, Issue 2, 1995, Pages 211-217

A Bayesian Segmentation Methodology for Parametric Image Models

Author keywords

Bayes factor; Bayesian methods; likelihoods; Markov random field; range images; Statistical image segmentation; texture segmentation

Indexed keywords

COMPUTER VISION; IMAGE ANALYSIS; MARKOV PROCESSES; MATHEMATICAL MODELS; POLYNOMIALS; PROBABILITY; STATISTICAL METHODS;

EID: 0029250803     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.368166     Document Type: Article
Times cited : (27)

References (32)
  • 1
    • 0000584124 scopus 로고
    • Posterior Bayes factors
    • M. Aitkin, “Posterior Bayes factors,” J Royal Statistical Soc., vol. B53, no. 1, pp. 111-142, 1991.
    • (1991) J Royal Statistical Soc. , vol.B53 , Issue.1 , pp. 111-142
    • Aitkin, M.1
  • 3
    • 0001036017 scopus 로고
    • On optimally combining pieces of information, with application to estimating 3D complex-object position from range data
    • Sept.
    • R.M. Bolle and D.B. Cooper, “On optimally combining pieces of information, with application to estimating 3D complex-object position from range data,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, no. 5, pp. 619-638, Sept. 1986.
    • (1986) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.8 , Issue.5 , pp. 619-638
    • Bolle, R.M.1    Cooper, D.B.2
  • 4
    • 0023312371 scopus 로고
    • Simple parallel hierarchical and relaxation algorithms for segmenting noncausal Markovian random fields
    • Mar.
    • F.S. Cohen and D.B. Cooper, “Simple parallel hierarchical and relaxation algorithms for segmenting noncausal Markovian random fields,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 9, no. 2, pp. 195-219, Mar. 1987.
    • (1987) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.9 , Issue.2 , pp. 195-219
    • Cohen, F.S.1    Cooper, D.B.2
  • 5
    • 0026451901 scopus 로고
    • Maximum likelihood unsupervised textured image segmentation
    • May
    • F.S. Cohen and Z. Fan, “Maximum likelihood unsupervised textured image segmentation,” Computer Vision, Graphics, and Image Process, vol. 54, no. 3, pp. 239-251, May 1992.
    • (1992) Computer Vision, Graphics, and Image Process , vol.54 , Issue.3 , pp. 239-251
    • Cohen, F.S.1    Fan, Z.2
  • 6
    • 0025198768 scopus 로고
    • Texture feature performance for image segmentation
    • J.M.H. du Buf, M. Kardan, and M. Spann, “Texture feature performance for image segmentation,” Pattern Recognition, vol. 23, pp. 291-309, 1990.
    • (1990) Pattern Recognition , vol.23 , pp. 291-309
    • du Buf, J.M.H.1    Kardan, M.2    Spann, M.3
  • 7
    • 0022777806 scopus 로고
    • The representation, recognition, and locating of 3D objects
    • Fall
    • O.D. Faugeras and M. Hebert, “The representation, recognition, and locating of 3D objects,” Int'l J. of Robotics Research, vol. 5, no. 3, pp. 27-52, Fall 1986.
    • (1986) Int'l J. of Robotics Research , vol.5 , Issue.3 , pp. 27-52
    • Faugeras, O.D.1    Hebert, M.2
  • 8
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • Nov.
    • D. Geman and S. 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, D.1    Geman, S.2
  • 12
    • 0024856994 scopus 로고
    • Modeling sensors: Toward automatic generation of object recognition program
    • K. Ikeuchi and T. Kanade, “Modeling sensors: Toward automatic generation of object recognition program,” Computer Vision, Graphics, and Image Processing, vol. 48, pp. 50-79, 1989.
    • (1989) Computer Vision, Graphics, and Image Processing , vol.48 , pp. 50-79
    • Ikeuchi, K.1    Kanade, T.2
  • 14
    • 0020498809 scopus 로고
    • Estimation and choice of neighbors in spatial-interaction models of images
    • Jan.
    • R.L. 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.L.1    Chellappa, R.2
  • 15
    • 0000992191 scopus 로고
    • Approximate Bayes factors and orthogonal parameters, with application to testing equality of two binonmial proportions
    • RE. Kass and S.K. Vaidyanathan, “Approximate Bayes factors and orthogonal parameters, with application to testing equality of two binonmial proportions,” Royal Statistical Soc, vol. B54, pp. 129-144, 1992.
    • (1992) Royal Statistical Soc , vol.B54 , pp. 129-144
    • Kass, R.E.1    Vaidyanathan, S.K.2
  • 19
    • 0025575654 scopus 로고
    • Segmentation as the search for the best description of the image in terms of primitives
    • A. Leonardis, A. Gupta, and R. Bajcsy, “Segmentation as the search for the best description of the image in terms of primitives,” Proc. Int'l Conf. Computer Vision, pp. 121-125, 1990.
    • (1990) Proc. Int'l Conf. Computer Vision , pp. 121-125
    • Leonardis, A.1    Gupta, A.2    Bajcsy, R.3
  • 20
    • 84857602692 scopus 로고
    • An information theoretic robust sequential procedure for surface model order selection in noisy range data
    • M.J. Mirza and K.L. Boyer, “An information theoretic robust sequential procedure for surface model order selection in noisy range data,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 366-371, 1992.
    • (1992) Proc. IEEE Conf. Computer Vision and Pattern Recognition , pp. 366-371
    • Mirza, M.J.1    Boyer, K.L.2
  • 21
    • 0027795313 scopus 로고
    • Unsupervised segmentation of textured color images using Markov random fields
    • New York, June
    • D.K. Panjwani and G. Healey, “Unsupervised segmentation of textured color images using Markov random fields,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 776-777, New York, June 1993.
    • (1993) Proc. IEEE Conf. Computer Vision and Pattern Recognition , pp. 776-777
    • Panjwani, D.K.1    Healey, G.2
  • 23
    • 0001409882 scopus 로고
    • Bayes factors for outliers models using the device of imaginary observations
    • L.I. Pettit, “Bayes factors for outliers models using the device of imaginary observations,” J. Am. Statistical Assoc., vol. 87, pp. 541-544, 1992.
    • (1992) J. Am. Statistical Assoc. , vol.87 , pp. 541-544
    • Pettit, L.I.1
  • 25
    • 44949269634 scopus 로고
    • A review of recent texture segmentation and feature extraction techniques
    • May
    • T.R. Reed and J.M.H. du Buf, “A review of recent texture segmentation and feature extraction techniques,” Computer Vision, Graphics, and Image Process, vol. 57, pp. 359-372, May 1993.
    • (1993) Computer Vision, Graphics, and Image Process , vol.57 , pp. 359-372
    • Reed, T.R.1    du Buf, J.M.H.2
  • 27
    • 0024053904 scopus 로고
    • Bayesian clustering for unsupervised estimation of surface and texture models
    • July
    • J.F. Silverman and D.B. Cooper, “Bayesian clustering for unsupervised estimation of surface and texture models,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 10, no. 4, pp. 482-496, July 1988.
    • (1988) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.10 , Issue.4 , pp. 482-496
    • Silverman, J.F.1    Cooper, D.B.2
  • 28
    • 0000134224 scopus 로고
    • Bayes factors and choice criteria for linear models
    • A.F. M. Smith and D.J. Spiegelhalter, “Bayes factors and choice criteria for linear models,” J. Royal Statistical Soc, vol. B42, pp. 213-220, 1980.
    • (1980) J. Royal Statistical Soc , vol.B42 , pp. 213-220
    • Smith, A.F.M.1    Spiegelhalter, D.J.2
  • 29
    • 0000169287 scopus 로고
    • Bayesian modeling of uncertainty in low-level vision
    • Dec.
    • R. Szeliski, “Bayesian modeling of uncertainty in low-level vision,” Int'l J. Computer Vision, vol. 5, no. 3, pp. 271-301, Dec. 1990.
    • (1990) Int'l J. Computer Vision , vol.5 , Issue.3 , pp. 271-301
    • Szeliski, R.1
  • 30
    • 0026254852 scopus 로고
    • Estimation of planar curves, surfaces, and nonplanar space curves defined by implicit equations with applications to edge and range image segmentation
    • Nov.
    • G. Taubin, “Estimation of planar curves, surfaces, and nonplanar space curves defined by implicit equations with applications to edge and range image segmentation,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 11, pp. 1115-1137, Nov. 1991.
    • (1991) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.13 , Issue.11 , pp. 1115-1137
    • Taubin, G.1
  • 32
    • 0025505758 scopus 로고
    • A model-fitting approach to cluster validation with applications to stochastic model-based image segmentation
    • Oct.
    • J. Zhang and J.W. Modestino, “A model-fitting approach to cluster validation with applications to stochastic model-based image segmentation,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, no. 10, pp. 1009-1017, Oct. 1990.
    • (1990) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.12 , Issue.10 , pp. 1009-1017
    • Zhang, J.1    Modestino, J.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.