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Volumn 34, Issue 2, 2012, Pages 315-327

Image segmentation by probabilistic bottom-up aggregation and cue integration

Author keywords

Computer vision; cue integration; image segmentation; segmentation evaluation

Indexed keywords

ALGORITHM COMPLEXITY; CUE INTEGRATION; EVALUATION SCHEME; HIERARCHICAL SEGMENTATION; IMAGE PIXELS; IMAGE SEGMENTATION ALGORITHM; MIXTURE OF EXPERTS; PROBABILISTIC APPROACHES; PROBABILISTIC FORMULATION; PROBABILITY MEASURES; SEGMENTATION ALGORITHMS; SEGMENTATION EVALUATION; TEXTURE DISTRIBUTIONS;

EID: 84055212070     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2011.130     Document Type: Article
Times cited : (370)

References (39)
  • 2
    • 34548133659 scopus 로고    scopus 로고
    • Segmentation of multivariate mixed data via lossy data coding and compression
    • DOI 10.1109/TPAMI.2007.1085
    • Y. Ma, H. Derksen, W. Hong, and J. Wright, "Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 9, pp. 1546-1562, Sept. 2007. (Pubitemid 47299910)
    • (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.29 , Issue.9 , pp. 1546-1562
    • Ma, Y.1    Derksen, H.2    Hong, W.3    Wright, J.4
  • 3
    • 0021518209 scopus 로고
    • Stochastic relaxation, gibbs distributions, and the bayesian restoration of images
    • 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. (Pubitemid 15453722)
    • (1984) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.PAMI-6 , Issue.6 , pp. 721-741
    • Geman Stuart1    Geman Donald2
  • 5
    • 84990602490 scopus 로고
    • Optimal approximations by piecewise smooth functions and associated variational problems
    • D. Mumford and J. Shah, "Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems," Comm. Pure and Applied Math., vol. 42, no. 5, pp. 577-685, 1989.
    • (1989) Comm. Pure and Applied Math. , vol.42 , Issue.5 , pp. 577-685
    • Mumford, D.1    Shah, J.2
  • 6
    • 0042941558 scopus 로고    scopus 로고
    • A variational framework for image segmentation combining motion estimation and shape regularization
    • D. Cremers, "A Variational Framework for Image Segmentation Combining Motion Estimation and Shape Regularization," Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, vol. 1, p. 53, 2003.
    • (2003) Proc. IEEE CS Conf. Computer Vision and Pattern Recognition , vol.1 , pp. 53
    • Cremers, D.1
  • 9
    • 0027697605 scopus 로고
    • An optimal graph theoretic approach to data clustering: Theory and its application to image segmentation
    • Nov.
    • Z. Wu and R. Leahy, "An Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1101-1113, Nov. 1993.
    • (1993) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.15 , Issue.11 , pp. 1101-1113
    • Wu, Z.1    Leahy, R.2
  • 17
    • 33747472134 scopus 로고    scopus 로고
    • Hierarchy and adaptivity in segmenting visual scenes
    • DOI 10.1038/nature04977, PII NATURE04977
    • E. Sharon, M. Galun, D. Sharon, R. Basri, and A. Brandt, "Hierarchy and Adaptivity in Segmenting Visual Scenes," Nature, vol. 442, no. 7104, pp. 810-813, June 2006. (Pubitemid 44258910)
    • (2006) Nature , vol.442 , Issue.7104 , pp. 810-813
    • Sharon, E.1    Galun, M.2    Sharon, D.3    Basri, R.4    Brandt, A.5
  • 19
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color, and texture cues
    • May
    • D.R. Martin, C. Fowlkes, and J. Malik, "Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 5, pp. 530-549, May 2004.
    • (2004) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.26 , Issue.5 , pp. 530-549
    • Martin, D.R.1    Fowlkes, C.2    Malik, J.3
  • 22
    • 0026172104 scopus 로고
    • Watersheds in digital spaces: An efficient algorithm based on immersion simulations
    • DOI 10.1109/34.87344
    • L. Vincent and P. Soille, "Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 6, pp. 583-598, June 1991. (Pubitemid 21675616)
    • (1991) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.13 , Issue.6 , pp. 583-598
    • Vincent Luc1    Soille Pierre2
  • 25
    • 0029394295 scopus 로고
    • Markov random field models for unsupervised segmentation of textured color images
    • Oct.
    • D.K. Panjwani and G. Healey, "Markov Random Field Models for Unsupervised Segmentation of Textured Color Images," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 10, pp. 939-954, Oct. 1995.
    • (1995) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.17 , Issue.10 , pp. 939-954
    • Panjwani, D.K.1    Healey, G.2
  • 28
    • 0035358181 scopus 로고    scopus 로고
    • Contour and texture analysis for image segmentation
    • DOI 10.1023/A:1011174803800
    • J. Malik, S. Belongie, T.K. Leung, and J. Shi, "Contour and Texture Analysis for Image Segmentation," Int'l J. Computer Vision, vol. 43, no. 1, pp. 7-27, 2001. (Pubitemid 32720090)
    • (2001) International Journal of Computer Vision , vol.43 , Issue.1 , pp. 7-27
    • Malik, J.1    Belongie, S.2    Leung, T.3    Shi, J.4
  • 29
    • 0025427592 scopus 로고
    • Preattentive texture discrimination with early vision mechanisms
    • J. Malik and P. Perona, "Preattentive Texture Discrimination with Early Vision Mechanisms," J. Optical Soc. Am. A, vol. 7, no. 5, pp. 923-932, 1990.
    • (1990) J. Optical Soc. Am. A , vol.7 , Issue.5 , pp. 923-932
    • Malik, J.1    Perona, P.2
  • 30
    • 84900510076 scopus 로고    scopus 로고
    • Non-negative matrix factorization with sparseness constraints
    • P.O. Hoyer, "Non-Negative Matrix Factorization with Sparseness Constraints," J. Machine Learning Research, vol. 5, pp. 1457-1469, 2004.
    • (2004) J. Machine Learning Research , vol.5 , pp. 1457-1469
    • Hoyer, P.O.1
  • 33
    • 0001927250 scopus 로고
    • Algebraic multigrid theory: The symmetric case
    • A. Brandt, "Algebraic Multigrid Theory: The Symmetric Case," Applied Math. and Computation, vol. 19, nos. 1-4, pp. 23-56, 1986.
    • (1986) Applied Math. and Computation , vol.19 , Issue.1-4 , pp. 23-56
    • Brandt, A.1
  • 34
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • D. Martin, C. Fowlkes, D. Tal, and J. Malik, "A Database of Human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics," Proc. IEEE Eighth Int'l Conf. Computer Vision, pp. 416-423, July 2001. (Pubitemid 32795086)
    • (2001) Proceedings of the IEEE International Conference on Computer Vision , vol.2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 36
    • 84855443228 scopus 로고    scopus 로고
    • www.wisdom.weizmann.ac.il/~vision/databases.html, 2011.
    • (2011)
  • 38
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • DOI 10.1109/34.1000236
    • D. Comaniciu and P. Meer, "Mean Shift: A Robust Approach Toward Feature Space Analysis," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 603-619, May 2002. (Pubitemid 34550429)
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , Issue.5 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 39
    • 80052640810 scopus 로고    scopus 로고
    • Technical Report UCB/EECS-2010-17, Electrical Eng. and Computer Science Dept., Univ. of California, Berkeley Feb.
    • P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik, "Contour Detection and Hierarchical Image Segmentation," Technical Report UCB/EECS-2010-17, Electrical Eng. and Computer Science Dept., Univ. of California, Berkeley, http://www.eecs.berkeley.e-du/Pubs/TechRpts/2010/EECS-2010-17.html, Feb. 2010.
    • (2010) Contour Detection and Hierarchical Image Segmentation
    • Arbelaez, P.1    Maire, M.2    Fowlkes, C.3    Malik, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.