메뉴 건너뛰기




Volumn , Issue , 2007, Pages

Combining region and edge cues for image segmentation in a probabilistic Gaussian mixture framework

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; MATHEMATICAL MODELS;

EID: 34948882758     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383232     Document Type: Conference Paper
Times cited : (24)

References (16)
  • 1
    • 0022808786 scopus 로고    scopus 로고
    • J.F. Canny. A computational approach to edge detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(6):679-698, 1986. 1, 4
    • J.F. Canny. A computational approach to edge detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(6):679-698, 1986. 1, 4
  • 2
    • 0036684357 scopus 로고    scopus 로고
    • C. Carson, S. Belongie, H. Greenspan, and J. Malik. Blobworld: Image segmentation using Expectation-Maximization and its application to image querying. IEEE Trans. on Pattern Analysis and Machine Intelligence, 24(8):1026-1038, 2002. 1, 2
    • C. Carson, S. Belongie, H. Greenspan, and J. Malik. Blobworld: Image segmentation using Expectation-Maximization and its application to image querying. IEEE Trans. on Pattern Analysis and Machine Intelligence, 24(8):1026-1038, 2002. 1, 2
  • 5
    • 0041941135 scopus 로고    scopus 로고
    • Learning affinity functions for image segmentation: Combining patch-based and gradient-based approaches
    • C. Fowlkes, D. Martin, and J. Malik. Learning affinity functions for image segmentation: Combining patch-based and gradient-based approaches. In Computer Vision and Pattern Recognition (CVPR), pages 54-61, 2003. 1, 7, 8
    • (2003) Computer Vision and Pattern Recognition (CVPR) , vol.1 , Issue.7
    • Fowlkes, C.1    Martin, D.2    Malik, J.3
  • 7
    • 0035556168 scopus 로고    scopus 로고
    • H. Greenspan, J. Goldberger, and L. Ridel. A continuous probabilistic framework for image matching. Computer Vision and Image Understanding, 84:384-406, 2001. 1, 2, 7
    • H. Greenspan, J. Goldberger, and L. Ridel. A continuous probabilistic framework for image matching. Computer Vision and Image Understanding, 84:384-406, 2001. 1, 2, 7
  • 8
    • 33748123943 scopus 로고    scopus 로고
    • Constrained Guassian mixture model framework for automatic segmentation of MR brain images
    • H. Greenspan, A. Ruf, and J. Goldberger. Constrained Guassian mixture model framework for automatic segmentation of MR brain images. IEEE Trans. Med. Imaging, 25(9):1233-45, 2006. 1
    • (2006) IEEE Trans. Med. Imaging , vol.25 , Issue.9
    • Greenspan, H.1    Ruf, A.2    Goldberger, J.3
  • 10
    • 0034850577 scopus 로고    scopus 로고
    • 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. In International Conf. Computer Vision, 2, pages 416-423, 2001. 4, 6
    • 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. In International Conf. Computer Vision, volume 2, pages 416-423, 2001. 4, 6
  • 11
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • 66366
    • W. Rand. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66(366):846-850, 1971. 6
    • (1971) Journal of the American Statistical Association , vol.846-850 , pp. 6
    • Rand, W.1
  • 13
    • 0033701242 scopus 로고    scopus 로고
    • E. Sharon, A. Brandt, and R. Basri. Fast multiscale image segmentation. In Computer Vision and Pattern Recognition (CVPR), pages 70-77, 2000. 1
    • E. Sharon, A. Brandt, and R. Basri. Fast multiscale image segmentation. In Computer Vision and Pattern Recognition (CVPR), pages 70-77, 2000. 1
  • 14
    • 0035686651 scopus 로고    scopus 로고
    • E. Sharon, A Brandt, and R. Basri. Segmentation and boundary detection using multiscale intensity measurements. In Computer Vision and Pattern Recognition (CVPR), pages 469-476, 2001. 2
    • E. Sharon, A Brandt, and R. Basri. Segmentation and boundary detection using multiscale intensity measurements. In Computer Vision and Pattern Recognition (CVPR), pages 469-476, 2001. 2
  • 15
    • 0034244751 scopus 로고    scopus 로고
    • J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(8):888-905, 2000. 1, 2
    • J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(8):888-905, 2000. 1, 2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.