메뉴 건너뛰기




Volumn , Issue , 2013, Pages 1473-1476

Multi-class regularization parameter learning for graph cut image segmentation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER-AIDED SYSTEMS; ENERGY MINIMIZATION; ESTIMATION SYSTEMS; GRAPH-CUT SEGMENTATIONS; MULTI-CLASS CLASSIFICATION; REGIONAL CHARACTERISTICS; REGULARIZATION PARAMETERS; SEGMENTATION RESULTS;

EID: 84881650916     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2013.6556813     Document Type: Conference Paper
Times cited : (10)

References (22)
  • 2
    • 84870800050 scopus 로고    scopus 로고
    • Detecting tuberculosis in radiographs using combined lung masks
    • S. Jaeger, et al., "Detecting tuberculosis in radiographs using combined lung masks," in IEEE Eng. in Medicine and Biology Society, 2012.
    • (2012) IEEE Eng. in Medicine and Biology Society
    • Jaeger, S.1
  • 4
    • 33746427122 scopus 로고    scopus 로고
    • Graph cuts and efficient N-D image segmentation
    • DOI 10.1007/s11263-006-7934-5
    • Y. Boykov and G. Funka-Lea, "Graph cuts and efficient n-d image segmentation," Int. J. of Computer Vision, vol. 70, pp. 109-131, 2006. (Pubitemid 44127252)
    • (2006) International Journal of Computer Vision , vol.70 , Issue.2 , pp. 109-131
    • Boykov, Y.1    Funka-Lea, G.2
  • 6
    • 33947241272 scopus 로고    scopus 로고
    • Estimating optimal parameters for MRF stereo from a single image pair
    • DOI 10.1109/TPAMI.2007.36
    • L. Zhang and S.M. Seitz, "Estimating optimal parameters for mrf stereo from a single image pair," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 2, pp. 331-342, 2007. (Pubitemid 46420891)
    • (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.29 , Issue.2 , pp. 331-342
    • Zhang, L.1    Seitz, S.M.2
  • 7
    • 47349101524 scopus 로고    scopus 로고
    • Maximum likelihood estimator for choosing the regularization parameters in global optical flow methods
    • K. Krajsek and R. Mester, "Maximum likelihood estimator for choosing the regularization parameters in global optical flow methods," in Int. Conf. on Image Processing, 2006, pp. 1081-1084.
    • (2006) Int. Conf. on Image Processing , pp. 1081-1084
    • Krajsek, K.1    Mester, R.2
  • 9
    • 84881627442 scopus 로고    scopus 로고
    • Adaptive contextual energy parameterization for automated image segmentation
    • J. Rao, et al., "Adaptive contextual energy parameterization for automated image segmentation," in Int. Symp. on Visual Computing, 2009.
    • (2009) Int. Symp. on Visual Computing
    • Rao, J.1
  • 10
    • 58149480054 scopus 로고    scopus 로고
    • Nonlocal convex functionals for image regularization
    • G. Gilboa, et al., "Nonlocal convex functionals for image regularization," UCLA CAM-report, 2006.
    • (2006) UCLA CAM-report
    • Gilboa, G.1
  • 11
    • 77955451284 scopus 로고    scopus 로고
    • Adaptive regularization parameter for graph cut segmentation
    • S. Candemir and Y. S. Akgul, "Adaptive regularization parameter for graph cut segmentation," in Int. Conf. on Image Analysis and Recognition, 2010, vol. 1, pp. 117-126.
    • (2010) Int. Conf. on Image Analysis and Recognition , vol.1 , pp. 117-126
    • Candemir, S.1    Akgul, Y.S.2
  • 12
    • 78149318376 scopus 로고    scopus 로고
    • Adaptive regularization for image segmentation using local image curvature cues
    • J. Rao, et al., "Adaptive regularization for image segmentation using local image curvature cues," in European Conf. on Computer Vision, 2010, pp. 651-665.
    • (2010) European Conf. on Computer Vision , pp. 651-665
    • Rao, J.1
  • 17
    • 0036647193 scopus 로고    scopus 로고
    • Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
    • DOI 10.1109/TPAMI.2002.1017623
    • T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution grayscale and rotation invariant texture classification with local binary patterns," IEEE Trans. Pattern Anal. Mach. Intell., pp. 971-987, 2002. (Pubitemid 34835471)
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , Issue.7 , pp. 971-987
    • Ojala, T.1    Pietikainen, M.2    Maenpaa, T.3
  • 19
    • 28744449143 scopus 로고    scopus 로고
    • Segmentation of anatomical structures in chest radiographs using supervised methods: A comparative study on a public database
    • DOI 10.1016/j.media.2005.02.002, PII S1361841505000368
    • B. Ginneken, et al., "Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database," Medical Image Analysis, vol. 10, no. 1, pp. 19-40, 2006. (Pubitemid 41754725)
    • (2006) Medical Image Analysis , vol.10 , Issue.1 , pp. 19-40
    • Van Ginneken, B.1    Stegmann, M.B.2    Loog, M.3
  • 21
    • 41649087417 scopus 로고    scopus 로고
    • Segmenting lung fields in serial chest ratiographs using both population-based and patient-specific shape statistics
    • Y. Shi, et al., "Segmenting lung fields in serial chest ratiographs using both population-based and patient-specific shape statistics," IEEE Trans. Medical Imaging, vol. 27, no. 4, 2008.
    • (2008) IEEE Trans. Medical Imaging , vol.27 , Issue.4
    • Shi, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.