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Volumn , Issue , 2010, Pages 3273-3279

Vessel scale-selection using MRF optimization

Author keywords

[No Author keywords available]

Indexed keywords

ERROR MEASUREMENTS; FEATURE DETECTION ALGORITHM; GRAPH LABELINGS; MARKOV RANDOM FIELDS; MEDICAL IMAGES; MULTI-LABEL; RETINAL IMAGE; SELECTION ALGORITHM; VASCULAR STRUCTURES; VESSEL EXTRACTION;

EID: 77955998867     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540051     Document Type: Conference Paper
Times cited : (15)

References (38)
  • 2
    • 0028392841 scopus 로고
    • A multiscale random field model for bayesian image segmentation
    • C.A. Bouman and M. Shapiro. A multiscale random field model for bayesian image segmentation. IEEE TIP, 3(2):162-177, 1994.
    • (1994) IEEE TIP , vol.3 , Issue.2 , pp. 162-177
    • Bouman, C.A.1    Shapiro, M.2
  • 3
    • 33746427122 scopus 로고    scopus 로고
    • Graph cuts and efficient n-d image segmentation
    • Y. Boykov and G. Funka-Lea. Graph cuts and efficient n-d image segmentation. IJCV, 70(2):109-131, 2006.
    • (2006) IJCV , vol.70 , Issue.2 , pp. 109-131
    • Boykov, Y.1    Funka-Lea, G.2
  • 4
    • 0034844730 scopus 로고    scopus 로고
    • Interactive graph cuts for optimal boundary and region segmentation of objects in n-D images
    • Y. Boykov and M. Jolly. Interactive graph cuts for optimal boundary and region segmentation of objects in n-D images. IEEE ICCV, 1:105-112, 2001.
    • (2001) IEEE ICCV , vol.1 , pp. 105-112
    • Boykov, Y.1    Jolly, M.2
  • 5
    • 0032292330 scopus 로고    scopus 로고
    • Markov random fields with efficient approximations
    • Y. Boykov, O. Veksler, and R. Zabih. Markov random fields with efficient approximations. In IEEE CVPR, pages 648-655, 1998.
    • (1998) IEEE CVPR , pp. 648-655
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 7
    • 0028940671 scopus 로고
    • An algorithm for MR angiography image enhancement
    • H. Chen and J. Hale. An algorithm for MR angiography image enhancement. MRM, 33(4):534-540, 1995.
    • (1995) MRM , vol.33 , Issue.4 , pp. 534-540
    • Chen, H.1    Hale, J.2
  • 8
    • 0029129408 scopus 로고
    • Receptive-field dynamics in the central visual pathways
    • G. DeAngelis, I. Ohzawa, and R. Freeman. Receptive-field dynamics in the central visual pathways. Trends in Neurosciences, 18(10):451-458, 1995.
    • (1995) Trends in Neurosciences , vol.18 , Issue.10 , pp. 451-458
    • DeAngelis, G.1    Ohzawa, I.2    Freeman, R.3
  • 9
    • 30344464095 scopus 로고    scopus 로고
    • Semi-automatic choice of scale-dependent features for satellite sar image classification
    • F. Dell'Acqua, P. Gamba, and G. Trianni. Semi-automatic choice of scale-dependent features for satellite sar image classification. Pattern Recognition Letters, 27(4):244-251, 2006.
    • (2006) Pattern Recognition Letters , vol.27 , Issue.4 , pp. 244-251
    • Dell'Acqua, F.1    Gamba, P.2    Trianni, G.3
  • 10
    • 58149507724 scopus 로고    scopus 로고
    • Mumford-shah regularizer with contextual feedback
    • E. Erdem and S. Tari. Mumford-shah regularizer with contextual feedback. J. Math. Imaging Vis., 33(1):67-84, 2009.
    • (2009) J. Math. Imaging Vis. , vol.33 , Issue.1 , pp. 67-84
    • Erdem, E.1    Tari, S.2
  • 12
    • 0001956238 scopus 로고
    • Stochastic relaxation, gibbs distributions and the bayesian restoration of images
    • S. Geman, D. Geman, K. Abend, T. J. Harley, and L. N. Kanal. Stochastic relaxation, gibbs distributions and the bayesian restoration of images. Journal of Applied Statistics, 20(5):25-62, 1993.
    • (1993) Journal of Applied Statistics , vol.20 , Issue.5 , pp. 25-62
    • Geman, S.1    Geman, D.2    Abend, K.3    Harley, T.J.4    Kanal, L.N.5
  • 13
    • 0142039762 scopus 로고    scopus 로고
    • Exact optimization for markov random fields with convex priors
    • H. Ishikawa. Exact optimization for markov random fields with convex priors. IEEE TPAMI, 25(10):1333-1336, 2003.
    • (2003) IEEE TPAMI , vol.25 , Issue.10 , pp. 1333-1336
    • Ishikawa, H.1
  • 15
    • 57149141804 scopus 로고    scopus 로고
    • Texture analysis and segmentation using modulation features, generative models, and weighted curve evolution
    • I. Kokkinos, G. Evangelopoulos, and P. Maragos. Texture analysis and segmentation using modulation features, generative models, and weighted curve evolution. IEEE TPAMI, 31(1):142-157, 2009.
    • (2009) IEEE TPAMI , vol.31 , Issue.1 , pp. 142-157
    • Kokkinos, I.1    Evangelopoulos, G.2    Maragos, P.3
  • 16
    • 0029233647 scopus 로고
    • Multiscale detection of curvilinear structures in 2-D and 3-D image data
    • T.M. Koller, G. Gerig, G. Szekely, and D. Dettwiler. Multiscale detection of curvilinear structures in 2-D and 3-D image data. IEEE ICCV, page 864, 1995.
    • (1995) IEEE ICCV , pp. 864
    • Koller, T.M.1    Gerig, G.2    Szekely, G.3    Dettwiler, D.4
  • 17
    • 33750129298 scopus 로고    scopus 로고
    • Convergent tree-reweighted message passing for energy minimization
    • V. Kolmogorov. Convergent tree-reweighted message passing for energy minimization. IEEE TPAMI, 28(10):1568-1583, 2006.
    • (2006) IEEE TPAMI , vol.28 , Issue.10 , pp. 1568-1583
    • Kolmogorov, V.1
  • 19
    • 77956003431 scopus 로고    scopus 로고
    • Automated retinal vessel segmentation using multiscale analysis and adaptive thresholding
    • Q. Li, J. You, L. Zhang, and P. Bhattacharya. Automated retinal vessel segmentation using multiscale analysis and adaptive thresholding. IEEE SSIAI, 1:139-143, 2006.
    • (2006) IEEE SSIAI , vol.1 , pp. 139-143
    • Li, Q.1    You, J.2    Zhang, L.3    Bhattacharya, P.4
  • 22
    • 37849006869 scopus 로고    scopus 로고
    • Landmark-based non-rigid registration via graph cuts
    • H. Lombaert, Y. Sun, and F. Cheriet. Landmark-based non-rigid registration via graph cuts. LNCS, pages 166-175, 2007.
    • (2007) LNCS , pp. 166-175
    • Lombaert, H.1    Sun, Y.2    Cheriet, F.3
  • 23
    • 61849147989 scopus 로고    scopus 로고
    • Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2D and 3D medical images
    • C. Lorenz, I. Carlsen, T. Buzug, C. Fassnacht, and J. Weese. Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2D and 3D medical images. CVRMed-MRCAS, pages 233-242, 1997.
    • (1997) CVRMed-MRCAS , pp. 233-242
    • Lorenz, C.1    Carlsen, I.2    Buzug, T.3    Fassnacht, C.4    Weese, J.5
  • 24
    • 33750239675 scopus 로고    scopus 로고
    • Vessel crawlers: 3D physically-based deformable organisms for vasculature segmentation and analysis
    • C. McIntosh and G. Hamarneh. Vessel crawlers: 3D physically-based deformable organisms for vasculature segmentation and analysis. In IEEE CVPR, pages 1084-1091, 2006.
    • (2006) IEEE CVPR , pp. 1084-1091
    • McIntosh, C.1    Hamarneh, G.2
  • 26
    • 52949100468 scopus 로고    scopus 로고
    • Scale-dependent 3D geometric features
    • J. Novatnack and K. Nishino. Scale-dependent 3D geometric features. IEEE ICCV, pages 1-8, 2007.
    • (2007) IEEE ICCV , pp. 1-8
    • Novatnack, J.1    Nishino, K.2
  • 27
    • 79551680407 scopus 로고    scopus 로고
    • Live-vessel: Extending livewire for simultaneous extraction of optimal medial and boundary paths in vascular images
    • M. Poon, G. Hamarneh, and R. Abugharbieh. Live-vessel: Extending livewire for simultaneous extraction of optimal medial and boundary paths in vascular images. In MICCAI, pages 444-451, 2007.
    • (2007) MICCAI , pp. 444-451
    • Poon, M.1    Hamarneh, G.2    Abugharbieh, R.3
  • 30
    • 37549032039 scopus 로고    scopus 로고
    • Supervised enhancement filters: Application to fissure detection in chest ct scans
    • E.M. Rikxoort, B. Ginneken,M. Klik, and M. Prokop. Supervised enhancement filters: Application to fissure detection in chest ct scans. IEEE TMI, 27(1):1-10, 2008.
    • (2008) IEEE TMI , vol.27 , Issue.1 , pp. 1-10
    • Rikxoort, E.M.1    Ginneken, B.2    Klik, M.3    Prokop, M.4
  • 34
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE TPAMI, 22(8):888-905, 2000.
    • (2000) IEEE TPAMI , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 36
    • 43249091850 scopus 로고    scopus 로고
    • A comparative study of energy minimization methods for markov random fields with smoothness-based priors
    • R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, and C. Rother. A comparative study of energy minimization methods for markov random fields with smoothness-based priors. IEEE TPAMI, 30(6):1068-1080, 2008.
    • (2008) IEEE TPAMI , vol.30 , Issue.6 , pp. 1068-1080
    • Szeliski, R.1    Zabih, R.2    Scharstein, D.3    Veksler, O.4    Kolmogorov, V.5    Agarwala, A.6    Tappen, M.7    Rother, C.8
  • 37
    • 79551686722 scopus 로고    scopus 로고
    • Non-rigid image registration using graph-cuts
    • T. Tang and A. Chung. Non-rigid image registration using graph-cuts. MICCAI, pages 916-924, 2007.
    • (2007) MICCAI , pp. 916-924
    • Tang, T.1    Chung, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.