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Volumn 24, Issue 1, 2013, Pages 47-61

Active contour model combining region and edge information

Author keywords

Active contour model; Edge information; Gaussian convolution; Global statistical information; Local statistical information; Regularization

Indexed keywords

ACTIVE CONTOUR MODEL; EDGE INFORMATION; GAUSSIAN CONVOLUTION; REGULARIZATION; STATISTICAL INFORMATION;

EID: 84872326266     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-011-0363-7     Document Type: Article
Times cited : (83)

References (42)
  • 2
    • 0035248865 scopus 로고    scopus 로고
    • Active contours without edges
    • 1039.68779 10.1109/83.902291
    • Chan T.; Vese L.: Active contours without edges. IEEE Trans. Image Process. 10(2), 266-277 (2001)
    • (2001) IEEE Trans. Image Process. , vol.10 , Issue.2 , pp. 266-277
    • Chan, T.1    Vese, L.2
  • 3
    • 0036474209 scopus 로고    scopus 로고
    • Geodesic active regions and level set methods for supervised texture segmetnation
    • 1012.68726 10.1023/A:1014080923068
    • Paragios N.; Deriche R.: Geodesic active regions and level set methods for supervised texture segmetnation. Int. J. Comput. Vis. 46(3), 223-247 (2002)
    • (2002) Int. J. Comput. Vis. , vol.46 , Issue.3 , pp. 223-247
    • Paragios, N.1    Deriche, R.2
  • 4
    • 0030210970 scopus 로고    scopus 로고
    • A variational level set approach to multiphase motion
    • 1408069 0860.65050 10.1006/jcph.1996.0167
    • Zhao H.; Chan T.; Merriman B.; Osher S.: A variational level set approach to multiphase motion. J. Comput. Phys. 127(1), 179-195 (1996)
    • (1996) J. Comput. Phys. , vol.127 , Issue.1 , pp. 179-195
    • Zhao, H.1    Chan, T.2    Merriman, B.3    Osher, S.4
  • 6
    • 0035425439 scopus 로고    scopus 로고
    • Curve evolution implementation of the Mumford-Shah Functional for image segmentation, denoising, interpolation, and magnification
    • 1062.68595 10.1109/83.935033
    • Tsai A.; Yezzi A.; Willsky A.S.: Curve evolution implementation of the Mumford-Shah Functional for image segmentation, denoising, interpolation, and magnification. IEEE Trans. Image Process. 10(8), 1169-1186 (2001)
    • (2001) IEEE Trans. Image Process. , vol.10 , Issue.8 , pp. 1169-1186
    • Tsai, A.1    Yezzi, A.2    Willsky, A.S.3
  • 7
    • 34248652981 scopus 로고    scopus 로고
    • Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA
    • 10.1016/j.media.2007.01.002
    • Hernandez M.; Frangi A.F.: Non-parametric geodesic active regions: method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA. Med. Image Anal. 11(3), 224-241 (2007)
    • (2007) Med. Image Anal. , vol.11 , Issue.3 , pp. 224-241
    • Hernandez, M.1    Frangi, A.F.2
  • 9
    • 0032028944 scopus 로고    scopus 로고
    • Snakes, shapes, and gradient vector flow
    • 1669528 0973.94003 10.1109/83.661186
    • Xu C.; Prince J.: Snakes, shapes, and gradient vector flow. IEEE Trans. Image Process. 7(3), 359-369 (1998)
    • (1998) IEEE Trans. Image Process. , vol.7 , Issue.3 , pp. 359-369
    • Xu, C.1    Prince, J.2
  • 12
    • 0031071476 scopus 로고    scopus 로고
    • Geodesic active contours
    • 0894.68131 10.1023/A:1007979827043
    • Caselles V.; Kimmel R.; Sapiro G.: Geodesic active contours. Int. J. Comput. Vis. 22(1), 61-79 (1997)
    • (1997) Int. J. Comput. Vis. , vol.22 , Issue.1 , pp. 61-79
    • Caselles, V.1    Kimmel, R.2    Sapiro, G.3
  • 15
    • 0028518095 scopus 로고
    • Region-based strategies for active contour models
    • 10.1007/BF01427153
    • Ronfard R.: Region-based strategies for active contour models. Int. J. Comput. Vis. 13(2), 229-251 (1994)
    • (1994) Int. J. Comput. Vis. , vol.13 , Issue.2 , pp. 229-251
    • Ronfard, R.1
  • 16
    • 0036891794 scopus 로고    scopus 로고
    • A multiphase level set framework for image segmentation using the Mumford and Shah model
    • 1012.68782 10.1023/A:1020874308076
    • Vese L.; Chan T.: A multiphase level set framework for image segmentation using the Mumford and Shah model. Int. J. Comput. Vis. 50(3), 271-293 (2002)
    • (2002) Int. J. Comput. Vis. , vol.50 , Issue.3 , pp. 271-293
    • Vese, L.1    Chan, T.2
  • 17
    • 4444371759 scopus 로고    scopus 로고
    • A statistically based fow for image segmentation
    • 10.1016/j.media.2004.06.006
    • Pichon E.; Tanenbaum A.; Kikins R.: A statistically based fow for image segmentation. Med. Image Anal. 8(3), 267-274 (2004)
    • (2004) Med. Image Anal. , vol.8 , Issue.3 , pp. 267-274
    • Pichon, E.1    Tanenbaum, A.2    Kikins, R.3
  • 18
    • 27744599498 scopus 로고    scopus 로고
    • A nonparametric statistical method for image segmentation using information theory and curve evolution
    • 2483313 10.1109/TIP.2005.854442
    • Kim J.; Fisher J.; Yezzi A.: A nonparametric statistical method for image segmentation using information theory and curve evolution. IEEE Trans. Image Process. 14(10), 1486-1502 (2005)
    • (2005) IEEE Trans. Image Process. , vol.14 , Issue.10 , pp. 1486-1502
    • Kim, J.1    Fisher, J.2    Yezzi, A.3
  • 20
    • 74749087232 scopus 로고    scopus 로고
    • Active contours with selective local or global segmentation: A new formulation and level set method
    • 10.1016/j.imavis.2009.10.009
    • Zhang K.; Zhang L.; Song H.; Zhou W.: Active contours with selective local or global segmentation: a new formulation and level set method. Image Vis. Comput. 28(4), 668-676 (2010)
    • (2010) Image Vis. Comput. , vol.28 , Issue.4 , pp. 668-676
    • Zhang, K.1    Zhang, L.2    Song, H.3    Zhou, W.4
  • 21
    • 34548675168 scopus 로고    scopus 로고
    • Globally adaptive region information for automatic color-texture image segmentation
    • 10.1016/j.patrec.2007.05.002
    • Allili M.S.; Ziou D.: Globally adaptive region information for automatic color-texture image segmentation. Pattern Recognit. Lett. 28(15), 1946-1956 (2007)
    • (2007) Pattern Recognit. Lett. , vol.28 , Issue.15 , pp. 1946-1956
    • Allili, M.S.1    Ziou, D.2
  • 25
    • 33646584465 scopus 로고    scopus 로고
    • A variational model for object segmentation using boundary information and shape prior driven by the Mumford-shad functional
    • 10.1007/s11263-006-6658-x
    • Bresson X.; Vandergheynst P.; Thiran J.: A variational model for object segmentation using boundary information and shape prior driven by the Mumford-shad functional. Int. J. Comput. Vis. 68(2), 145-162 (2006)
    • (2006) Int. J. Comput. Vis. , vol.68 , Issue.2 , pp. 145-162
    • Bresson, X.1    Vandergheynst, P.2    Thiran, J.3
  • 26
    • 84958155523 scopus 로고    scopus 로고
    • Combining edge, region, and shape information to segment the left ventricle in cardiac MR images
    • Utrecht
    • Jolly, M.: Combining edge, region, and shape information to segment the left ventricle in cardiac MR images. In: Proceedings of MICCAI, pp. 482-490. Utrecht (2001)
    • (2001) Proceedings of MICCAI , pp. 482-490
    • Jolly, M.1
  • 28
    • 84990602490 scopus 로고
    • Optimal approximations by piecewise smooth functions and associated variational problems
    • 997568 0691.49036 10.1002/cpa.3160420503
    • Mumford D.; Shah J.: Optimal approximations by piecewise smooth functions and associated variational problems. Commun. Pure Appl. Math. 42(5), 577-685 (1989)
    • (1989) Commun. Pure Appl. Math. , vol.42 , Issue.5 , pp. 577-685
    • Mumford, D.1    Shah, J.2
  • 31
    • 52649131914 scopus 로고    scopus 로고
    • Minimization of region-scalable fitting energy for image segmentation
    • 2517277 10.1109/TIP.2008.2002304
    • Li C.; Kao C.; Gore J.C.; Ding Z.: Minimization of region-scalable fitting energy for image segmentation. IEEE Trans. Image Process. 17(10), 1940-1949 (2008)
    • (2008) IEEE Trans. Image Process. , vol.17 , Issue.10 , pp. 1940-1949
    • Li, C.1    Kao, C.2    Gore, J.C.3    Ding, Z.4
  • 32
    • 70349320323 scopus 로고    scopus 로고
    • MRI tissue classification and bias field estimation based on coherent local intensity clustering: A unified energy minimization framework
    • Williamsburg
    • Li, C.; Xu, C.; Anderson, A.W.; Gore, J.C.: MRI tissue classification and bias field estimation based on coherent local intensity clustering: A unified energy minimization framework. In: International Conference on Information Processing in Medical Imaging (IPMI'09), pp.288-299. Williamsburg (2009)
    • (2009) International Conference on Information Processing in Medical Imaging (IPMI'09) , pp. 288-299
    • Li, C.1    Xu, C.2    Anderson, A.W.3    Gore, J.C.4
  • 34
    • 67651092103 scopus 로고    scopus 로고
    • Active contours driven by local Gaussian distribution fitting energy
    • 1197.94138 10.1016/j.sigpro.2009.03.014
    • Wang L.; Hei L.; Mishra A.; Li C.: Active contours driven by local Gaussian distribution fitting energy. Signal Process. 89(12), 2435-2447 (2009)
    • (2009) Signal Process. , vol.89 , Issue.12 , pp. 2435-2447
    • Wang, L.1    Hei, L.2    Mishra, A.3    Li, C.4
  • 35
    • 74449089236 scopus 로고    scopus 로고
    • Active contours driven by local image fitting energy
    • 1192.68624 10.1016/j.patcog.2009.10.010
    • Zhang K.; Song H.; Zhang L.: Active contours driven by local image fitting energy. Pattern Recognit. 43(4), 1199-1206 (2010)
    • (2010) Pattern Recognit. , vol.43 , Issue.4 , pp. 1199-1206
    • Zhang, K.1    Song, H.2    Zhang, L.3
  • 39
    • 69049085828 scopus 로고    scopus 로고
    • Non-local unsupervised variational image segmentation models
    • University of California, Los Angeles
    • Bresson, X.; Chan, T.F.: Non-local unsupervised variational image segmentation models, CAM-report-08-67. Department of Mathematics, University of California, Los Angeles (2008)
    • (2008) CAM-report-08-67. Department of Mathematics
    • Bresson, X.1    Chan, T.F.2
  • 41
    • 0025465145 scopus 로고
    • Scale-space and edge detection using anisotropic diffusion
    • 10.1109/34.56205
    • Perona P.; Malik J.: Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach.Intell. 12(7), 629-640 (1990)
    • (1990) IEEE Trans. Pattern Anal. Mach.Intell. , vol.12 , Issue.7 , pp. 629-640
    • Perona, P.1    Malik, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.