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Volumn 8, Issue 3, 2010, Pages 623-641

Kernel density estimation basedmultiphase fuzzy region competition method for texture image segmentation

Author keywords

Fuzzy membership function; Kernel density estimation; Multiphase region competition; Texture; Total variation

Indexed keywords


EID: 77952677675     PISSN: 18152406     EISSN: 19917120     Source Type: Journal    
DOI: 10.4208/cicp.160609.311209a     Document Type: Article
Times cited : (23)

References (31)
  • 3
    • 69049085828 scopus 로고    scopus 로고
    • Non-local unsupervised variational image segmentation models
    • X. Bresson and T.F. Chan, Non-local unsupervised variational image segmentation models, UCLA cam report 08-67.
    • UCLA Cam Report 08-67
    • Bresson, X.1    Chan, T.F.2
  • 6
    • 1242352408 scopus 로고    scopus 로고
    • An algorithm for total variation minimization and applications
    • A. Chambolle, An algorithm for total variation minimization and applications, J. Math. Imaging. Vis., 20 (2004), 89-97.
    • (2004) J. Math. Imaging. Vis. , vol.20 , pp. 89-97
    • Chambolle, A.1
  • 9
    • 0000484603 scopus 로고    scopus 로고
    • Active contours without edges for vector-valued images
    • T. Chan, B. Sandberg and L. Vese. Active contours without edges for vector-valued images, J. Vis. Commun. Image. R., 11 (2000), 130-141.
    • (2000) J. Vis. Commun. Image. R. , vol.11 , pp. 130-141
    • Chan, T.1    Sandberg, B.2    Vese, L.3
  • 10
    • 33750153530 scopus 로고    scopus 로고
    • Algorithms for finding global minimizers of image segmentation and denoising models
    • T. F. Chan, S. Esedoglu andM.Nikolova, Algorithms for finding global minimizers of image segmentation and denoising models, SIAM. J. Appl. Math., 66 (2006), 1632-1648.
    • (2006) SIAM. J. Appl. Math. , vol.66 , pp. 1632-1648
    • Chan, T.F.1    Esedoglu, S.2    Nikolova, M.3
  • 12
    • 45549089360 scopus 로고    scopus 로고
    • A segmentation algorithm for SAR images based on the anisotropic heat diffusion equation
    • G. Gao, L. Zhao, J. Zhang, D. Zhou and J. Huang, A segmentation algorithm for SAR images based on the anisotropic heat diffusion equation, Pattern. Recogn., 41 (2008), 3035-3043.
    • (2008) Pattern. Recogn. , vol.41 , pp. 3035-3043
    • Gao, G.1    Zhao, L.2    Zhang, J.3    Zhou, D.4    Huang, J.5
  • 14
    • 77952701576 scopus 로고    scopus 로고
    • Fast texture segmentation model based on the shape operator and active contour
    • N. Houhou, J. P. Thiran and X. Bresson, Fast texture segmentation model based on the shape operator and active contour, Proc. Cvpr. IEEE., 2008.
    • (2008) Proc. Cvpr. IEEE.
    • Houhou, N.1    Thiran, J.P.2    Bresson, X.3
  • 15
    • 55149111865 scopus 로고    scopus 로고
    • A fast total variation minimization method for image restoration
    • Y. Huang, M. Ng and Y. Wen, A fast total variation minimization method for image restoration, SIAM. J. Multiscale. Modeling. Simulation., 7 (2008), 774-795.
    • (2008) SIAM. J. Multiscale. Modeling. Simulation. , vol.7 , pp. 774-795
    • Huang, Y.1    Ng, M.2    Wen, Y.3
  • 16
    • 27744599498 scopus 로고    scopus 로고
    • A nonparametric statistical method for image segmentation using information theory and curve evolution
    • J. Kim, J. Fisher, A. Yezzi, M. Cetin and A. Willsky, A nonparametric statistical method for image segmentation using information theory and curve evolution, IEEE. Trans. Image. Process., 14 (2005), 1486-1502.
    • (2005) IEEE. Trans. Image. Process. , vol.14 , pp. 1486-1502
    • Kim, J.1    Fisher, J.2    Yezzi, A.3    Cetin, M.4    Willsky, A.5
  • 18
    • 37249052940 scopus 로고    scopus 로고
    • Fuzzy region competition: A convex two-phase segmentation framework
    • F. Sgallari, A. Murli, and N. Paragios (Eds), SSVM 2007
    • B.Mory and R. Ardon, Fuzzy region competition: a convex two-phase segmentation framework, F. Sgallari, A. Murli, and N. Paragios (Eds.), SSVM 2007, LNCS 4485, pp. 214-226, 2007.
    • (2007) LNCS , vol.4485 , pp. 214-226
    • Mory, B.1    Ardon, R.2
  • 20
    • 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. Appl. Math., 42 (1989), 577-685.
    • (1989) Comm. Pure. Appl. Math. , vol.42 , pp. 577-685
    • Mumford, D.1    Shah, J.2
  • 21
    • 33750153530 scopus 로고    scopus 로고
    • Algorithms for finding global minimizers of image segmentation and denoising models
    • Mila Nikolova, Selim Esedoglu and Tony F. Chan, Algorithms for finding global minimizers of image segmentation and denoising models, SIAM. J. Appl. Math., 66 (2006), 1632-1648.
    • (2006) SIAM. J. Appl. Math. , vol.66 , pp. 1632-1648
    • Nikolova, M.1    Esedoglu, S.2    Chan, T.F.3
  • 23
    • 0036501664 scopus 로고    scopus 로고
    • Geodesic active regions: A new paradigm to deal with frame partition problems in computer vision
    • N. Paragios and R. Deriche, Geodesic active regions: a new paradigm to deal with frame partition problems in computer vision, J. Vis. Commun. Image. R., 13 (2002), 249-268.
    • (2002) J. Vis. Commun. Image. R. , vol.13 , pp. 249-268
    • Paragios, N.1    Deriche, R.2
  • 24
    • 0001473437 scopus 로고
    • On the estimation of a probability density function and mode
    • E. Parzen, On the estimation of a probability density function and mode, Ann. Math. Stat., 33 (1962), 1065-1076.
    • (1962) Ann. Math. Stat. , vol.33 , pp. 1065-1076
    • Parzen, E.1
  • 26
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithms
    • L.I. Rudin, S.Osher and E. Fatemi,Nonlinear total variation based noise removal algorithms, Physica. D., 60 (1992), 259-268.
    • (1992) Physica. D. , vol.60 , pp. 259-268
    • Rudin, L.I.1    Osher, S.2    Fatemi, E.3
  • 28
    • 33646424100 scopus 로고    scopus 로고
    • A stochastic-variational model for soft Mumford-Shah segmentation
    • Article ID 92329
    • J. Shen, A stochastic-variational model for soft Mumford-Shah segmentation, I. S. Biomed. Imaging., 2006, Article ID 92329, pp. 1-14.
    • (2006) I. S. Biomed. Imaging. , pp. 1-14
    • Shen, J.1
  • 30
    • 0033285075 scopus 로고    scopus 로고
    • A statistical approach to snakes for bimodal and trimodal imagery
    • A. Yezzi, Jr., A. Tsai and A.Willsky, A statistical approach to snakes for bimodal and trimodal imagery, Int. J. Comput. Vision., 1999, 898-903.
    • (1999) Int. J. Comput. Vision. , pp. 898-903
    • Yezzi Jr., A.1    Tsai, A.2    Willsky, A.3
  • 31
    • 0030247213 scopus 로고    scopus 로고
    • Region competition: Unifying snakes, region growing, and bayes/mdl for multiband image segmentation
    • S. C. Zhu and A. Yuille, Region competition: unifying snakes, region growing, and bayes/mdl for multiband image segmentation, IEEE. T. Pattern. Anal., 18 (1996), 884-900.
    • (1996) IEEE. T. Pattern. Anal. , vol.18 , pp. 884-900
    • Zhu, S.C.1    Yuille, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.