메뉴 건너뛰기




Volumn , Issue , 2011, Pages 522-526

Image segmentation using kernel fuzzy c-means clustering on level set method on noisy images

Author keywords

Image segmentation; images; KFCM; level set method

Indexed keywords

CURVE PROPAGATION; FUZZY C MEAN; FUZZY C MEANS CLUSTERING; FUZZY MEMBERSHIP VALUES; IMAGES; INDICATOR FUNCTIONS; INITIAL CONTOUR; KFCM; LEVEL SET FUNCTIONS; LEVEL SET METHOD; MEDICAL IMAGES; NOISY IMAGE; REGIONS OF INTEREST; SALT-AND-PEPPER NOISE;

EID: 79954624842     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSP.2011.5739377     Document Type: Conference Paper
Times cited : (11)

References (19)
  • 2
    • 0036779072 scopus 로고    scopus 로고
    • Alternative c-means clustering algorthims
    • K.L. Wu, M. S. Yang, Alternative c-means clustering algorthims, Pattern Recognition vol.35, pp.2267-2278, 2002.
    • (2002) Pattern Recognition , vol.35 , pp. 2267-2278
    • Wu, K.L.1    Yang, M.S.2
  • 3
    • 0036625160 scopus 로고    scopus 로고
    • Kernel clustering algorthim
    • (in Chinese)
    • L. Zhang, W.D. Zhou, L.C. Jiao. Kernel clustering algorthim, Chinese J. Computers, vol25(6), pp.587-590, 2002(in Chinese).
    • (2002) Chinese J. Computers , vol.25 , Issue.6 , pp. 587-590
    • Zhang, L.1    Zhou, W.D.2    Jiao, L.C.3
  • 4
    • 44749084234 scopus 로고
    • Fronts propagating with curvature dependent speed: Algorthim's based on the hamilton-jacobi formulation
    • Osher S, Scthian J.A, Fronts propagating with curvature dependent speed: algorthim's based on the Hamilton-Jacobi formulation. Journal of Computational Physics, 1988, pp.12-49.
    • (1988) Journal of Computational Physics , pp. 12-49
    • Osher, S.1    Scthian, J.A.2
  • 9
    • 0036891794 scopus 로고    scopus 로고
    • A multiphase level set framework for image segmentation using the Mumford and Shah model
    • DOI 10.1023/A:1020874308076
    • Vese L A, Chan T F, A multiphase level set frame wor for image segmentation using the mumford and shah model. International Journal of Computer Vision, 2002, pp.271-293. (Pubitemid 35377416)
    • (2002) International Journal of Computer Vision , vol.50 , Issue.3 , pp. 271-293
    • Vese, L.A.1    Chan, T.F.2
  • 13
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • Dunn, J.C., A fuzzy relative of the ISODATA process and its use in detecting compact well-separated Clusters. J. Cybern., 1973, pp.32-57.
    • (1973) J. Cybern. , pp. 32-57
    • Dunn, J.C.1
  • 14
    • 58149141855 scopus 로고
    • A convergence thheorem for the fuzzy ISODATA clustering algorthims
    • Bezedek, J., A convergence thheorem for the fuzzy ISODATA clustering algorthims. IEEE Trans. Pattern Anal. Mach. Intell., 1980, pp 78-82.
    • (1980) IEEE Trans. Pattern Anal. Mach. Intell. , pp. 78-82
    • Bezedek, J.1
  • 18
    • 0030153642 scopus 로고    scopus 로고
    • Deformable models in medical image analysis: A survey
    • Mclnerney T, Terzopouls D, Deformable models in medical image analysis: a survey. Medical Analysis, 1996, pp.91-108.
    • (1996) Medical Analysis , pp. 91-108
    • Mclnerney, T.1    Terzopouls, D.2
  • 19
    • 0842300534 scopus 로고    scopus 로고
    • Clustering in completed data usig kernel-based fuzzy c-means algorthim
    • december Year of Publication:2003
    • Dao-Qiang Zhang, Song-Can Chen, Clustering in completed data usig Kernel-based fuzzy c-means algorthim. Neural Processing Letters Volume 18, Issue 3(december 2003) Pages: 155-162, Year of Publication:2003.
    • (2003) Neural Processing Letters , vol.18 , Issue.3 , pp. 155-162
    • Zhang, D.-Q.1    Chen, S.-C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.