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Volumn 1, Issue , 2003, Pages 533-536

An improved fuzzy rule-based segmentation system

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL PROCESSING;

EID: 68849100664     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPA.2003.1224758     Document Type: Conference Paper
Times cited : (4)

References (10)
  • 3
    • 33746676488 scopus 로고
    • Fuzzy function rules by learning from examples
    • Arlington, Virginia
    • A. Wang and M. Mendel, "Fuzzy function rules by learning from examples", in Proc. IEEE Int. Symp. Intelligent Control, Arlington, Virginia, 1991, pp. 263-268.
    • (1991) Proc. IEEE Int. Symp. Intelligent Control , pp. 263-268
    • Wang, A.1    Mendel, M.2
  • 5
    • 0029280595 scopus 로고
    • Image segmentation using fuzzy rules derived from k-means clusters
    • April
    • Z. Chi and H. Yan, "Image segmentation using fuzzy rules derived from K-means clusters", Journal of Electronic Imaging, 4{2), April 1995, pp199-206.
    • (1995) Journal of Electronic Imaging , vol.4 , Issue.2 , pp. 199-206
    • Chi, Z.1    Yan, H.2
  • 8
    • 0003203234 scopus 로고    scopus 로고
    • A rule-based fuzzy segmentation system with automatic generation of membership functions for pathological brain mr images
    • C.W. Chang. H. Ying. G.R. Hillman, T.A. Kent, and J. Yen, "A rule-based fuzzy segmentation system with automatic generation of membership functions for pathological brain MR images", Computers and Biomedical research 1998, http://gopher.cs.tamu.edu/faculuty/yen/publications/index. html.
    • (1998) Computers and Biomedical Research
    • Chang, C.W.1    Ying, H.2    Hillman, G.R.3    Kent, T.A.4    Yen, J.5
  • 9
    • 0031621288 scopus 로고    scopus 로고
    • Using adaptative fuzzy rules for image segmentation
    • L.O. Hall, A. Namasivayam, "Using adaptative fuzzy rules for image segmentation", FUZZ-IEEE'98, 1998, http://modern..csee.usf.edu/~hall/ adrules/segment.html.
    • (1998) FUZZ-IEEE'98
    • Hall, L.O.1    Namasivayam, A.2
  • 10
    • 0034240489 scopus 로고    scopus 로고
    • Automated segmentation of human brain mr images aided by fuzzy information granulation and fuzzy inference
    • August
    • Y. Hata, S. Kobashi, S. Hirano, H. Kitagaki and E. Mori, "Automated segmentation of human brain MR images aided by fuzzy information granulation and fuzzy inference", IEEE Transactions on Systems, Man, and Cybernetics, vol. 30, No. 3, August 2000, pp381-395.
    • (2000) IEEE Transactions on Systems, Man, and Cybernetics , vol.30 , Issue.3 , pp. 381-395
    • Hata, Y.1    Kobashi, S.2    Hirano, S.3    Kitagaki, H.4    Mori, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.