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Volumn 1, Issue , 2011, Pages 545-549

An interval type-2 fuzzy c-means algorithm based on spatial information for image segmentation

Author keywords

FCM; Image segmentation; Spatial information; Type 2 fuzzy

Indexed keywords

CLASSIC ALGORITHM; FCM; FUZZY C-MEANS ALGORITHMS; SEGMENTATION RESULTS; SPATIAL INFORMATIONS; SUPPRESSING NOISE; TYPE-2 FUZZY;

EID: 80053397976     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2011.6019569     Document Type: Conference Paper
Times cited : (3)

References (9)
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    • Convergence and theory for fuzzy cmeans clustering: Counterexamples and repairs
    • Bezdek J C, Hathaway R J, et al. Convergence and theory for fuzzy cmeans clustering: counterexamples and repairs. IEEE Trans. PAMI, 1987, 17(5): 873-877.
    • (1987) IEEETrans. PAMI , vol.17 , Issue.5 , pp. 873-877
    • Bezdek, J.C.1    Hathaway, R.J.2
  • 4
    • 33947430572 scopus 로고    scopus 로고
    • Uncertain fuzzy clustering: Interval type-2 fuzzy approach to C-means
    • DOI 10.1109/TFUZZ.2006.889763, Extensions of Type-1 Fuzzy Sets
    • Cheul Hwang, Frank Chung-Hoon Rhee, Uncertain Fuzzy Clustering: Interval Type-2 Fuzzy Approach to C-Means. IEEE Transactions on Fuzzy Systems, 2007, 15(1): 107-120. (Pubitemid 46444307)
    • (2007) IEEE Transactions on Fuzzy Systems , vol.15 , Issue.1 , pp. 107-120
    • Hwang, C.1    Rhee, F.C.-H.2
  • 6
    • 0036489378 scopus 로고    scopus 로고
    • A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data
    • DOI 10.1109/42.996338, PII S0278006202040880
    • Ahmed M N, Yamany S M, Mohamed N, et al. A modified fuzzy Cmeans algorithm for bias field estimation and segmentation of MRI data. IEEE Trans on Medical Imaging. 2002,21(3):193-199 (Pubitemid 34630837)
    • (2002) IEEE Transactions on Medical Imaging , vol.21 , Issue.3 , pp. 193-199
    • Ahmed, M.N.1    Yamany, S.M.2    Mohamed, N.3    Farag, A.A.4    Moriarty, T.5
  • 8
    • 0001404416 scopus 로고
    • A new method of choosing the number of clusters for the fuzzy C-means method
    • Fukuyama Y, Sugeno M. A New Method of Choosing the Number of Clusters for the Fuzzy C-Means Method. In: Proceedings of 5th Fuzzy Systems Symposium, 1989: 247-250.
    • (1989) Proceedings of 5th Fuzzy Systems Symposium , pp. 247-250
    • Fukuyama, Y.1    Sugeno, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.