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Volumn 41, Issue , 2007, Pages 150-159

Improved fuzzy c-means segmentation algorithm for images with intensity inhomogeneity

Author keywords

Fuzzy c means; Image segmentation

Indexed keywords


EID: 59549089847     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/978-3-540-72432-2_16     Document Type: Article
Times cited : (4)

References (9)
  • 1
    • 0036489378 scopus 로고    scopus 로고
    • A Modified Fuzzy c-Means Algorithm For Bias Field Estimation and Segmentation of MRI Data
    • Mohamed N. Ahmed, Sameh M. Yamany et al: A Modified Fuzzy c-Means Algorithm For Bias Field Estimation and Segmentation of MRI Data. IEEE Transactions on Medical Imaging. 21 (3) (2002) 193-199.
    • (2002) IEEE Transactions on Medical Imaging , vol.21 , Issue.3 , pp. 193-199
    • Ahmed, M.N.1    Yamany, S.M.2
  • 2
    • 0032843554 scopus 로고    scopus 로고
    • Jerry L. Prince: An adaptive fuzzy c-means algorithm for image segmentation in the presence of intensity inhomogeneities
    • Dzung L. Pham, Jerry L. Prince: An adaptive fuzzy c-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognition Letters. 20, (1999) 57-68.
    • (1999) Pattern Recognition Letters , vol.20 , pp. 57-68
    • Pham, D.L.1
  • 3
    • 0027275316 scopus 로고
    • Review of MR Image Segmentation Techniques Using Pattern Recognition
    • J. C. Bezdek, L. O. Hall, L. P. Clarke: Review of MR Image Segmentation Techniques Using Pattern Recognition. Med. Phys. 20 (1993) 1033-1048.
    • (1993) Med. Phys , vol.20 , pp. 1033-1048
    • Bezdek, J.C.1    Hall, L.O.2    Clarke, L.P.3
  • 4
    • 17144412617 scopus 로고    scopus 로고
    • Giger: A fuzzy c-means (FCM) based algorithm for intenity inhomogeneity correction and segmentation of MR images
    • Weijie Chen, Maryellen L. Giger: A fuzzy c-means (FCM) based algorithm for intenity inhomogeneity correction and segmentation of MR images. IEEE International Symposium on Biomedical Imaging. (2004) 1307-1310.
    • (2004) IEEE International Symposium on Biomedical Imaging , pp. 1307-1310
    • Chen, W.1    Maryellen, L.2
  • 7
    • 0033181293 scopus 로고    scopus 로고
    • Jerry L. Prince: Adaptive Fuzzy Segmentation of Magnetic Resonance Images
    • Dzung L. Pham, Jerry L. Prince: Adaptive Fuzzy Segmentation of Magnetic Resonance Images. IEEE Transaction on Medical Imaging. 18 (3) (1999) 737-752.
    • (1999) IEEE Transaction on Medical Imaging , vol.18 , Issue.3 , pp. 737-752
    • Pham, D.L.1
  • 8
    • 11144308016 scopus 로고    scopus 로고
    • A Modified Fuzzy C-Means Algorithm for Segmentation of Magnetic Resonance Images
    • Sun C, Talbot H, Ourselin S. and Adriaansen T, Eds
    • Lei Jiang, Wenhui Yang: A Modified Fuzzy C-Means Algorithm for Segmentation of Magnetic Resonance Images. Proc. VIIth Digital Image Computing: Techniques and Applications, Sun C., Talbot H., Ourselin S. and Adriaansen T. (Eds.). (2003) 225-231.
    • (2003) Proc. VIIth Digital Image Computing: Techniques and Applications , pp. 225-231
    • Lei Jiang, W.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.