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Volumn 6, Issue , 2008, Pages 14-17

A new algorithm for image segmentation based on fast fuzzy c-means clustering

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY C MEANS CLUSTERING; FUZZY C-MEANS ALGORITHMS; GRAY HISTOGRAM; ITERATION STEP; MEAN VALUES; MEDIAN VALUE; NOISE IMMUNITY; NUMBER OF ITERATIONS; PEAK VALUES; SPATIAL CONSTRAINTS;

EID: 79551619942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.1466     Document Type: Conference Paper
Times cited : (7)

References (15)
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  • 2
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    • S. M. Yamany et al. A fuzzy hyperspectral classifier for automatic target recognition (ATR) systems. Pattern Recognition Letters 20 (1999) 1431-1438.
  • 3
    • 0036107314 scopus 로고    scopus 로고
    • M. S. Yang et al. Segmentation techniques for tissue differentiation in MRI of Ophthalmology using fuzzy clustering algorithms. Magnetic Resonance Imaging. 20 (2002) 173-179.
  • 4
    • 31544461548 scopus 로고    scopus 로고
    • K. S. Chuang et al. Fuzzy c-means clustering with spatial information for image segmentation. Computerized Medical Imaging and Graphics, 30 (2006) 9-15.
  • 5
    • 38949178111 scopus 로고    scopus 로고
    • M. Li, Y. S. Li. Fuzzy C-means clustering based on the gray and spatial feature for image segmentation. IEEE, 2006, pp. 1641-1646.
  • 6
    • 0030142628 scopus 로고    scopus 로고
    • W. Pedrycz. Conditional fuzzy c-means. Pattern Recognition Letters. 17 (1996) 625-631
  • 7
    • 0036489378 scopus 로고    scopus 로고
    • M. N. Ahmed, S. M. Yamany, N. Mohamed, A. A. Farag, and T. Moriarty. A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans. Med. Imaging, vol. 21, No. 3, 2002, pp. 193-199.
  • 8
    • 0141857203 scopus 로고    scopus 로고
    • A. W. C. Liew, H. Yan. An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation. IEEE Trans. Med. Imag., vol. 22, 2003, pp. 1063-1075.
  • 9
    • 0036779072 scopus 로고    scopus 로고
    • K. L. Wu, M. S. Yang. Alternative c-means clustering algorithms. Pattern Recognition 35 (2002) 2267-2278.
  • 10
    • 3543098627 scopus 로고    scopus 로고
    • S. C. Chen, D. Q. Zhang. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans. Systems Man Cybernet. B 34 (4) (2004) 1907-1916.
  • 11
    • 33750512945 scopus 로고    scopus 로고
    • W. L. Cai, S. C. Chen, D. Q. Zhang. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognition. 40 (2007) 825-838.
  • 12
    • 1542272476 scopus 로고    scopus 로고
    • L. Szilagyi, Z. Benyo, S. M. Szilagyii, H. S. Adam. MR brain image segmentation using an enhanced fuzzy c-means algorithm. in: 25th Annual International Conference of IEEE EMBS, 2003, pp. 17-21.
  • 13
    • 24344477133 scopus 로고    scopus 로고
    • M. Y. Siyal, L. Yu. An intelligent modified fuzzy c-means based algorithm for bias estimation and segmentation of brain MRI. Pattern Recognition Letters, 26 (2005) 2052-2062.
  • 14
    • 0032843554 scopus 로고    scopus 로고
    • D. L. Pham, J. L. Prince. An adaptive fuzzy c-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognition Letters. 20 (1999) 57-68.
  • 15
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    • A. B. Hamza, H. Krim. Image denoising: a nonlinear robust statistical approach. IEEE Trans. Signal Process. 49 (12) (2001) 3045-3053.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.