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Volumn 18, Issue 6, 2003, Pages 657-678

Segmentation and classification of biological cell images by a multifractal approach

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CELLS; COMPUTATIONAL METHODS; COMPUTER VISION; TUMORS;

EID: 0038578351     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.10110     Document Type: Article
Times cited : (9)

References (26)
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    • Keller, J.M.K.1    Chen, S.2
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    • Fractal dimension segmentation of synthetic aperture radar images
    • Blackledge JM, Fowler E. Fractal dimension segmentation of synthetic aperture radar images. Image Proc Appl 1992;445-449.
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    • Blackledge, J.M.1    Fowler, E.2
  • 20
    • 0004521142 scopus 로고
    • Localised fractal dimension measurement in digital mammographic images
    • Burdett CJ, Desai M. Localised fractal dimension measurement in digital mammographic images. SPIE 1993;2094:141-151.
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    • Burdett, C.J.1    Desai, M.2
  • 21
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    • Image feature extraction and segmentation using fractal dimension
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    • Liu, Y.1    Li, Y.2
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    • Peleg, S.1
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    • Improving consistency and reducing ambiguity in stochastic labeling: An optimisation approach
    • Faugeras OD, Berthod M. Improving consistency and reducing ambiguity in stochastic labeling: An optimisation approach. IEEE Trans Pattern Anal Machine Intell 1981;3(4): 412-424.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.