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Volumn 3708 LNCS, Issue , 2005, Pages 452-459

Skeletonization of noisy images via the method of Legendre moments

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; LEGENDRE MOMENT SKELETONIZATION METHOD (LMSM); MAXIMUM ENTROPY PRINCIPLE (M.E.P.); SKELETONIZATION;

EID: 33646179403     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11558484_57     Document Type: Conference Paper
Times cited : (2)

References (19)
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  • 3
    • 84880169143 scopus 로고    scopus 로고
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  • 6
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    • B.Meltzer and D.Michie, editors, chapter 22. Elsevier,New York
    • C. J. Hildich. Linear skeletons from square cupboards. In B.Meltzer and D.Michie, editors, Machine intelligence IV, chapter 22, pages 403-420. Elsevier,New York, 1969.
    • (1969) Machine Intelligence IV , pp. 403-420
    • Hildich, C.J.1
  • 7
    • 0015581337 scopus 로고
    • Biological shape and visual science (part 1)
    • February
    • H. Blum. Biological shape and visual science (part 1). Journal of Theoretical biology, 38(2):205-287, February 1973.
    • (1973) Journal of Theoretical Biology , vol.38 , Issue.2 , pp. 205-287
    • Blum, H.1
  • 9
    • 33845591831 scopus 로고
    • Smoothed local symmetries and their implementation
    • MIT, February
    • M. Brady and H. Asada. Smoothed local symmetries and their implementation. A.I. Memo 757, MIT, February 1984.
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  • 10
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    • institute for robotics and intelligent systems, university of Southern California, Los Angeles, California 90089-0273
    • P. Saint-marc and G. Medioni. B-spline contour representation and symmetry detection. Technical Report IRIS #262, institute for robotics and intelligent systems, university of Southern California, Los Angeles, California 90089-0273, 1990.
    • (1990) Technical Report IRIS #262
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    • Robust line fitting in a noisy image by the method of moments
    • H. Qjidaa and L. Radouane, Robust line fitting in a noisy image by the method of moments, IEEE Trans. Pattern. Anal. Machine Intell. 21 (1999) 1216-1223.
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  • 16


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.