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Volumn , Issue , 2008, Pages 291-294

Succolarity: Defining a method to calculate this fractal measure

Author keywords

Binary analysis; Fractal measure; Percolation; Succolarity

Indexed keywords

DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; FILMS; FRACTALS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGING SYSTEMS; IMAGING TECHNIQUES; OPTICAL DATA PROCESSING; PATTERN RECOGNITION; SOCIAL ASPECTS; TEXTURES;

EID: 52949131020     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWSSIP.2008.4604424     Document Type: Conference Paper
Times cited : (58)

References (12)
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    • 52949094460 scopus 로고    scopus 로고
    • Using Fractal Characteristics such as Fractal Dimension, Lacunarity and Succolarity to Characterize Texture Patterns on Images
    • Master's Thesis, Federal Fluminense University, Link
    • R. H. C. de Melo; "Using Fractal Characteristics such as Fractal Dimension, Lacunarity and Succolarity to Characterize Texture Patterns on Images", Master's Thesis, Federal Fluminense University, 2007. Link: http://www.ic.uff.br/~rmelo/msc_thesis.htm.
    • (2007)
    • de Melo, R.H.C.1
  • 3
    • 52949100051 scopus 로고    scopus 로고
    • R. H. C. de Melo, E. A. Vieira and A. Conci; Comparing two approaches to compute Lacunarity of mammograms, IWSSIP 2006, Budapest, Hungary, 2006.
    • R. H. C. de Melo, E. A. Vieira and A. Conci; "Comparing two approaches to compute Lacunarity of mammograms", IWSSIP 2006, Budapest, Hungary, 2006.
  • 4
    • 33750242883 scopus 로고    scopus 로고
    • Characterizing the lacunarity of objects and image sets and its use as a technique for the analysis of textural patterns
    • Springer Berlin, Antwerp, Belgium
    • R. H. C. de Melo, E. A. Vieira and A. Conci, "Characterizing the lacunarity of objects and image sets and its use as a technique for the analysis of textural patterns", LNCS, vol. 4179, p. 208-219 Springer Berlin, Antwerp, Belgium, 2006.
    • (2006) LNCS , vol.4179 , pp. 208-219
    • de Melo, R.H.C.1    Vieira, E.A.2    Conci, A.3
  • 5
    • 0026927227 scopus 로고
    • An efficient approach to estimate Fractal Dimension of textural images
    • N. Sarkar, B. B. Chaudhuri, "An efficient approach to estimate Fractal Dimension of textural images", Pattern Recognition, vol. 25, p. 1035-1041, 1992.
    • (1992) Pattern Recognition , vol.25 , pp. 1035-1041
    • Sarkar, N.1    Chaudhuri, B.B.2
  • 6
    • 0000498214 scopus 로고
    • Efficient box-counting determination of generalized Fractal Dimensions
    • A. Block, W. von Bloh, and H. J. Schellnhuber, "Efficient box-counting determination of generalized Fractal Dimensions", Physical Review A, vol. 42, p. 1869-1874, 1990.
    • (1990) Physical Review A , vol.42 , pp. 1869-1874
    • Block, A.1    von Bloh, W.2    Schellnhuber, H.J.3
  • 9
    • 0032208410 scopus 로고    scopus 로고
    • A Fractal Image Analysis System for Fabric Inspection Based on a Box-Counting Method
    • Elsevier Science, Amsterdam
    • A. Conci and C. B. Proença, "A Fractal Image Analysis System for Fabric Inspection Based on a Box-Counting Method", Computer Networks and ISDN Systems, vol. 30, p. 1887-1895, Elsevier Science, Amsterdam, 1998.
    • (1998) Computer Networks and ISDN Systems , vol.30 , pp. 1887-1895
    • Conci, A.1    Proença, C.B.2
  • 10
    • 0000501589 scopus 로고
    • Fractional Brownian motion, fractional noise and applications
    • B. B. Mandelbrot and J. Van Ness, "Fractional Brownian motion, fractional noise and applications", SIAM Review, 10, 1968.
    • (1968) SIAM Review , vol.10
    • Mandelbrot, B.B.1    Van Ness, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.