%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2013/02.28.16.41
%2 sid.inpe.br/sibgrapi/2013/02.28.16.41.14
%@isbn 978-85-7669-273-7
%T The box-counting fractal dimension: does it provide an accurate subsidy for experimental shape characterization? If so, how to use it?
%D 1995
%A Coelho, Regina Célia,
%A Costa, Luciano da Fontoura,
%@affiliation Grupo de Pesquisa em Visão Cibernética da Universidade de São Paulo (USP)
%@affiliation Grupo de Pesquisa em Visão Cibernética da Universidade de São Paulo (USP)
%E Lotufo, Roberto de Alencar,
%E Mascarenhas, Nelson Delfino d'Ávila,
%B Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)
%C São Carlos, SP, Brazil
%8 25-27 Oct. 1995
%I Sociedade Brasileira de Computação
%J Porto Alegre
%P 183-190
%S Anais
%K fractal dimension, analysis of natural objects, characterization of natural objects.
%X This paper reports an experimental assessment of how appropriate and accurate the self-similarity or box-counting fractal dimension is for practical applications to the analysis and characterization of natural objects. The effects of the partial fractality of real objects as well as the limited representation allowed by typical spatially quantized images are investigated through a series of experimental measurements respectively to two Koch curves. Practical guidelines are established and discussed that can help in obtaining more precise and meaningful experimental results. These guidelines are illustrated with respect to images of synthetic neural cells.
%9 Análise de Formas
%@language en
%3 23 The boxcouting fractal.pdf