Data/hora: 04/06/2024 03:44:38

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 18/03/1998
Data da última atualização: | 03/08/2007
Autoria: | COELHO, R. C.; COSTA, L. da F.
Título: | The box-counting fractal dimension: does it provide an accurate subsidy for experimental shape characterization? If so, how to use it?.
Ano de publicação: | 1996
Fonte/Imprenta: | In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO GRÁFICA E PROCESSAMENTO DE IMAGENS, 9., 1996, Caxambu. Anais... Caxambu: SBC, 1996.
Páginas: | p.373-380.
Idioma: | Inglês
Notas: | Evento conhecido como: SIBGRAPI. Editado por L. Velho, A. de Albuquerque e R. A. Lotufo.
Conteúdo: | 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 ojects. 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.
Palavras-Chave: | Computacao grafica; Graphic computation; Image processing; Processamento de imagens.
Categoria do assunto: | --
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (6757-1) - ADD - PL - -- - 006.6 - SIM - 1996.00014 - DIS