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Descripción
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| We discuss quantitatively the restrictions linked with the multifractal (MF) characterisation of binary images. We have review the MF analysis (MFA) normally used when the image is transform in a matrix (or cube), containing only 1 and 0 elements, and boundaries related to the percentage of black pixels (?) were derived for the partition function. In the context of images, when a lower scale process is applied the number of black pixels (bp) should reflect a certain probability value at each iteration (n). Following this process we arise to threshold values for the maximum and minimum probabilities to be represented in function of?, n and image size. A cascade model, with different initial probabilities, was applied to generate several MF distributions that were transformed to matrices of integer numbers conserving the same generalized dimensions (Dq). These matrices, although resulting from a purely multi-cascade process, illustrates all the restrictions described earlier | |
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Internacional
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Si |
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Nombre congreso
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E.G.U. 2012 9th General Assembly. |
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Tipo de participación
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960 |
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Lugar del congreso
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Viena, Austria |
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Revisores
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Si |
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ISBN o ISSN
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1029-7006 |
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DOI
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Fecha inicio congreso
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22/04/2012 |
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Fecha fin congreso
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27/04/2012 |
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Desde la página
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1 |
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Hasta la página
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1 |
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Título de las actas
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Geophysical Research Abstracts Vol. 14 |