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Titel Multifractal Analysis in Binary Images
VerfasserIn A. M. Tarquis, N. R. A. Bird, E. Perrier, J. W. Crawford
Konferenz EGU General Assembly 2012
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 14 (2012)
Datensatznummer 250071317
 
Zusammenfassung
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 (φ) 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 ofφ, 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. References Bird, N., Díaz, M.C., Saa, A. and Tarquis, A.M..2006. A Review of Fractal and Multifractal Analysis of Soil Pore-Scale Images. J. of Hydrology, 322, 211- 219. Perrier, E., Tarquis, A.M. and Dathe, A.. 2006. A Program for Fractal and Multifractal Analysis of Two-Dimensional Binary Images. Computer Algorithms versus Mathematical Theory. Geoderma, 134, 284-294. Tarquis, A.M., McInnes, K., Keys, J., Saa, A., García, M.R. and Díaz, M.C.. 2006. Multiscaling Analysis In A Structured Clay Soil.. J. of Hydrology, 322, 236-246. Acknoledgements Funding provided by Spanish Ministerio de Ciencia e Innovación (MICINN) through project no. AGL2010-21501/AGR is greatly appreciated.