An estimation method of fractal dimension of self-avoiding roughened interfaces

L. Damian Adame, A. Kryvko, D. Samayoa Ochoa, A. Rodríguez Castellanos

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Two kinds of methods (graphical and statistical) commonly used for the estimation of fractal dimension of self-avoiding interfaces were investigated. It was determined that the current methods of both kinds have significant errors for this type of profiles. In the present work a novel efficient method for the estimation of fractal dimension of self-avoiding curves embedded in the space ℝ2 based on the Box-count and Hall-Wood estimators is developed. Some physical implications are discussed.

Original languageEnglish
Pages (from-to)12-18
Number of pages7
JournalRevista Mexicana de Fisica
Volume63
Issue number1
StatePublished - 2017

Keywords

  • Box-count
  • Fractal dimension
  • Hall-Wood
  • Image processing
  • Roughened interface

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