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 language | English |
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Pages (from-to) | 12-18 |
Number of pages | 7 |
Journal | Revista Mexicana de Fisica |
Volume | 63 |
Issue number | 1 |
State | Published - 2017 |
Keywords
- Box-count
- Fractal dimension
- Hall-Wood
- Image processing
- Roughened interface