Hausdorff (Box-Counting) Fractal Dimension
Returns the Haussdorf fractal dimension D of an object represented by the binary image I. Nonzero pixels belong to an object and 0 pixels constitute the background.
Algorithm:
1 - Pad the image with background pixels so that its dimensions are a power of 2.
2 - Set the box size 'e' to the size of the image.
3 - Compute N(e), which corresponds to the number of boxes of size 'e' which contains at least one object pixel.
4 - If e > 1 then e = e / 2 and repeat step 3.
5 - Compute the points log(N(e)) x log(1/e) and use the least squares method to fit a line to the points.
6 - The returned Haussdorf fractal dimension D is the slope of the line.
In this blog post I show how this code can be used to compute the fractal dimension:
http://www.alceufc.com/2013/11/fractal-dimension-from-image.html
Citation pour cette source
Alceu Costa (2024). Hausdorff (Box-Counting) Fractal Dimension (https://www.mathworks.com/matlabcentral/fileexchange/30329-hausdorff-box-counting-fractal-dimension), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
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- MATLAB > Mathematics > Fractals >
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Remerciements
A inspiré : Modified Haussdorf Fractal Dimension, Hausdorff (Box-Counting) Fractal Dimension with multi-resolution calculation
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Version | Publié le | Notes de version | |
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1.2.0.0 | Updated the description to include a link to a blog post explaining how the code can be used. |
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1.1.0.0 | Corrected a typo in the file title . |
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1.0.0.0 |