Hausdorff Dimension by the box counting method
by Paul French
13 Aug 2007
(Updated 13 Aug 2007)
No BSD License
uses box counting method to calculate the degree of roughness of an input image
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| Description |
A quantitative analysis of perimeter roughness is carried out to illustrate the degree of roughness of input images. Commonly known as the Hausdorff Dimension (H.D.), the algorithm shown in figure 1.1 gives the aggregate perimeter roughness as a fractal dimension. The fractal dimension describes the complexity of an object; in the case of devices presented here, this algorithm gives perimeter roughness which implies parasitic emission sites for extremely rough perimeters [1]. On Hausdorff Dimension scale, a dimension of 1 equates to a smooth line, while 2 implies fractal complexity like that of a Julia set, and because the devices presented here are considered truncated fractals, the fractal dimension calculated is bound by the above limits, i.e. 1 < H.D. < 2. |
| MATLAB release |
MATLAB 6.5 (R13)
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Hausdorff Dimension by the box counting method.doc, Fractal dimension measurement.m, inputImage.jpg
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| Comments and Ratings (3) |
| 13 Aug 2007 |
F Moisy
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| 14 Aug 2007 |
noureddine benhmed
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| 09 Dec 2008 |
Andrea Gutierrez
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