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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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Other Files 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

1) This script erases all. Make it a function, with the image file as an input argument.
2) The spaces ' ' have to be removed from the main filename, otherwise it does not work.
3) See submission 13063

14 Aug 2007 noureddine benhmed

take me an exemple for a heat equation with the difference methode

09 Dec 2008 Andrea Gutierrez

The program really works, but I need to measure the fractal dimension over a surface. Is there a way to measure the area instead of the perimeter?

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Tag Activity for this File
Tag Applied By Date/Time
image analysis Paul French 22 Oct 2008 09:22:57
hausdorff dimension Paul French 22 Oct 2008 09:22:57
box counting method Paul French 22 Oct 2008 09:22:57
fractal Paul French 22 Oct 2008 09:22:57
 

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