Hausdorff Dimension by the box counting method
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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.
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Paul French (2024). Hausdorff Dimension by the box counting method (https://www.mathworks.com/matlabcentral/fileexchange/15918-hausdorff-dimension-by-the-box-counting-method), MATLAB Central File Exchange. Retrieved .
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