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arXiv · 1201.3153

Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method

André Ricardo Backes·Odemir Martinez Bruno
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Abstract

Shape is one of the most important visual attributes to characterize objects, playing a important role in pattern recognition. There are various approaches to extract relevant information of a shape. An approach widely used in shape analysis is the complexity, and Fractal Dimension and Multi-Scale Fractal Dimension are both well-known methodologies to estimate it. This papers presents a comparative study between Fractal Dimension and Multi-Scale Fractal Dimension in a shape analysis context. Through experimental comparison using a shape database previously classified, both methods are compared. Different parameters configuration of each method are considered and a discussion about the results of each method is also presented.

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André Ricardo Backes, Odemir Martinez Bruno. 2012-01-16. Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method. https://arxiv.org/abs/1201.3153

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