Publication

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

Bibliographic Details
Summary:	Shape is one of the most important visual attributes used 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.
Main Authors:	Backes, André Ricardo
Other Authors:	Bruno, Odemir Martinez
Subject:	Complexity Shape Analysis Fractal Dimension Multi-Scale Fractal Dimension Fourier Transform
Year:	2008
Country:	Brazil
Document type:	article
Access type:	unknown
Associated institution:	IBICT
Language:	English
Origin:	Oasisbr

Description
Summary:	Shape is one of the most important visual attributes used 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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