Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method
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-Sc...
| Authors: | , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2008 |
| Country: | Brasil |
| Institution: | Universidade Federal de Lavras (UFLA) |
| Repository: | INFOCOMP: Jornal de Ciência da Computação |
| Language: | English |
| OAI Identifier: | oai:infocomp.dcc.ufla.br:article/220 |
| Online Access: | https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/220 |
| Access Level: | Open access |
| Keyword: | Complexity Shape Analysis Fractal Dimension Multi-Scale Fractal Dimension Fourier Transform |
| 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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