摘要：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.
