Title :
Fractal dimension estimation of fractional Brownian motion
Author :
Zhang, Peng ; Barad, Herb ; Martinez, Andrew
Author_Institution :
Signal & Image Process. Lab., Tulane Univ., New Orleans, LA, USA
Abstract :
Fractal dimension provides an objective means for quantifying the fractal property of an object and comparing objects observed in the natural world. One of the most useful mathematical models for the random fractals found in nature has been fractional Brownian motion. Two algorithms are used to simulate fractional Brownian motion. An important characteristic of fractals useful for their description and classification is their fractal dimension. Several methods are developed to estimate fractal dimension: the variance method, the spectral method, and the morphological method. These methods are used for simulated samples of fractional Brownian motion, and their performances are compared. It is found that the performance of these fractal dimension estimation methods is usually related to what kind of fractals are to be estimated and the range in which the fractal dimension falls
Keywords :
Brownian motion; estimation theory; fractals; picture processing; fractal dimension estimation methods; fractional Brownian motion; morphological method; spectral method; variance method; Brownian motion; Computer simulation; Fractals; Image processing; Laboratories; Motion estimation; Random processes; Random variables; Signal processing; White noise;
Conference_Titel :
Southeastcon '90. Proceedings., IEEE
Conference_Location :
New Orleans, LA
DOI :
10.1109/SECON.1990.117957