Fractal analysis for mobile objectives navigation

Authors:
Dan Popescu;Radu Dobrescu;Nicoleta Angelescu
Affiliations:
Department of Control and Computers, Politehnica University of Bucharest, Bucharest, Romania;Department of Control and Computers, Politehnica University of Bucharest, Bucharest, Romania;Department of Control and Computers, Politehnica University of Bucharest, Bucharest, Romania
Venue:
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Year:
2008

Citing 4
Cited 0

Texture description and segmentation through fractal geometry

Computer Vision, Graphics, and Image Processing
Implementation and operation of three fractal measurement algorithms for analysis of remote-sensing data

Computers & Geosciences
Digital Image Processing

Digital Image Processing
Image Segmentation and Uncertainty

Image Segmentation and Uncertainty

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we investigate how the fractal dimension is used for textured image classifications. In order to measure the similarity of a textured region pair, the fractal dimensions of both regions are computed by the box-counting algorithm utilizing. The analysis of textural images was made on a set of ten image regions and the results prove that the mean fractal dimension can be used to classify the textural images. To validate the algorithm, a MATLAB program was implemented. The results are the classification of the tested texture and also the localization of the road from the divided regions. Our experimental results indicate the fact that the selected features have a good discriminating power.