Title :
An examination of fractal dimension approach of image classification
Author_Institution :
Dept. of Inf. Eng., Jin-Wen Technol. Univ., Taipei
Abstract :
In this paper we tested the application of fractal dimension on gamma-ray images. We discover that, contrary to general belief, fractal dimension is not always a good tool to help us to select the images that we are interested. Besides, we have pointed out that similar fractal dimension doesnpsilat means there are similar fractal pattern. We also discussed the possibility of applying fractal dimension in image recognition. We conclude that it should be careful to use FD as the main tool to recognize images but it can be an auxiliary parameter to help the decision.
Keywords :
fractals; image classification; fractal dimension; fractal pattern; gamma-ray images; image classification; image recognition; Biomedical imaging; Cybernetics; Equations; Fractals; Image classification; Image recognition; Machine learning; Pixel; Shape; Testing; Fractal; Fractal dimension; Image classification;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620950
