Estimation of Fractal Dimension in Different Color Model

Author:

Kisan Sumitra1,Mishra Sarojananda2,Chawda Ajay1,Nayak Sanjay1

Affiliation:

1. Veer Surendra Sai University of Technology, Burla, India

2. Indira Gandhi Institute of Technology, Sarang, Dhenkanal, India

Abstract

This article describes how the term fractal dimension (FD) plays a vital role in fractal geometry. It is a degree that distinguishes the complexity and the irregularity of fractals, denoting the amount of space filled up. There are many procedures to evaluate the dimension for fractal surfaces, like box count, differential box count, and the improved differential box count method. These methods are basically used for grey scale images. The authors' objective in this article is to estimate the fractal dimension of color images using different color models. The authors have proposed a novel method for the estimation in CMY and HSV color spaces. In order to achieve the result, they performed test operation by taking number of color images in RGB color space. The authors have presented their experimental results and discussed the issues that characterize the approach. At the end, the authors have concluded the article with the analysis of calculated FDs for images with different color space.

Publisher

IGI Global

Subject

General Medicine

Reference27 articles.

1. Fisher, Y., McGuire, M., Voss, R. F., Barnsley, M. F., Devaney, R. L., & Mandelbrot, B. B. (2012). The science of fractal images. Springer Science & Business Media.

2. Ford, A., & Roberts, A. (1998, August 11). Colour Space Conversions. London: Westminster University.

3. Fractal approach to two-dimensional and three-dimensional surface roughness

4. Hu, L., Zhang, Z., Dong, H., & Lin, K. (2014). Outlier Detection Using Neighborhood Radius Based on Fractal Dimension. In Proceedings of the 9th International Conference on Computer Science & Education (ICCSE 22-24), Vancouver, Canada.

5. Fractal Dimension of Color Fractal Images

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