New Approach for Estimating Fractal Dimension of Both Gary and Color Images

Fractal Dimension was firstly introduced by Mandelbort [1]. Fractal Dimension describe about the shape and appearance of object, which have the property of self similarity. Fractal Dimension of several objects are calculated by using the concept of self similarity. Because Fractal objects are self similar to the original object and dimensions are little varies as per scale length. Our main purpose is to find smoothness and roughness of images and image analysis. Various methods were proposed to estimate the fractal dimension of Grey scale images. Some existing methods were described using Fractal Dimension methodology for finding the roughness and smoothness of images. So many experiments has been done by using existing methods of fractal dimension and found various results. In this report we have described some proposed approach for finding the fractal dimension of color images. We found out fractal dimension of both gray scale and color image using Differential Box Count (DBC) method, cell counting method and our proposed approach.