Robust Methodology for Fractal Analysis and Recognition of the Retinal Vasculature

Now a days in medical field we are facing many problems in recognizing the retina images. To recognize the retinal vasculature image they used many methods which are having many disadvantages. But here we have used three methods for recognizing which are box counting algorithm, differential box counting algorithm and Fourier fractal dimension algorithm. Of these we have got the best method for recognizing the retina by the fractal dimension .Fractal dimension is computed on 100 images and which is used for recognition purpose while giving the test input image. First method needs segmentation and this method takes more time to calculate the fractal dimension and computational cost is also so high. Differential box counting algorithm has the same drawback what box counting method had. So we used Fourier fractal dimension which contain the pre processing, enhancement process (using Gabor wavelet transform) and got the best recognition by using this method.