Fractal based approach for image segmentation

Abstract

In this thesis, we have proposed an algorithm for image segmentation, using the fractal codes. The basic idea behind this algorithm is to use fractal codes for the image segmentation. This method uses compressed codes instead of the gray levels of the image. Therefore it is cost effective in the sense of storage space and time as no decoding is performed before using the segmentation algorithm. Moreover, the proposed scheme can directly use on the images accessed from the image database where images are kept in fractal-compressed code.