<title>Method and parallel architecture for extracting the image fractal dimension in real time</title>

Abstract

The fractal dimension of image is an important quantitative character, which can be widely used in image analysis. But general algorithm according to the definition of Box Counting dimension needs more computation and cannot be real-time computed. In order to compute the fractal dimension of an image in real-time, an algorithm is designed in this paper by using morphological cover, according to the definition of Minkowski-Bouligand dimension. The result of experimental computation manifests that the fractal dimension of the image can be precisely and robustly computed by using the algorithm proposed in this paper. The architecture of real-time parallel implementation is also given.