An Improved Algorithm for Image Fractal Dimension
There are several methods to estimate fractal dimension in fractional Brownian motion model. In this paper, one of methods, the variance method, is analyzed detailedly, and some problems in the method are pointed out. To resolve the problems, an improved method is proposed. To validate the method, a comparing experiment of two methods is designed. In the experiment, a SPOT image is selected and five categories, flourishing field, bareness land, resident area, water area and mountainous area, in the image are taken as examples. The experiment shows that the result by improved method is coincident with human perception and the improved method is also helpful for classification.