Image edge detection based on multi-fractal spectrum analysis

Abstract

In this paper, an image edge detection method based on multi-fractal spectrum analysis is presented. The coarse grain H?der exponent of the image pixels is first computed. then, its multi-fractal spectrum is estimated by the kernel estimation method. Finally, the image edge detection is done by means of different multi-fractal spectrum values. Simulation results show that this method is efficient and has better locality compared with the traditional edge detection methods such as the Sobel method.