An Improved Fractional Differential Algorithm and Noise Immunity Analysis
Texture and edge information are equally important to identification of most of natural images. To the problem of the existing integer order differential operators can’t extract texture information form the images, this study developed a fractional differential algorithm, which can extract texture and marginal information simultaneously, based on settlement of the drift problem of fractional differential operator. Experimental results showed that our algorithm can not only extract texture information but also extract more edge information than the traditional algorithms. And to the image with Gauss noise, our algorithm also have noise immunity.
Dongye Sun, Wen-Pei Sung and Ran Chen
Y. R. Liu and M. L. Hou, "An Improved Fractional Differential Algorithm and Noise Immunity Analysis", Applied Mechanics and Materials, Vols. 121-126, pp. 710-714, 2012