The Improved Fractional Order Differential Image Information Extraction Algorithm

Abstract

Texture and edge information are equally important to identification of most of natural images. In view of the weakness of the existing integer order differential operators that it can't extract texture information from 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.