An Improved Fractional Differential Algorithm and Noise Immunity Analysis

Yu Ran Liu; Ming Liang Hou

doi:10.4028/www.scientific.net/AMM.121-126.710

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126An Improved Fractional Differential Algorithm and...

An Improved Fractional Differential Algorithm and Noise Immunity Analysis

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

710-714

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.710

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Online since:

October 2011

Authors:

Yu Ran Liu, Ming Liang Hou

Keywords:

Edges, Fractional Order, Fractional Order Differential, Gauss Foise, Noise Immunity

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