A simple and flexible modification of Grünwald–Letnikov fractional derivative in image processing

16Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In image processing, edge detection and image enhancement can make use of fractional differentiation operators, especially the Grünwald–Letnikov derivative. In this paper, we present a modified Grünwald–Letnikov derivative to enhance more and detect better the edges of an image. Our proposed fractional derivative is very flexible and can be easily performed. We present some examples to justify our suggested approach.

Cite

CITATION STYLE

APA

Jalalinejad, H., Tavakoli, A., & Zarmehi, F. (2018). A simple and flexible modification of Grünwald–Letnikov fractional derivative in image processing. Mathematical Sciences, 12(3), 205–210. https://doi.org/10.1007/s40096-018-0260-6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free