![](/images/graphics-bg.png)
Texture Enhancement for Medical Images Based on Fractional Differential Masks
Joint Authors
Jalab, Hamid A.
Ibrahim, Rabha W.
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Texture enhancement for medical images is the most important technique in medical image diagnosis.
This paper introduces a texture enhancement technique for medical images by using fractional differential (FD) masks based on Srivastava-Owa fractional operators.
We also construct a 2D isotropic gradient mask based on generalized fractional operators.
Texture enhancement performance is measured by applying experiments according to visual perception and by using Sobel/Canny edge filters and gray-level co-occurrence matrix.
We discuss the capability of the FD mask for texture enhancement.
The experiments and analysis show that the operator can extract subtle information and make the edges prominent.
American Psychological Association (APA)
Jalab, Hamid A.& Ibrahim, Rabha W.. 2013. Texture Enhancement for Medical Images Based on Fractional Differential Masks. Discrete Dynamics in Nature and Society،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-485590
Modern Language Association (MLA)
Jalab, Hamid A.& Ibrahim, Rabha W.. Texture Enhancement for Medical Images Based on Fractional Differential Masks. Discrete Dynamics in Nature and Society No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-485590
American Medical Association (AMA)
Jalab, Hamid A.& Ibrahim, Rabha W.. Texture Enhancement for Medical Images Based on Fractional Differential Masks. Discrete Dynamics in Nature and Society. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-485590
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485590