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- Title
Texture Enhancement for Medical Images Based on Fractional Differential Masks.
- Authors
Hamid A. Jalab; Rabha W. Ibrahim
- Abstract
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.
- Subjects
TEXTURE analysis (Image processing); DIAGNOSTIC imaging; MEDICAL imaging systems; FRACTIONAL calculus; OPERATOR theory; FILTERS (Mathematics)
- Publication
Discrete Dynamics in Nature & Society, 2013, p1
- ISSN
1026-0226
- Publication type
Article
- DOI
10.1155/2013/618536