Texture Enhancement for Medical Images Based on Fractional Differential Masks
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 gradi...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2013/618536 |
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| _version_ | 1832563775699419136 |
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| author | Hamid A. Jalab Rabha W. Ibrahim |
| author_facet | Hamid A. Jalab Rabha W. Ibrahim |
| author_sort | Hamid A. Jalab |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5d218ca0c1454af0b96406e3e197fa22 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-5d218ca0c1454af0b96406e3e197fa222025-02-03T01:12:32ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/618536618536Texture Enhancement for Medical Images Based on Fractional Differential MasksHamid A. Jalab0Rabha W. Ibrahim1Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaInstitute of Mathematical Sciences, University of Malaya, 50603 Kuala Lumpur, MalaysiaTexture 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.http://dx.doi.org/10.1155/2013/618536 |
| spellingShingle | Hamid A. Jalab Rabha W. Ibrahim Texture Enhancement for Medical Images Based on Fractional Differential Masks Discrete Dynamics in Nature and Society |
| title | Texture Enhancement for Medical Images Based on Fractional Differential Masks |
| title_full | Texture Enhancement for Medical Images Based on Fractional Differential Masks |
| title_fullStr | Texture Enhancement for Medical Images Based on Fractional Differential Masks |
| title_full_unstemmed | Texture Enhancement for Medical Images Based on Fractional Differential Masks |
| title_short | Texture Enhancement for Medical Images Based on Fractional Differential Masks |
| title_sort | texture enhancement for medical images based on fractional differential masks |
| url | http://dx.doi.org/10.1155/2013/618536 |
| work_keys_str_mv | AT hamidajalab textureenhancementformedicalimagesbasedonfractionaldifferentialmasks AT rabhawibrahim textureenhancementformedicalimagesbasedonfractionaldifferentialmasks |