A New Neutrosophic Approach of Wiener Filtering for MRI Denoising
In this paper, a new filtering method based on neutrosophic set (NS) approach of wiener filter is presented to remove Rician noise from magnetic resonance image. A neutrosophic set, a part of neutrosophy theory, studies the origin, nature and scope of neutralities, as well as their interactions with...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2013-08-01
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| Series: | Measurement Science Review |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/msr-2013-0027 |
| _version_ | 1818596209313447936 |
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| author | Mohan J. Krishnaveni V. Guo Yanhui |
| author_facet | Mohan J. Krishnaveni V. Guo Yanhui |
| author_sort | Mohan J. |
| collection | DOAJ |
| description | In this paper, a new filtering method based on neutrosophic set (NS) approach of wiener filter is presented to remove Rician noise from magnetic resonance image. A neutrosophic set, a part of neutrosophy theory, studies the origin, nature and scope of neutralities, as well as their interactions with different ideational spectra. Now, we apply the neutrosophic set into image domain and define some concepts and operators for image denoising. The image is transformed into NS domain, described using three membership sets: True (T), Indeterminacy (I) and False (F). The entropy of the neutrosophic set is defined and employed to measure the indeterminacy. The ω-wiener filtering operation is used on T and F to decrease the set indeterminacy and remove noise. The experiments have conducted on simulated Magnetic Resonance images (MRI) from Brainweb database and clinical MR images corrupted by Rician noise. The results show that the NS wiener filter produces better denoising results in terms of visual perception, qualitative and quantitative measures compared with other denoising methods, such as classical wiener filter, the anisotropic diffusion filter, the total variation minimization scheme and non local means filter. |
| first_indexed | 2024-12-16T11:28:16Z |
| format | Article |
| id | doaj.art-d2f0b3ff08f74939b6e14b712a2939f6 |
| institution | Directory Open Access Journal |
| issn | 1335-8871 |
| language | English |
| last_indexed | 2024-12-16T11:28:16Z |
| publishDate | 2013-08-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Measurement Science Review |
| spelling | doaj.art-d2f0b3ff08f74939b6e14b712a2939f62022-12-21T22:33:17ZengSciendoMeasurement Science Review1335-88712013-08-0113417718610.2478/msr-2013-0027A New Neutrosophic Approach of Wiener Filtering for MRI DenoisingMohan J.0Krishnaveni V.1Guo Yanhui2Department of Electronics and Communication Engineering, P A College of Engineering and Technology, Pollachi, Tamilnadu 642002, IndiaDepartment of Electronics and Communication Engineering, PSG College of Technology, Coimbatore, Tamilnadu 641004, IndiaSchool of Science, Technology and Engineering Management, Saint Thomas University, Miami Gardens, Florida 33054, USAIn this paper, a new filtering method based on neutrosophic set (NS) approach of wiener filter is presented to remove Rician noise from magnetic resonance image. A neutrosophic set, a part of neutrosophy theory, studies the origin, nature and scope of neutralities, as well as their interactions with different ideational spectra. Now, we apply the neutrosophic set into image domain and define some concepts and operators for image denoising. The image is transformed into NS domain, described using three membership sets: True (T), Indeterminacy (I) and False (F). The entropy of the neutrosophic set is defined and employed to measure the indeterminacy. The ω-wiener filtering operation is used on T and F to decrease the set indeterminacy and remove noise. The experiments have conducted on simulated Magnetic Resonance images (MRI) from Brainweb database and clinical MR images corrupted by Rician noise. The results show that the NS wiener filter produces better denoising results in terms of visual perception, qualitative and quantitative measures compared with other denoising methods, such as classical wiener filter, the anisotropic diffusion filter, the total variation minimization scheme and non local means filter.https://doi.org/10.2478/msr-2013-0027denoisingmagnetic resonance imagingneutrosophic setrician distributionwiener |
| spellingShingle | Mohan J. Krishnaveni V. Guo Yanhui A New Neutrosophic Approach of Wiener Filtering for MRI Denoising Measurement Science Review denoising magnetic resonance imaging neutrosophic set rician distribution wiener |
| title | A New Neutrosophic Approach of Wiener Filtering for MRI Denoising |
| title_full | A New Neutrosophic Approach of Wiener Filtering for MRI Denoising |
| title_fullStr | A New Neutrosophic Approach of Wiener Filtering for MRI Denoising |
| title_full_unstemmed | A New Neutrosophic Approach of Wiener Filtering for MRI Denoising |
| title_short | A New Neutrosophic Approach of Wiener Filtering for MRI Denoising |
| title_sort | new neutrosophic approach of wiener filtering for mri denoising |
| topic | denoising magnetic resonance imaging neutrosophic set rician distribution wiener |
| url | https://doi.org/10.2478/msr-2013-0027 |
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