De-Noising and Segmentation of Brain MR images by Spatial Information and K-Means Clustering
Image Segmentation is the process of partitioning a digital image into non-overlapping distinct regions, so that significant information about the image could be retrieved and various analysis could be performed on that segmented image. The aim of this study is to reduce the noise, enhance the ima...
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| Format: | Article |
| Language: | English |
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Maxwell Scientific Organization
2013
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| Online Access: | http://ir.unimas.my/id/eprint/15750/ http://ir.unimas.my/id/eprint/15750/1/De-Noising.pdf |
| _version_ | 1848837918144069632 |
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| author | Javed, Arshad Wang, Yin Cha Narayanan, Kulathuramaiyer |
| author_facet | Javed, Arshad Wang, Yin Cha Narayanan, Kulathuramaiyer |
| author_sort | Javed, Arshad |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Image Segmentation is the process of partitioning a digital image into non-overlapping distinct regions,
so that significant information about the image could be retrieved and various analysis could be performed on that
segmented image. The aim of this study is to reduce the noise, enhance the image quality by considering the spatial information without losing any important information about the images and perform the segmentation process in noise free environment. K-Means clustering technique is used for the purpose of segmentation of brain tissue classes which is considered more efficient and effective for the segmentation of an image. We tested the proposed technique on different types of brain MR images which generates good results and proved robust against noise. Conclusion had been concluded at the end of this study |
| first_indexed | 2025-11-15T06:47:17Z |
| format | Article |
| id | unimas-15750 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:47:17Z |
| publishDate | 2013 |
| publisher | Maxwell Scientific Organization |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-157502022-01-25T06:28:58Z http://ir.unimas.my/id/eprint/15750/ De-Noising and Segmentation of Brain MR images by Spatial Information and K-Means Clustering Javed, Arshad Wang, Yin Cha Narayanan, Kulathuramaiyer T Technology (General) Image Segmentation is the process of partitioning a digital image into non-overlapping distinct regions, so that significant information about the image could be retrieved and various analysis could be performed on that segmented image. The aim of this study is to reduce the noise, enhance the image quality by considering the spatial information without losing any important information about the images and perform the segmentation process in noise free environment. K-Means clustering technique is used for the purpose of segmentation of brain tissue classes which is considered more efficient and effective for the segmentation of an image. We tested the proposed technique on different types of brain MR images which generates good results and proved robust against noise. Conclusion had been concluded at the end of this study Maxwell Scientific Organization 2013 Article PeerReviewed text en http://ir.unimas.my/id/eprint/15750/1/De-Noising.pdf Javed, Arshad and Wang, Yin Cha and Narayanan, Kulathuramaiyer (2013) De-Noising and Segmentation of Brain MR images by Spatial Information and K-Means Clustering. Research Journal of Applied Sciences, Engineering and Technology, 6 (22). pp. 4215-4220. ISSN 2040-7459 http://www.maxwellsci.com/jp/abstract.php?jid=RJASET&no=361&abs=16 |
| spellingShingle | T Technology (General) Javed, Arshad Wang, Yin Cha Narayanan, Kulathuramaiyer De-Noising and Segmentation of Brain MR images by Spatial Information and K-Means Clustering |
| title | De-Noising and Segmentation of Brain MR images by Spatial Information and K-Means Clustering |
| title_full | De-Noising and Segmentation of Brain MR images by Spatial Information and K-Means Clustering |
| title_fullStr | De-Noising and Segmentation of Brain MR images by Spatial Information and K-Means Clustering |
| title_full_unstemmed | De-Noising and Segmentation of Brain MR images by Spatial Information and K-Means Clustering |
| title_short | De-Noising and Segmentation of Brain MR images by Spatial Information and K-Means Clustering |
| title_sort | de-noising and segmentation of brain mr images by spatial information and k-means clustering |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/15750/ http://ir.unimas.my/id/eprint/15750/ http://ir.unimas.my/id/eprint/15750/1/De-Noising.pdf |