Identify texture of MRI human brain using Adaptive Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor
In the past few years, segmentation and classification techniques for identify texture has been implemented in many areas especially in human brain. The method for identify texture of human brain is a great help for medical analysis. The result of this research can be uses for segmentation and class...
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| Format: | Thesis |
| Language: | en |
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2010
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| Online Access: | https://ir.uitm.edu.my/id/eprint/34342/1/34342.pdf https://ir.uitm.edu.my/id/eprint/34342/ |
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| _version_ | 1833064805727993856 |
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| author | Faridatul Akma, Mohd Noor |
| author_facet | Faridatul Akma, Mohd Noor |
| author_sort | Faridatul Akma, Mohd Noor |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In the past few years, segmentation and classification techniques for identify texture has been implemented in many areas especially in human brain. The method for identify texture of human brain is a great help for medical analysis. The result of this research can be uses for segmentation and classification process. To access its viability, a prototype with interactive graphical user interface (GUI) was developed and tested for its reliability. The main objective of this research is to develop a prototype that use Adaptive Fuzzy C-Means (AFCM) algorithm to identify texture of human brain. |
| format | Thesis |
| id | my.uitm.ir-34342 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2010 |
| record_format | eprints |
| spelling | my.uitm.ir-343422020-09-11T01:05:55Z https://ir.uitm.edu.my/id/eprint/34342/ Identify texture of MRI human brain using Adaptive Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor Faridatul Akma, Mohd Noor Fuzzy decision making Algorithms Algorithms Fuzzy logic In the past few years, segmentation and classification techniques for identify texture has been implemented in many areas especially in human brain. The method for identify texture of human brain is a great help for medical analysis. The result of this research can be uses for segmentation and classification process. To access its viability, a prototype with interactive graphical user interface (GUI) was developed and tested for its reliability. The main objective of this research is to develop a prototype that use Adaptive Fuzzy C-Means (AFCM) algorithm to identify texture of human brain. 2010-11-01 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/34342/1/34342.pdf Identify texture of MRI human brain using Adaptive Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor. (2010) Degree thesis, thesis, Universiti Teknologi MARA Cawangan Perak. <http://terminalib.uitm.edu.my/34342.pdf> |
| spellingShingle | Fuzzy decision making Algorithms Algorithms Fuzzy logic Faridatul Akma, Mohd Noor Identify texture of MRI human brain using Adaptive Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor |
| title | Identify texture of MRI human brain using Adaptive
Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor |
| title_full | Identify texture of MRI human brain using Adaptive
Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor |
| title_fullStr | Identify texture of MRI human brain using Adaptive
Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor |
| title_full_unstemmed | Identify texture of MRI human brain using Adaptive
Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor |
| title_short | Identify texture of MRI human brain using Adaptive
Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor |
| title_sort | identify texture of mri human brain using adaptive
fuzzy c-means (afcm) algorithm / faridatul akma mohd noor |
| topic | Fuzzy decision making Algorithms Algorithms Fuzzy logic |
| url | https://ir.uitm.edu.my/id/eprint/34342/1/34342.pdf https://ir.uitm.edu.my/id/eprint/34342/ |
| url_provider | http://ir.uitm.edu.my/ |