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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2010
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| Online Access: | https://ir.uitm.edu.my/id/eprint/34342/1/34342.pdf |
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my-uitm-ir.343422020-09-11T01:05:55Z Identify texture of MRI human brain using Adaptive Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor 2010-11-01 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 Thesis https://ir.uitm.edu.my/id/eprint/34342/ https://ir.uitm.edu.my/id/eprint/34342/1/34342.pdf text en public degree Universiti Teknologi MARA Cawangan Perak Faculty of Computer and Mathematical Sciences Dr. Noor Elaiza, Abdul Khalid |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Dr. Noor Elaiza, Abdul Khalid |
| topic |
Fuzzy decision making Algorithms Algorithms Fuzzy logic |
| 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 |
| 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 |
| qualification_level |
Bachelor degree |
| author |
Faridatul Akma, Mohd Noor |
| author_facet |
Faridatul Akma, Mohd Noor |
| author_sort |
Faridatul Akma, Mohd Noor |
| title |
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_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_sort |
identify texture of mri human brain using adaptive
fuzzy c-means (afcm) algorithm / faridatul akma mohd noor |
| granting_institution |
Universiti Teknologi MARA Cawangan Perak |
| granting_department |
Faculty of Computer and Mathematical Sciences |
| publishDate |
2010 |
| url |
https://ir.uitm.edu.my/id/eprint/34342/1/34342.pdf |
| _version_ |
1783734264117854208 |