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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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Main Author: Faridatul Akma, Mohd Noor
Format: Thesis
Language:English
Published: 2010
Subjects:
Fuzzy decision making
Algorithms
Fuzzy logic
Online Access:http://ir.uitm.edu.my/id/eprint/34342/1/34342.pdf
http://ir.uitm.edu.my/id/eprint/34342/
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spelling my.uitm.ir.343422020-09-11T01:05:55Z http://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 http://ir.uitm.edu.my/id/eprint/34342/1/34342.pdf Faridatul Akma, Mohd Noor (2010) Identify texture of MRI human brain using Adaptive Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor. Degree thesis, Universiti Teknologi MARA Cawangan Perak.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
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
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
publishDate 2010
url http://ir.uitm.edu.my/id/eprint/34342/1/34342.pdf
http://ir.uitm.edu.my/id/eprint/34342/
_version_ 1685651181529989120
score 13.188404

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