Identify texture of MRI human brain using Adaptive Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor

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.


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.


Item Type: Thesis (Degree)
CreatorsEmail / ID. Num
Faridatul Akma, Mohd Noor2008760017
ContributionNameID Num. / Email
Thesis advisorDr. Noor Elaiza, Abdul KhalidUNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities > Decision theory > Fuzzy decision making
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms
Q Science > QA Mathematics > Philosophy > Mathematical logic > Constructive mathematics > Algorithms
Q Science > QA Mathematics > Fuzzy logic
Divisions: Universiti Teknologi MARA, Perak > Tapah Campus > Faculty of Computer and Mathematical Sciences
Item ID: 34342
Uncontrolled Keywords: identify texture, MRI human brain, Adaptive Fuzzy C-Means (AFCM) algorithm, segmentation and classification techniques, graphical user interface


[img] Text

Download (274kB)


Fulltext is available at:
  • Bilik Koleksi Akses Terhad, PTAR Kampus Tapah, Perak
  • ID Number



    View in Google Scholar

    Actions (login required)

    View Item View Item


    Downloads per month over past year