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Reproduction of results from Research Paper on Brain Segmentation using IFCM with Neighborhood Attraction

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Brain MRI Segmentation using improved fuzzy-c-means

ECE 417 Final Project at University of Waterloo

This program is a Matlab/Octave implementation of the ifcm algorithm proposed in this Research Paper by Shen et al.

A comparision of segmentation using ifcm and fcm is performed on sample brain mri with varying degrees of additive noise.

Prerequisites


Image Processing Tool Box.

  • Include the tool box as an add-on during installation of Matlab R2018a.
  • No action is necessary during installation of Octave.

Run


git clone https://github.com/hollowmaster1496/ECE417_BrainSegmenter.git
cd ECE417_BrainSegmenter/src

Matlab

Launch Matlab by double-clicking on main.m. In Command window, enter:

main

Octave

Launch Octave by double-clicking on main.m. In command window, enter:

pkg load image
main

Results


Input (Noisy Images)

Noisy Input MRI

Segmentation Output (FCM vs. IFCM)

FCM vs. IFCM

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Reproduction of results from Research Paper on Brain Segmentation using IFCM with Neighborhood Attraction

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