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Kswipe
Kswipe
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
ICM.m
ICM.m
 
 
Image01.png
Image01.png
 
 
Image02.png
Image02.png
 
 
Image03.png
Image03.png
 
 
Image04.png
Image04.png
 
 
Nei4X.m
Nei4X.m
 
 
NeiX.m
NeiX.m
 
 
README.md
README.md
 
 
beta_swipe_1000.mat
beta_swipe_1000.mat
 
 
covmatrix.m
covmatrix.m
 
 
energy1.m
energy1.m
 
 
energy2.m
energy2.m
 
 
image01_beta_swipe_k_3.mat
image01_beta_swipe_k_3.mat
 
 
image01_k_swipe_beta_0.5
image01_k_swipe_beta_0.5
 
 
image02_beta_swipe_k_5.mat
image02_beta_swipe_k_5.mat
 
 
image02_k_swipe_beta_0.5
image02_k_swipe_beta_0.5
 
 
image03_beta_swipe_k_6.mat
image03_beta_swipe_k_6.mat
 
 
image04_beta_swipe_k_4.mat
image04_beta_swipe_k_4.mat
 
 
imstack2vectors.m
imstack2vectors.m
 
 
init.m
init.m
 
 
main.m
main.m
 
 
plots.m
plots.m
 
 
stats.m
stats.m
 
 
test_beta_swipe.m
test_beta_swipe.m
 
 
test_k_swipe.asv
test_k_swipe.asv
 
 
test_k_swipe.m
test_k_swipe.m
 
 
uniformTestImage.png
uniformTestImage.png
 
 

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imageSegmentation

This project demonstrates Image Segmentation using Gaussian Markov Random Fields and Probability Maximization using ICM. The method implements flexibility to consider 4-8 neighbouring pixels.

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Image segmentation using Gausian Markov Random Fields, and probability Maximization using ICM

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