How to make output from FCM consistent (Fuzzy c-means clustering)?

Question

Ivan Shorokhov 2015-11-8

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/253751-how-to-make-output-from-fcm-consistent-fuzzy-c-means-clustering

评论： Diboun Mohsen Djawad 2021-9-8

Hello everybody,

[Problem]

I have 'brain' dicom image. I need to segment it into 3 clusters. I used the FCM method (code given bellow). It is a 3 level FCM thresholding. When I apply it to the images, I am getting 3 clusters, but all the time images appear in different figures. So I'm can't use fcmImage(index1{1,1}), for the next step as in the next time the fcmImage(index1{1,1}) can be replaced with some other index, for example with fcmImage(index1{1,2}).

[Code Used]

close all; clear all; clc;
I = im2double(imread('brain.jpg'));
I = imadjust(I);
data = [I(:)];
%Number of clusters
num_clust = 3;
% Fuzzy C-means classification with 3 classes
[center,U,obj_fcn] = fcm(data,num_clust); 
% Finding the pixels for each class
maxU = max(U);
fcmImage(1:length(data))=0; 
for n_c= 1:num_clust
    index1{n_c} = find(U(n_c,:) == maxU);
end
% Assigning pixel to each class by giving them a specific value
fcmImage(index1{1,1})= 0.9;
fcmImage(index1{1,2})= 0.5;
fcmImage(index1{1,3})= 0.3;
[M,N] = size(I);
% Reshapeing the array to a image
imagNew = reshape(fcmImage,M,N);
figure;imshow(imagNew,[]); 
%figure;imshow(I,[]);

So here is there randomized outputs images:

[Need] How to make output from FCM more consistent, is there any sort of labeling.

[Matlab version] R2015b

[Acknowledgement] Thanks in advance for any help. I will vote for all your answers.

@Image Analyst

@Walter Roberson

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Fadhil M 2021-7-27

I have the same problem here, i've tried to constantly set the initial membership matrice by rng() function, and either using fixed initial centroid. both still returning inconsistent output (output centers seems to randomly assigned, not sorted). anyone knows why??

Diboun Mohsen Djawad 2021-9-8