please in details can anyone explain this code of K means Segmentation?

1 次查看（过去 30 天）
Touhidul islam
Touhidul islam 2017-12-28
编辑： Touhidul islam 2018-1-9
clear all
close all
[filename,pathname] = uigetfile({'*.*';'*.bmp';'*.tif';'*.gif';'*.png'},'Pick an Image File');
I = im2double(imread([pathname,filename]));
[rows, columns, numberOfColorChannels] = size(I);
F = reshape(I, rows*columns, numberOfColorChannels);
******* From here please explain
K = 3; % Cluster Numbers
CENTS = F( ceil(rand(K,1)*size(F,1)) ,:); % Cluster Centers
DAL = zeros(size(F,1),K+2); % Distances and Labels
KMI = 50; % K-means Iteration
for n = 1:KMI
for i = 1:size(F,1)
for j = 1:K
DAL(i,j) = norm(F(i,:) - CENTS(j,:));
end
[Distance, CN] = min(DAL(i,1:K)); % 1:K are Distance from Cluster Centers 1:K
DAL(i,K+1) = CN; % K+1 is Cluster Label
DAL(i,K+2) = Distance; % K+2 is Minimum Distance
end
for i = 1:K
A = (DAL(:,K+1) == i); % Cluster K Points
CENTS(i,:) = mean(F(A,:)); % New Cluster Centers
if sum(isnan(CENTS(:))) ~= 0 % If CENTS(i,:) Is Nan Then Replace It With Random Point
NC = find(isnan(CENTS(:,1)) == 1); % Find Nan Centers
for Ind = 1:size(NC,1)
CENTS(NC(Ind),:) = F(randi(size(F,1)),:);
end
end
end
end
X = zeros(size(F));
for i = 1:K
end idx = find(DAL(:,K+1) == i);
X(idx,:) = repmat(CENTS(i,:),size(idx,1),1);
end
  2 个评论
Image Analyst
Image Analyst 2017-12-28
编辑：Image Analyst 2017-12-28
Please read this and fix your formatting.
Next, read this link and then attach your image file.\
In the meantime, is the author answering your questions?

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Bernhard Suhm
Bernhard Suhm 2018-1-5
You need to provide some more context, what are you trying to accomplish? Right now, this feels like a coding puzzle. By my interpretation, this code clusters all the pixes of the input image into 3 clusters (running k-means KMI times), and then replaces each pixel by its cluster.

类别

在 Help Center 和 File Exchange 中查找有关 k-Means and k-Medoids Clustering 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by