Can anyone help me to segment the stone from the kidney image

3 次查看(过去 30 天)
Hi
I am using k means clustering algorithm and this is code i have used
grayLevels = double(grayImage(:));
[clusterIndexes, clusterCenters] = kmeans(grayLevels, numberOfClusters,...
'distance', 'sqEuclidean', ...
'Replicates', 2);
labeledImage = reshape(clusterIndexes, rows, columns);
subplot(2, 2, 2);
figure,imshow(labeledImage,[]);
caption = sprintf('k-means with %d clusters', numberOfClusters);
title(caption,'FontSize', fontSize);
axis on image;
colorbar
hp = impixelinfo();
And the input and output image are attached here. Can anyone help me to segment the stone region(the white dot) from the image.
Any help is aapreciated.

回答(1 个)

Saurabh Gund
Saurabh Gund 2022-4-27
clc
clear all
close all
warning off
[filename,pathname]=uigetfile('*.*','Pick a MATLAB code file');
filename=strcat(pathname,filename);
a=imread(filename);
%subplot(3,4,1),
imshow(a);
%Convert to grayscale image
%b=rgb2gray(a);
b=im2gray(a);
%subplot(3,4,2),
imshow(b);
impixelinfo;
c=imbinarize(b,20/255);
%c=b>50;
%subplot(3,4,3),
imshow(c);
%Fill the holes in the image
d=imfill(c,'holes');
%subplot(3,4,4),
imshow(d);
%delete writings
e=bwareaopen(d,1000);
%subplot(3,4,5),
imshow(e);
PreprocessedImage=uint8(double(a).*repmat(e,[1 1 3]));
%subplot(3,4,6),
imshow(PreprocessedImage);
  1 个评论
Image Analyst
Image Analyst 2022-4-28
Here is what your code produces. Where is the kidney?
clc
clear all
close all
warning off
% [filename,pathname]=uigetfile('*.*','Pick a MATLAB code file');
filename = '\st1.png';
pathname = pwd;
filename=strcat(pathname,filename);
a=imread(filename);
%subplot(3,4,1),
imshow(a);
%Convert to grayscale image
%b=rgb2gray(a);
b=im2gray(a);
%subplot(3,4,2),
imshow(b);
impixelinfo;
c=imbinarize(b,20/255);
%c=b>50;
%subplot(3,4,3),
imshow(c);
%Fill the holes in the image
d=imfill(c,'holes');
%subplot(3,4,4),
imshow(d);
%delete writings
e=bwareaopen(d,1000);
%subplot(3,4,5),
imshow(e);
PreprocessedImage=uint8(double(a).*repmat(e,[1 1 3]));
%subplot(3,4,6),
imshow(PreprocessedImage);

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