inputim = imread('C:\Users\Admin\Desktop\IMAGES\Tomorrow\0013.jpeg');
input = imresize(inputim,[256,256]);
imshow(input,[]);
[row,col,cha] = size(input);
if cha ==3
input = rgb2gray(input);
end
preim = medfilt2(input);
imshow(preim,[]);
numofclusters = 5;
[clusteredimg,pixval,loc] = KIFCM( double(preim) , numofclusters );
imshow(clusteredimg{loc});
image = zeros(row,col);
for i = 1:256
for j = 1:256
if preim(i,j) > 50
image(i,j) = preim(i,j);
end
end
end
img1 = bwareaopen(image,200);
se = strel('disk',8);
img2 = imopen(img1,se);
img3 = bwareaopen(img2,200);
se = strel('disk',2);
img1 = imclose(img3,se);
areaval = regionprops(img2,'Area');
for ij = 1:length(areaval)
areavalue(ij) = areaval(ij).Area;
end
maxvalue = max(areavalue);
resimg = bwareaopen(img1,maxvalue);
skullremimage = zeros(row,col);
for i = 1:row
for j = 1:col
if resimg(i,j) == 1
skullremimage(i,j) = preim(i,j);
end
end
end
Thresval = max( skullremimage(:) )-30;
Threshimg = skullremimage>= Thresval;
imshow(skullremimage,[]);
Cite As
Harshil Patel (2023). Brain Tumour (https://www.mathworks.com/matlabcentral/fileexchange/107320-brain-tumour), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
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R2021b
Compatible with any release
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Version | Published | Release Notes | |
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1.0.0 |
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