Brain Tumor from MRI using MATLAB

Algorithm:-
1)
close all;

clear all;

clc;

These lines are self-explanatory.
2)Import the image→ 

img=imread('pn.jpg');

3) Convert image to binary image, based on threshold→
BW = im2bw(I,level) converts the grayscale image I to binary image BW, by replacing all pixels in the input image with luminance greater than level with the value 1 (white) and replacing all other pixels with the value 0 (black).

img=imread('pn.jpg');

4) bwlabel function study link→

https://in.mathworks.com/help/images/ref/bwlabel.html

5) regionprops function study link→

https://in.mathworks.com/help/images/ref/regionprops.html

6)The fundamental idea is detecting max intensity area identification from a binary image →

**Note**
Find command is used to find the max intensity area.

7) ismember study matrial→

https://in.mathworks.com/help/matlab/ref/ismember.html

(It will return a matrix containing logical 1 (true) where the max intensity part is found in original
iamge. Elsewhere, the array contains logical 0 (false).

8) Dilation adds pixels to the boundaries of objects in an image. For that imdilate is
used.

9)Rest is simple plotting. Hope you will get the idea & hope

%Code:-

close all;

clear all;

clc;

img=imread('pn.jpg');

bw=im2bw(img,0.7);

label=bwlabel(bw);

stats=regionprops(label,'Solidity','Area');

density=[stats.Solidity];

area=[stats.Area];

high_dense_area=density>0.5;

max_area=max(area(high_dense_area));

tumor_label=find(area==max_area);

tumor=ismember(label,tumor_label);

se=strel('square',5);

tumor=imdilate(tumor,se);

figure(2);

subplot(1,3,1);

imshow(img,[]);

title('Brain');

subplot(1,3,2);

imshow(tumor,[]);

title('Tumor Alone');

[B,L]=bwboundaries(tumor,'noholes');

subplot(1,3,3);

imshow(img,[]);

hold on

for i=1:length(B)

plot(B{i}(:,2),B{i}(:,1), 'y' ,'linewidth',1.45);

end

title('Detected Tumor');

hold off;

For more details about the project, check this link→

https://in.mathworks.com/matlabcentral/fileexchange/63792-brain-tumor-detection-from-mri-
images-using-anisotropic-filter-and-segmentation-image-processing

https://in.mathworks.com/help/images/segment-3d-brain-tumor-using-deep-learning.html

https://www.matlabcoding.com/2019/09/3d-image-segmentation-of-brain-tumors.html