how to apply the arithmetic mean filter to a medical image to improve it? I have wrote this code but it did not work, there is an error which I could not figure it out.
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Lama Awawdeh
on 20 Dec 2018
Commented: Jahid Hasan
on 19 Apr 2022
%arithmatic mean filter
im=imread('chest.tif');%loading image
figure,imshow(im);
title('original');
[row col]=size(im);%storing size of image
for i=1:1:row-2;%sweeping through rows
for j=1:1:col-2;%sweeping through columns
for u=1:1:2;%sweeping through window
for v=1:1:2;
%taking arithmetic mean
im(i,j)=im(i,j)+im(i+u,j+v);
im(i,j)=im(i,j)/9;
end
end
end
end
%showing final image
figure,imshow(im);
title('arthmean');
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VISHNU VARDHAN
on 29 Apr 2020
%arithmatic mean filter
clc;
clear all;
close all;
x=imread('1.jpg');
x1=imresize(x,[256,256]);
figure;imshow(x1)
title('original image')%loading image.
x2=rgb2gray(x1);
figure;imshow(x2);title('gray image');
[m,n]=size(x2);%storing size of image.
for i=1:m-3
for j=1:n-3
a=x(i:i+3,j:j+3);
v(i,j)=sum(sum(a));
end
end
y=mat2gray(v);
figure;imshow(y);
title('average image');
this is useful for average of the any hd image.if u want to increase size,change pixcels in imresize command...................
Jahid Hasan
on 19 Apr 2022
Is this loop similar to finding mean as well, how about median, what way I can write a Mexican function? Any suggestions
Accepted Answer
KALYAN ACHARJYA
on 20 Dec 2018
Edited: KALYAN ACHARJYA
on 20 Dec 2018
Avoid multiple for loops, use inbuilt imfilter function for masking operation.
The concept is same in all images. For image enhancement you can perform numerous operation depends on input image.
%arithmetic mean filter
im=rgb2gray(imread('chest.tif'));
h=fspecial('average',3);
filter_image=imfilter(im,h);
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More Answers (1)
Jan
on 20 Dec 2018
Edited: Jan
on 20 Dec 2018
for u=1:1:2;%sweeping through window
for v=1:1:2;
%taking arithmetic mean
im(i,j)=im(i,j)+im(i+u,j+v);
im(i,j)=im(i,j)/9;
end
end
This is a 2x2 window starting right and top of the current pixel. You divide the result repeatedly by 9. I assume you mean:
for i = 2:row-1
for j = 2:col - 1
a = 0;
for u = -1:1
for v = -1:1
a = a + im(i + u, j + v);
end
end
im(i, j) = a / 9;
end
end
conv2 and filter2 will me more efficient.
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