How to implement a function to apply the 3x3 average filter to a gray-scale image.
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amy elmossly
el 14 de Nov. de 2012
Here is my code
function AverageFilter(image)
I = imread(image);
[x,y] = size(I);
for i = 2:x-1
for j = 2:y-1
sum = 0;
for ii = i-1:i+1
for jj = j-1:j+1
sum = sum + I(ii,jj);
end
end
I2(i,j) = ceil(sum/9);
end
end
imshow(I2);
it keeps giving me the following error: Warning: Image is too big to fit on screen; displaying at 67% > In imuitools\private\initSize at 73 In imshow at 264 In AverageFilter at 18
and the resulting image is very dark..
I want to know what did i do wrong in my code and to fix this error?!!!
7 comentarios
justin gat
el 30 de Mayo de 2021
ok sir now i will tag u and will write a question
thank you i need it as soon as possible
justin gat
el 30 de Mayo de 2021
sir here the question please do help sir
Respuesta aceptada
Image Analyst
el 14 de Nov. de 2012
Editada: Image Analyst
el 14 de Nov. de 2012
Don't worry about the warning. Your code can be done like this:
blurredImage = conv2(single(yourGrayScaleImage), ones(3)/9, 'same');
imshow(blurredImage, []); % or imshow(uint8(blurredImage), [0 255]);
12 comentarios
Franzi
el 7 de Jun. de 2020
Hello? Are you still there? Do you know the function reshape and how to use it?
Image Analyst
el 7 de Jun. de 2020
You'd have to reshape the image into a column of 3 pixels. Then use repelem() to repeat each column because the windows overlap don't they? You don't want them to jump, right. Then use a for loop to go down the columns. You'd have to think about it. It gets tricky because you'll have to have each pixel in there 9 times so it's tricky to figure out how to do that with repelem() and reshape(). It's much more difficult when they don't let you do it the simple and obvious ways. It's MUCH easier if they let you move the window in jumps of 3 pixels over and down rather than 1 pixel over and down.
Más respuestas (2)
sateesh kumar
el 16 de Abr. de 2020
Dont worry about Warning/Display Warning of too big size, you can simply write warning off at the starting of program.
0 comentarios
Nitishselvakumar Nadar
el 22 de Abr. de 2021
img = imread("Tulip.jpg");
[row ,col] = size(img);
for i = 2:1:row-1
for j = 2:1:col-1
x= img(i+1:i-1,j+1:j-1);
C=x(:)';
C=sort(C);
avg = sum(C)/9;
img(i,j) = avg;
end
end
imshow(img);
4 comentarios
mohammad sheikholmolok
el 27 de Nov. de 2022
Movida: DGM
el 27 de Nov. de 2022
I write for you the correct code
DGM
el 27 de Nov. de 2022
Editada: DGM
el 27 de Nov. de 2022
If you're going to offer an improved bit of code, explain why it's better.
This is still a lot of room for improvement.
% read an image
inpict = imread('cameraman.tif'); % use unambiguous variable names
% what stops this from breaking if the image is RGB?
[row,col,~] = size(inpict); % always discard the last output from size()
outpict = zeros(row,col,class(inpict)); % preallocate to appropriate class
for i = 2:1:row-1 % avoiding the edges is a simple strategy, but not very good
for j = 2:1:col-1 % a better way would be edge padding/replication
% get a sample
sampleblock = inpict(i-1:i+1,j-1:j+1);
% don't need a bunch of temporary variables or unused lines
% RHS is uint8-scale double
% LHS is uint8
% the assignment implicitly uses round() when casting
outpict(i,j) = mean(sampleblock(:));
end
end
% don't need a bunch of redundant images
montage({inpict outpict})
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1209998/image.png)
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