
Creating 9x9 average filter and applying it to an image with certain values.
27 次查看(过去 30 天)
显示 更早的评论
Hi again, first how to create a 9x9 average filter. I know how to create 3x3 average filter -
>> F = fspecial('average');
But how do I make it to be 9x9?
Also for the boundaries do I just put the value like that(I will show the whole code):
>> I = imread('cameraman.tif');
>> F = fspecial('average');
>> J = imfilter(I,F,255);
The last line creates the boundary to be with value X=255. Also when I do it, why I don't see any change in the picture, it shows the same picture just filtered?
0 个评论
采纳的回答
Image Analyst
2015-10-19
grayImage = imread('cameraman.tif');
subplot(2,1,1);
imshow(grayImage);
title('Original Image', 'FontSize', 15);
blurredImage = imfilter(grayImage, ones(9)/81, 'symmetric');
subplot(2,1,2);
imshow(blurredImage);
title('Blurred Image', 'FontSize', 15);

3 个评论
Atalay Asa
2020-6-7
Do average filter and average mean filter are same thing? Can we use your code for 9x9 arithmetic mean filter?
Image Analyst
2020-6-7
Yes, as far as I know they're the same. average and mean are just two words for the same thing and doubling them up doesn't really change the meaning. Yes, my code does a 9x9 filter. More generally
grayImage = imread('cameraman.tif');
subplot(2,1,1);
imshow(grayImage);
title('Original Image', 'FontSize', 15);
windowSize = 9; % Whatever you want.
kernel = ones(windowSize, windowSize) / windowSize ^ 2;
blurredImage = imfilter(grayImage, kernel, 'symmetric');
subplot(2,1,2);
imshow(blurredImage);
title('Blurred Image', 'FontSize', 15);
更多回答(2 个)
Santhosh Prasad M
2019-1-26
编辑:Santhosh Prasad M
2019-1-26
I = imread('cameraman.tif');
figure,imshow(I);title('Original Image');
C=fspecial('average',[9,9]); %exact 9x9 average filter
d=imfilter(I,C);
figure,imshow(d);title('9x9 average filter');
0 个评论
Simran Kumari
2022-2-10
img = imread('exp3.jpeg');
subplot(2,2,1);
imshow(img);
title('Original Image');
I=rgb2gray(img);
subplot(2,2,2);
imshow(I);
title('gray image');
windowSize = 3; % Whatever you want.
kernel = ones(windowSize, windowSize) / windowSize ^ 2;
d = imfilter(I, kernel, 'symmetric');
subplot(2,2,3);
imshow(d);
title('image after filter');
0 个评论
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!