medfilt2 parameter coding problem
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image class uint8, coding as below
>> I=imread('sample01.tif');
>> J = imnoise(I,'salt & pepper',0.02);
>> K = medfilt2(J, 'indexed',...);
it say continue entering statement, what do i need to input in order to complete the process?
采纳的回答
Image Analyst
2013-4-7
Pass in the window size
medianFilteredImage = medfilt2(J, 'indexed', [3 3]);
You can use whatever window size you want, but for Salt and Pepper, 3 by 3 should work as long as the noise is not really severe.
2 个评论
Kasy
2013-4-7
Image Analyst
2013-4-7
Yes. I have a modified median filter to handle Salt and Pepper noise. Here it is (I also have a version for color images if you want):
clc; % Clear command window.
clear; % Delete all variables.
close all; % Close all figure windows except those created by imtool.
imtool close all; % Close all figure windows created by imtool.
workspace; % Make sure the workspace panel is showing.
fontSize = 15;
% Read in a standard MATLAB demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
baseFileName = 'coins.png';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
% Didn't find it there. Check the search path for it.
fullFileName = baseFileName; % No path this time.
if ~exist(fullFileName, 'file')
% Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist.', fullFileName);
uiwait(warndlg(errorMessage));
return;
end
end
grayImage = imread(fullFileName);
% Get the dimensions of the image. numberOfColorBands should be = 1.
[rows columns numberOfColorBands] = size(grayImage);
% Display the original image.
subplot(2, 2, 1);
imshow(grayImage);
title('Original Gray Scale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'Position', get(0,'Screensize'));
% Generate a noisy image with salt and pepper noise.
noisyImage = imnoise(grayImage,'salt & pepper', 0.05);
subplot(2, 2, 2);
imshow(noisyImage);
title('Image with Salt and Pepper Noise', 'FontSize', fontSize);
% Median Filter the image:
medianFilteredImage = medfilt2(noisyImage, [3 3]);
% Find the noise. It will have a gray level of either 0 or 255.
noiseImage = (noisyImage == 0 | noisyImage == 255);
% Get rid of the noise by replacing with median.
noiseFreeImage = noisyImage; % Initialize
noiseFreeImage(noiseImage) = medianFilteredImage(noiseImage); % Replace.
% Display the image.
subplot(2, 2, 3);
imshow(noiseFreeImage);
title('Restored Image', 'FontSize', fontSize);
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