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?
MATLAB: Medfilt2 parameter coding problem
image enhancementImage Processing Toolboxmedfilt2
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EDITED clc clear all myFolder='E:\MRP\accuracy\class2' m=input('Type the Number of Images to Process:'); for k = 1:m jpgFilename = sprintf('%d.jpg', k); fullFileName = fullfile(myFolder, jpgFilename); % end
grayImage = imread(fullFileName)) % Get the dimensions of the image. numberOfColorBands should be = 1.
[rows columns numberOfColorBands] = size(grayImage); if numberOfColorBands==3 grayImage=rgb2gray(grayImage); else grayImage=grayImage; end % Display the original image.
figure('name','grayImage','numbertitle','off');imshow(grayImage); fontSize=10 % Enlarge figure to full screen.
% Generate a noisy image with salt and pepper noise.
noisyImage = imnoise(grayImage,'salt & pepper', 0.05); figure('name','noisyImage','numbertitle','off');imshow(noisyImage); % 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.
figure('name','Restored Image','numbertitle','off');imshow(noiseFreeImage); % figure,imshow(noiseFreeImage);
% title('Restored Image', 'FontSize', fontSize);
endTry this:
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
imtool close all; % Close all imtool figures.
clear; % Erase all existing variables.
workspace; % Make sure the workspace panel is showing.
format longg;format compact;fontSize = 20;%===============================================================================
% Read in a standard MATLAB gray scale demo image.
folder = fileparts(which('cameraman.tif')); % Determine where demo folder is (works with all versions).
baseFileName = 'cameraman.tif';% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);% Check if file exists.
if ~exist(fullFileName, 'file') % File doesn't exist -- didn't find it there. Check the search path for it.
fullFileNameOnSearchPath = baseFileName; % No path this time.
if ~exist(fullFileNameOnSearchPath, 'file') % Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist in the search path folders.', fullFileName); uiwait(warndlg(errorMessage)); return; endendgrayImage = imread(fullFileName);% Get the dimensions of the image.
% numberOfColorBands should be = 1.
[rows, columns, numberOfColorBands] = size(grayImage);if numberOfColorBands > 1 % It's not really gray scale like we expected - it's color.
% Convert it to gray scale by taking only the green channel.
grayImage = grayImage(:, :, 2); % Take green channel.
end% Display the original gray scale image.
subplot(1, 2, 1);imshow(grayImage, []);title('Original Grayscale Image', 'FontSize', fontSize);% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off') % Initialize an output image.
noisyImage = grayImage; % Initialize
% Get 5,000 random locations
noiseIndexes = randperm(numel(grayImage), 5000);% Add noise
noisyImage(noiseIndexes) = 255;% Display the noisy image.
subplot(1, 2, 2);imshow(noisyImage, []);title('Noisy Image', 'FontSize', fontSize);axis on;
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