How to remove TEXT from an ECG image?
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I have an ECG image as attached. Kindly help me to remove the TEXT regions{I, II, III, avR,aVL...V1 to V5 etc}. Only after removing these regions I an go further in my research study. Please help me to solve this. I use matlab 2012.
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Image Analyst
2018년 12월 13일
편집: Image Analyst
2018년 12월 13일
Easy. Simply create a mask that is true where there are letters, and use it to erase where the mask is.
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
% clear; % Erase all existing variables. Or clearvars if you want.
workspace; % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 18;
folder = pwd; % Current folder.
baseFileName = 'ecg.jpg';
% % Have user browse for a file, from a specified "starting folder."
% % For convenience in browsing, set a starting folder from which to browse.
% startingFolder = pwd; % or 'C:\wherever';
% if ~exist(startingFolder, 'dir')
% % If that folder doesn't exist, just start in the current folder.
% startingFolder = pwd;
% end
% % Get the name of the file that the user wants to use.
% defaultFileName = fullfile(startingFolder, '01.png');
% [baseFileName, folder] = uigetfile(defaultFileName, 'Select a file');
% if baseFileName == 0
% % User clicked the Cancel button.
% return;
% end
fullFileName = fullfile(folder, baseFileName)
%===============================================================================
% Check if file exists.
if ~exist(fullFileName, 'file')
% The file doesn't exist -- didn't find it there in that folder.
% Check the entire search path (other folders) for the file by stripping off the folder.
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;
end
end
rgbImage = imread(fullFileName);
% Get the dimensions of the image.
% numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
[rows, columns, numberOfColorChannels] = size(rgbImage)
if numberOfColorChannels > 1
% It's not really gray scale like we expected - it's color.
% Use weighted sum of ALL channels to create a gray scale image.
% grayImage = rgb2gray(rgbImage);
% ALTERNATE METHOD: Convert it to gray scale by taking only the green channel,
% which in a typical snapshot will be the least noisy channel.
grayImage = rgbImage(:, :, 2); % Take green channel.
else
grayImage = rgbImage; % It's already gray scale.
end
% Now it's gray scale with range of 0 to 255.
% Display the image.
subplot(2, 2, 1);
imshow(grayImage, []);
title('Original Image', 'FontSize', fontSize, 'Interpreter', 'None');
axis('on', 'image');
hp = impixelinfo();
%------------------------------------------------------------------------------
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0.04, 1, 0.96]);
% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')
drawnow;
% Display the histogram.
subplot(2, 2, 2);
histogram(grayImage, 256);
title('Histogram of image', 'FontSize', fontSize, 'Interpreter', 'None');
grid on;
drawnow;
% Crop out black rectangle inside the white frame.
croppedImage = grayImage(33:622, 142:1392);
% Update sizes.
[rows, columns, numberOfColorChannels] = size(croppedImage)
% Read in mask
lettersMask = imread('mask.png');
% Resize it if necessary.
if ~isequal(size(croppedImage), size(lettersMask))
size(croppedImage) % Display in command window, ofr our information
size(lettersMask)
imresize(lettersMask, size(croppedImage));
end
% Display the mask.
subplot(2, 2, 2);
imshow(lettersMask);
hp = impixelinfo();
axis('on', 'image'); % Make sure image is not artificially stretched because of screen's aspect ratio.
title('Stored mask recalled from disk', 'FontSize', fontSize);
% Mask image
maskedImage = croppedImage; % Initialize
maskedImage(lettersMask) = 0; % Erase where the letters are.
% Display the mask.
subplot(2, 2, 3:4);
imshow(maskedImage, []);
hp = impixelinfo();
axis('on', 'image'); % Make sure image is not artificially stretched because of screen's aspect ratio.
title('Final cropped and masked image', 'FontSize', fontSize);
msgbox('Done!');
You will be left with an image that is essentially no good to analyze. You really need to get the actual signals and not try to do signal analysis from a heavily quantized, low resolution image like this.
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