MATLAB: Grayscale and binary at the same figure with high QUALITY!

bunarygrayscaleImage Processing Toolboxsame figure

Hi.
How can I put a grayscale and its binary at the same figure [(next to each other) for comparison] with HIGH RESOLUTION?
I know I can do it with subplot, but it reduces the quality and wastes a lot of space of figure size. you know what I mean? Is there another way?
What I want is for example something like imwrite (which saves all the info of the figure) but for both grayscale and binary.
I could do so for two binary images by putting an empty (or full!) matrix between them, but for a grayscale and binary, how may I do so, since their color info and type are very different.
Thanks so much!
Steven

Best Answer

Stitch them together, like this:
% First need to make the binary image in the range 0-255 instead of 0-1 so you can see it.

binaryImage = 255 * uint8(binaryImage);
stitchedImage = [grayImage, binaryImage];
imshow(stitchedImage, []);
Here's a full blown demo:
clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
imtool close all;  % Close all imtool figures if you have the Image Processing Toolbox.
clear;  % Erase all existing variables. Or clearvars if you want.
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 20;
% Read in a standard MATLAB gray scale demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
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.
  fullFileName = baseFileName; % No path this time.
  if ~exist(fullFileName, '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
grayImage = 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') 
% Create a binary image by thresholding.
binaryImage = grayImage > 100;
subplot(1,2,2);
imshow(binaryImage, []);
title('Binary Image', 'FontSize', fontSize);
% Create a new figure window.
figure;
% Stitch them together.
% First need to make the binary image in the range 0-255 instead of 0-1 so you can see it.
binaryImage = 255 * uint8(binaryImage);
stitchedImage = [grayImage, binaryImage];
imshow(stitchedImage, []);
title('Stitched 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')
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