MATLAB: Image is too big to fit on screen!!

dicomdisplayfittingImage Processing Toolboximshow

Hi,

I'm currently working on a project; and I have some uint16 dicom images. But when I try to display these images by using imshow, I get a warning saying that image is too bigto fit on screen, displaying at 73%. I have already tried imresize, imscrollpanel and imagemagnification but I still get full black images.

Any suggestion would help. Thanks

Best Answer

Being all black is not related to the warning. The warning merely says that it's shrinking your huge image down so that it will fit into the smaller axes you have. Don't worry about it. If you want to turn that error off, you can - just see this snippet:

% Turn off this warning "Warning: Image is too big to fit on screen; displaying at 33% "
% To set the warning state, you must first know the message identifier for the one warning you want to enable. 
% Query the last warning to acquire the identifier.  For example: 
% warnStruct = warning('query', 'last');
% messageID = warnStruct.identifier
% messageID =
%    MATLAB:concatenation:integerInteraction
warning('off', 'Images:initSize:adjustingMag');

What are the max and min values of your array?

Related Solutions

MATLAB: How to uniformly quantize an intensity image into K levels (where K=4, 16, etc)? and how to display these quantized images? i am able to generate the gray scale image, but please let me know how to quantize it uniformly.

I see no reason why imquantize() won't work. Please show your code that demonstrates why imquantize() fails.

Alternatively you can use mat2gray followed by multiplication, as this demo shows:

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
clear;  % Erase all existing variables.
workspace;  % Make sure the workspace panel is showing.
format longg;
format compact;
fontSize = 15;
% Read in a standard MATLAB gray scale demo image.

folder = fullfile(matlabroot, '\toolbox\images\imdemos');
button = menu('Use which demo image?', 'CameraMan', 'Moon', 'Eight', 'Coins', 'Pout');
if button == 1
  baseFileName = 'cameraman.tif';
elseif button == 2
  baseFileName = 'moon.tif';
elseif button == 3
  baseFileName = 'eight.tif';
elseif button == 4
  baseFileName = 'coins.png';
else
  baseFileName = 'pout.tif';
end
% Read in a standard MATLAB gray scale demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
baseFileName = baseFileName;
% 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);
% Display the original gray scale image.

subplot(2, 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') 
% Let's compute and display the histogram.

[pixelCount grayLevels] = imhist(grayImage);
subplot(2, 2, 2); 
bar(pixelCount);
grid on;
title('Histogram of original image', 'FontSize', fontSize);
xlim([0 grayLevels(end)]); % Scale x axis manually.

% Quantize
numberOfGrayLevels = 4;
quantizedImage = uint8(mat2gray(grayImage) * (numberOfGrayLevels-1));
% Display the original gray scale image.
subplot(2, 2, 3);
imshow(quantizedImage, []);
caption = sprintf('Image quantized into %d gray levels', numberOfGrayLevels);
title(caption, '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') 
% Let's compute and display the histogram.
[pixelCount grayLevels] = imhist(quantizedImage);
subplot(2, 2, 4); 
bar(pixelCount);
grid on;
caption = sprintf('Histogram of image quantized into %d gray levels', numberOfGrayLevels);
title(caption, 'FontSize', fontSize);
lastGL = find(pixelCount>0, 1, 'last');
xlim([0 lastGL+1]); % Scale x axis manually.

MATLAB: How to find min and max gray level value in GUI

Try this in your callback after the imshow() call:

minGL = min(X(:));
maxGL = max(X(:));
message = sprintf('The min gray level = %d.\nThe max gray level = %d.', minGL, maxGL);
uiwait(helpdlg(message));

Best Answer

Related Solutions

MATLAB: How to uniformly quantize an intensity image into K levels (where K=4, 16, etc)? and how to display these quantized images? i am able to generate the gray scale image, but please let me know how to quantize it uniformly.

MATLAB: How to find min and max gray level value in GUI

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