I have an user interface which is shown below. There are couple of sections for displaying images in the Image panel. If I click the OPEN button in the Option Panel, an image is displayed on the left side of the Image Panel which is fine. However, problem arises when I click the PROCESS button in the Option Panel. I want the image to be displayed on the right side of the Image Panel. But the image is being displayed on a separate window which I don't want. Any suggestions would be very much appreciated. Thank you.
classdef Patient4 < matlab.apps.AppBase
% Properties that correspond to app components
properties (Access = public)
UIFigure matlab.ui.Figure
BrainDemoPanel matlab.ui.container.Panel
ImagePanel matlab.ui.container.Panel
Image_2 matlab.ui.control.Image
Image matlab.ui.control.Image
InfoPanel matlab.ui.container.Panel
PatientNameEditFieldLabel matlab.ui.control.Label
PatientNameEditField matlab.ui.control.EditField
OptionPanel matlab.ui.container.Panel
OpenButton matlab.ui.control.Button
ProcessButton matlab.ui.control.Button
IntensityProfileButton matlab.ui.control.Button
AreaButton matlab.ui.control.Button
FeedbackTextAreaLabel matlab.ui.control.Label
FeedbackTextArea matlab.ui.control.TextArea
AverageDensityButton matlab.ui.control.Button
StandardDeviationButton matlab.ui.control.Button
VolumeoftheliquidButton matlab.ui.control.Button
EditField matlab.ui.control.NumericEditField
EditField_2 matlab.ui.control.NumericEditField
EditField_3 matlab.ui.control.NumericEditField
EditField_4 matlab.ui.control.NumericEditField
EditField_5 matlab.ui.control.NumericEditField
end
properties (Access = public)
UIAxes matlab.ui.control.UIAxes
end
% Callbacks that handle component events
methods (Access = private)
% Button pushed function: OpenButton
function OpenButtonPushed(app, event)
[filename,filepath] = uigetfile({'*.*;*.jpg;*.png;*.bmp;*.oct'}, 'Select File to Open');
fullname = [filepath, filename];
app.Image.ImageSource = fullname;
end
% Button pushed function: IntensityProfileButton
function IntensityProfileButtonPushed(app, event)
I = imread('Intensity1.jpg');
x=[size(I,2)/2 size(I,2)/2];
y=[0 size(I,1)];
c = improfile(I,x,y);
figure
subplot(2,1,1)
imshow(I)
hold on
plot(x,y,'r')
subplot(2,1,2)
plot(c(:,1,1),'r')
hold on
plot(c(:,1,2),'g')
plot(c(:,1,3),'b')
end
% Image clicked function: Image_2
function Image_2Clicked(app, event)
end
% Callback function: AreaButton, Image
function AreaButtonPushed(app, event)
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 = 22;
% Check that user has the Image Processing Toolbox installed.
hasIPT = license('test', 'image_toolbox');
if ~hasIPT
% User does not have the toolbox installed.
message = sprintf('Sorry, but you do not seem to have the Image Processing Toolbox.\nDo you want to try to continue anyway?');
reply = questdlg(message, 'Toolbox missing', 'Yes', 'No', 'Yes');
if strcmpi(reply, 'No')
% User said No, so exit.
return;
end
end
%===============================================================================
% Read in a standard MATLAB gray scale demo image.
folder = 'C:\Users\morteza\Downloads\Matlab\Matlab';
baseFileName = 'M1.jpg';
% 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;
% 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(2, 2, 1);
% imshow(grayImage, []);
% axis on;
% 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(grayLevels, pixelCount);
% grid on;
% title('Histogram of original image', 'FontSize', fontSize);
% xlim([0 grayLevels(end)]); % Scale x axis manually.
binaryImage = grayImage~= 40;
% Display the binary image.
% subplot(2, 2, 3);
% imshow(binaryImage, []);
% axis on;
% title('Binary Image', 'FontSize', fontSize);
% Fill the binary image.
binaryImage = imfill(binaryImage, 'holes');
% Display the binary image.
% subplot(2, 2, 4);
% imshow(binaryImage, []);
% axis on;
% title('Filled Binary Image', 'FontSize', fontSize);
% Calculate the area using bwarea().
area1 = bwarea(binaryImage);
% Calculate the area in pixels using sum()
area2 = sum(binaryImage(:));
answer = 'area2';
app.FeedbackTextArea.Value = answer;
end
% Button pushed function: ProcessButton
function ProcessButtonPushed(app, event)
img = imread('Intensity1.jpg');
% get red, green, blue channels
redC = img(:,:,1);
greenC = img(:,:,2);
blueC = img(:,:,3);
% mask where red channel is greater than blue channel and green channel greater than blue channel
mask = redC > blueC & greenC > blueC;
% overlay mask into original image
finalimg = bsxfun(@times, img, cast(mask,class(img)));
%plotting
imshow(finalimg)
end
% Button pushed function: StandardDeviationButton
function StandardDeviationButtonPushed(app, event)
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 = 22;
% Check that user has the Image Processing Toolbox installed.
hasIPT = license('test', 'image_toolbox');
if ~hasIPT
% User does not have the toolbox installed.
message = sprintf('Sorry, but you do not seem to have the Image Processing Toolbox.\nDo you want to try to continue anyway?');
reply = questdlg(message, 'Toolbox missing', 'Yes', 'No', 'Yes');
if strcmpi(reply, 'No')
% User said No, so exit.
return;
end
end
%===============================================================================
% Read in a standard MATLAB gray scale demo image.
folder = 'C:\Users\morteza\Downloads\Matlab\Matlab';
baseFileName = 'M1.jpg';
% 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;
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(2, 2, 1);
% imshow(grayImage, []);
% axis on;
% 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(grayLevels, pixelCount);
% grid on;
% title('Histogram of original image', 'FontSize', fontSize);
% xlim([0 grayLevels(end)]); % Scale x axis manually.
binaryImage = grayImage~= 40;
% Display the binary image.
% subplot(2, 2, 3);
% imshow(binaryImage, []);
% axis on;
% title('Binary Image', 'FontSize', fontSize);
% Fill the binary image.
binaryImage = imfill(binaryImage, 'holes');
% Display the binary image.
% subplot(2, 2, 4);
% imshow(binaryImage, []);
% axis on;
% title('Filled Binary Image', 'FontSize', fontSize);
% % Calculate the area using bwarea().
% area1 = bwarea(binaryImage);
% % Calculate the area in pixels using sum()
% area2 = sum(binaryImage(:));
% message = sprintf('The area = %.1f, or %d\ndepending on how you want to calculate it', area1, area2);
% uiwait(helpdlg(message));
standarddeviation = std2(binaryImage(:));
message = sprintf('The standard deviation = %.1f, or %d\ndepending on how you want to calculate it', standarddeviation);
uiwait(helpdlg(message));
answer = 'standarddeviation';
app.FeedbackTextArea.Value = answer;
end
end
% Component initialization
methods (Access = private)
% Create UIFigure and components
function createComponents(app)
% Create UIFigure and hide until all components are created
Related Solutions
Use callbacks.When you click open button, write code in OpenButtonCallback to open the image and display on the left side of Image panel.After creating crop button, write code in CropButtonCallback to use the same image and crop dimensions and display the new image on the right side of Image panel.If you don't want to create new button for cropping, then you can write both the callbacks mentioned above for only open button one(open the image, store in variable and display on left side) after the other(crop implementaion on stored image variable and store in new variable and display on right side). Such that, when you select open button and select the image, both original and cropped images are shown at once.I hope this helps.
You need create uiaxes first and show the image on the axes. First, add Axes component in Design View of App Designer. UIAxes will be added automatically. % Properties that correspond to app components
properties (Access = public) UIFigure matlab.ui.Figure UIAxes matlab.ui.control.UIAxes % ...
end
Next, uncheck Visible from INTERACTIVITY of app.UIAxes from Inspector pane.
Then, do imagesc or imshow by spcifying app.UIAxes.% Button pushed function: OpenButton
function OpenButtonPushed(app, event) [filename,filepath] = uigetfile({'*.*;*.jpg;*.png;*.bmp;*.oct'}, 'Select File to Open'); fullname = [filepath, filename]; ImageFile = imread(fullname); imagesc(app.UIAxes, ImageFile); end
Best Answer