MATLAB: How to get two images to display top and bottom of screen in Matlab/Psychtoolbox? I can already do left and right sides.

imagepsychtoolbox

Hi, I'm trying to display two images, one on the top, and one at the bottom of the screen in Psychtoolbox. I know how to do that already with the right and left sides of the screen. The code for that is below. Any advice would be appreciated!

[imageHeight,imageWidth,colorChannels]=size(ImageDataData);
      gap=100;
      leftRect=[xCenter-gap-imageWidth,yCenter-imageHeight/2,xCenter-gap,yCenter+imageHeight/2];
      rightRect=[xCenter+gap,yCenter-imageHeight/2,xCenter+gap+imageWidth,...
         yCenter+imageHeight/2];

Best Answer

The values are the x,y coordinates of the top right coordinates of the rectangle the x,y coordinates of the bottom left coordinate of the rectangle

    topRect = [xCenter-imageWidth/2, YCenter-gap-imageHeight, xCenter+imageWidth/2, Ycenter-gap];
    bottomRect = [xCenter-imageWidth/2, Ycenter+gap, xCenter+imageWidth/2, Ycenter+gap+imageHeight];

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MATLAB: Measure object width in a depth image (able to choose shoulder width in the image)

Try this:

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 short g;
format compact;
fontSize = 25;
%===============================================================================

% Get the name of the image the user wants to use.
baseFileName = 'depth6.png';
% Get the full filename, with path prepended.
folder = pwd
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
%===============================================================================
% Read in demo image.
grayImage = 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(grayImage)
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(grayImage);
  % 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 = grayImage(:, :, 2); % Take green channel.
end
% Display the original image.
subplot(2, 2, 1);
imshow(grayImage, []);
axis on;
caption = sprintf('Original Image, %s', baseFileName);
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0.05 1 0.95]);
% 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')
% Find the white surround.
binaryImage = grayImage > 45000 & grayImage < 50000;
% Fill the image to get rid of black spot at center.
binaryImage = imfill(binaryImage, 'holes');
% Take the largest blob only.
binaryImage = bwareafilt(binaryImage, 1);
% Display the image.

subplot(2, 2, 2);
histogram(grayImage);
title('Histogram of depth image', 'FontSize', fontSize);
grid on;
subplot(2, 2, 3);
imshow(binaryImage, []);
axis on;
caption = sprintf('Binary Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
hp = impixelinfo();
drawnow;
% Get the bounding box of the blob.
props = regionprops(binaryImage, 'BoundingBox');
yTop = props.BoundingBox(2)
xLeft =  props.BoundingBox(1)
width =  props.BoundingBox(3);
height =  props.BoundingBox(4);
% Erase bottom half, assuming shoulders won't be down there.
yBottom = round(yTop + height/2);
binaryImage(yBottom:end, :) = false;
% Display the image.
subplot(2, 2, 4);
imshow(binaryImage, []);
axis on;
caption = sprintf('Binary Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
% Get bounding box again on just the top half
props = regionprops(binaryImage, 'BoundingBox');
boundingBox = props.BoundingBox
yTop = boundingBox(2)
xLeft =  boundingBox(1)
shoulderWidth =  boundingBox(3)
height =  boundingBox(4)
% Put up red rectangle around shoulders:
rectangle('Position', round(boundingBox), 'EdgeColor', 'r', 'LineWidth', 2);
message = sprintf('The shoulder width = %d', shoulderWidth);
title(message, 'FontSize', fontSize, 'Interpreter', 'None');
uiwait(helpdlg(message));

MATLAB: Method for calculating pixels in the distance varying image

Why can't you just send a turn right or left signal via the RF communication? Why does it have to look at signs with arrows on them and do image analysis of them?

If you did need to do image analysis, just compute the orientation and split the blob in two and find out which side has more pixels on it. That side will be the side with the arrowhead on it. By the way, you forgot to attach a picture of your arrow.

Best Answer

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MATLAB: Measure object width in a depth image (able to choose shoulder width in the image)

MATLAB: Method for calculating pixels in the distance varying image

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