Make 4 bounding Boxes and record the position, orientation and size of the objects in the image

The goal is to record the position, size and orientation of the 4 objects in the image and create a bounding box for each object

.

This is the code I have so far:

pic = imread("image.jpg");

grayImage = rgb2gray(pic);

subplot(2, 2, 1)
imshow(pic)
axis on;
axis image;
caption = sprintf('Original image');
title(caption,'FontSize',11,'Interpreter','none')
drawnow;

subplot(2, 2, 2)
imshow(grayImage)
axis on;
axis image;
caption = sprintf('Original grayscale');
title(caption,'FontSize',11,'Interpreter','none')
drawnow;

BW = imbinarize(grayImage);

subplot(2, 2, 3)
imshow(BW)
axis on;
axis image;
caption = sprintf('Binary image');
title(caption,'FontSize',11,'Interpreter','none');
props = regionprops(BW,'BoundingBox');
allBB = vertcat(props.BoundingBox);
for s = 1 : length(props)
  thisBB = props(s).BoundingBox;
  rectangle('Position', [thisBB(1),thisBB(2),thisBB(3),thisBB(4)],...
  'EdgeColor','r','LineWidth',2 )
end

drawnow;

LI = bwlabel(BW);

subplot(2, 2, 4)
imshow(grayImage)
axis on;
axis image;
caption = sprintf('Gray scale with box layover');
title(caption,'FontSize',11,'Interpreter','none');
drawnow;

Answer 1

[Image Analyst]

Try this:

% Demo by Image Analyst.
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 = 16;
markerSize = 6;
rgbImage = imread("blocks.jpeg");
% 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.
    fprintf('It is not really gray scale like we expected - it is color\n');
    % Convert color image to grayscale.
    grayImage = rgb2gray(rgbImage);
else
    % It's already grayscale.
    grayImage = rgbImage;
end
figure('Name', 'Demo by Image Analyze', 'NumberTitle','off')
subplot(2, 3, 1)
imshow(rgbImage)
axis on;
axis image;
caption = sprintf('Original Color  Image');
title(caption,'FontSize',fontSize,'Interpreter','none')
drawnow;
subplot(2, 3, 2)
imshow(grayImage)
axis on;
axis image;
impixelinfo;
caption = sprintf('Grayscale Version of Image');
title(caption,'FontSize',fontSize,'Interpreter','none')
drawnow;
subplot(2, 3, 3)
imhist(grayImage);
grid on;
title('Histogram','FontSize',fontSize,'Interpreter','none');
% Threshold to get a mask
% mask = imbinarize(grayImage, "adaptive", "ForegroundPolarity", "bright");
mask = grayImage < 75;
subplot(2, 3, 4)
imshow(mask)
axis on;
axis image;
caption = sprintf('Binary Image');
title(caption,'FontSize',fontSize,'Interpreter','none');
% Make measurements.
props = regionprops(mask,'BoundingBox', 'Area', 'Orientation');
allBB = vertcat(props.BoundingBox)
allAreas = [props.Area]
allAngles = [props.Orientation]
hold on;
for s = 1 : length(props)
    thisBB = props(s).BoundingBox;
    rectangle('Position', [thisBB(1),thisBB(2),thisBB(3),thisBB(4)],...
        'EdgeColor','r','LineWidth',2 )
    fprintf('Block %d has area = %d pixels and angle = %.2f.\n', ...
        s, props(s).Area, props(s).Orientation)
    xt = thisBB(1);
    yt = thisBB(2);
    caption = sprintf('%d at %.2f degrees', s, props(s).Orientation);
    text(xt, yt, caption, 'VerticalAlignment','bottom', 'Color', 'r', 'FontSize', 12, 'FontWeight','bold');
end
hold off;
drawnow;
[labeledImage, numBlobs] = bwlabel(mask);
labeledOverlayImage = labeloverlay(grayImage, labeledImage);
subplot(2, 3, 5)
imshow(labeledOverlayImage)
axis on;
axis image;
caption = sprintf('With box overlays');
title(caption,'FontSize',fontSize,'Interpreter','none');
drawnow;
% Maximize window.
g = gcf;
g.WindowState = "maximized";

Block 1 has area = 13796 pixels and angle = 35.29.

Block 2 has area = 16141 pixels and angle = -62.62.

Block 3 has area = 8714 pixels and angle = -52.44.

Block 4 has area = 17142 pixels and angle = 72.18.