Hi All, I am still new to MATLAB, i would like to detect the orientation of the box and if possible , I want to produce an output as I attached below.

Question

Nurul Farhana Mohd Fadzli il 13 Mag 2022

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Link diretto a questa domanda

https://it.mathworks.com/matlabcentral/answers/1718720-hi-all-i-am-still-new-to-matlab-i-would-like-to-detect-the-orientation-of-the-box-and-if-possible

Modificato: Lokesh il 18 Ott 2023

The green line box is the right position for a box while the red is not. so, I can compare and identify whether the box is in right position or not. Actually my project is about detecting the object position on a conveyor, so i really need the help from gurus here.

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Example output

i just use this coding that i found online but it doesnt meet my desired output

clc;
clear all;
close all;
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.
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 22;
% Read in a demo image.
folder = 'D:\Temporary Stuff';
baseFileName = 'C:\Users\User\Pictures\B6.jpeg';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
  % 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.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
rgbImage = imread(fullFileName);
% Get the dimensions of the image.  numberOfColorBands should be = 3.
[rows, columns, numberOfColorBands] = size(rgbImage);
if numberOfColorBands > 1
  grayImage = rgb2gray(rgbImage);
else
  grayImage = rgbImage;
end
% Display the original color image.
subplot(3, 3, 1);
imshow(grayImage);
title('Original Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Let's compute and display the histogram.
[pixelCount, grayLevels] = imhist(grayImage);
subplot(3, 3, 2); 
bar(grayLevels, pixelCount);
grid on;
title('Histogram of original image', 'FontSize', fontSize);
xlim([0 grayLevels(end)]); % Scale x axis manually.
drawnow;
mask = grayImage < 200; % Entire can lid
% Get rid of holes inside.
mask = imfill(mask, 'holes');
% Erode to shrink the mask and get rid of letters.
se = strel('disk', 45, 0);
mask = imerode(mask, se);
subplot(3, 3, 3);
imshow(mask);
drawnow;
title('Mask for box interior', 'FontSize', fontSize);
% Mask the image
maskedImage = grayImage;
maskedImage(~mask) = 0;
subplot(3, 3, 4);
imshow(maskedImage);
title('Masked upper box', 'FontSize', fontSize);
% Get gradient
gradImage = imgradient(maskedImage);
subplot(3, 3, 5);
imshow(gradImage, []);
title('Gradient', 'FontSize', fontSize);
% Shrink mask again to get rid of outer outline
se = strel('disk', 15, 0);
mask = imerode(mask, se);
gradImage(~mask) = 0;
subplot(3, 3, 6);
imshow(gradImage, []);
title('Gradient (smaller)', 'FontSize', fontSize);
% Get histogram
pixelCount = hist(gradImage(:), 100);
% Suppress 0 so we can see the histogram
pixelCount(1)=0;
subplot(3, 3, 7); 
bar(pixelCount);
grid on;
title('Histogram of Gradient Image', 'FontSize', fontSize);
drawnow;
% Threshold to get a binary image
binaryImage = gradImage > 45;
% Get rid of holes inside.
binaryImage = imfill(binaryImage, 'holes');
subplot(3, 3, 8);
imshow(binaryImage, []);
title('Initial Binary Image', 'FontSize', fontSize);
% Label the image
labeledImage = bwlabel(binaryImage);
% Make measurements of orientation
measurements = regionprops(labeledImage, 'Orientation', 'Area');
% Find the largest blob
[allAreas, sortIndexes] = max(sort([measurements.Area], 'Descend'))
% Pluck out largest one
biggestBlob = ismember(labeledImage, sortIndexes(1)) > 0;
subplot(3, 3, 9);
imshow(biggestBlob, []);
title('Final Binary Image', 'FontSize', fontSize);
% Measure again, this time just the largest blob.
% Label the image
labeledImage = bwlabel(biggestBlob);
% Make measurements of orientation
measurements = regionprops(labeledImage, 'Orientation', 'Area');
message = sprintf('The orientation angle = %f degrees\n', measurements(1).Orientation)
uiwait(helpdlg(message));