MATLAB: Parking lot problem MATlab

Image Processing ToolboxMATLABmatlab guiparking lot

Ok I have to rephrase my question I do not need a complete solution.

Inital push in the right direction how to do a parking lot code in GUI with an graphic interface? I never did an actual parking lot interface in GUI just comets and slope graphs. How do you tell the system I need a parking lot with cars coming and going?

Thank you.

Best Answer

As a start, see my attached parking lot demo.

Also see MAGIC for a generic user interface that you can adapt.

MAGIC - MATLAB Generic Imaging Component

Related Solutions

MATLAB: Free parking area detect

OK, not sure how far you've gotten with my last suggestion, but I've whipped together something while I was watching a Mathworks webinar on deep learning this afternoon. You probably already have this by now, but for what it's worth, here's what I have:

% Demo to find available parking spaces.  By Image Analyst, May 12, 2020.
% Requires 3 images: 'Parking Lot without Cars.jpg', 'Parking Lot with Cars.jpg', 'Parking Lot Mask.png'
% Clean up.
clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
clearvars;
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 16;
fprintf('Beginning to run %s.m ...\n', mfilename);
%-----------------------------------------------------------------------------------------------------------------------------------







% Read in reference image with no cars (empty parking lot).
folder = pwd;
baseFileName = 'Parking Lot without Cars.jpg';
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
rgbEmptyImage = imread(fullFileName);
[rows, columns, numberOfColorChannels] = size(rgbEmptyImage);
% Display the test image full size.

subplot(2, 3, 2);
imshow(rgbEmptyImage, []);
axis('on', 'image');
caption = sprintf('Reference 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.




%-----------------------------------------------------------------------------------------------------------------------------------
% Read in test image (image with cars parked on the parking lot).
folder = pwd;
baseFileName = 'Parking Lot with Cars.jpg';
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
rgbTestImage = imread(fullFileName);
[rows, columns, numberOfColorChannels] = size(rgbTestImage);
% Display the original image full size.
subplot(2, 3, 1);
imshow(rgbTestImage, []);
axis('on', 'image');
caption = sprintf('Test 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.
hFig1 = gcf;
hFig1.Units = 'Normalized';
hFig1.WindowState = 'maximized';
% 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.

hFig1.Name = 'Demo by Image Analyst';
%-----------------------------------------------------------------------------------------------------------------------------------
% Read in mask image that defines where the spaces are.
folder = pwd;
baseFileName = 'Parking Lot Mask.png';
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
maskImage = imread(fullFileName);
[rows, columns, numberOfColorChannels] = size(maskImage);
% Create a binary mask from seeing where the min value is 255.
mask = min(maskImage, [], 3) == 255;
% Display the test image full size.
subplot(2, 3, 3);
imshow(mask, []);
axis('on', 'image');
caption = sprintf('Mask 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.
%-----------------------------------------------------------------------------------------------------------------------------------
% Find the cars.
% First, get the absolute difference image.
diffImage = imabsdiff(rgbEmptyImage, rgbTestImage);
% Display the gray scale image.

subplot(2, 3, 4);
imshow(diffImage, []);
axis('on', 'image');
caption = sprintf('Difference Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
% Convert to gray scale and mask it with the spaces mask.
diffImage = rgb2gray(diffImage);
diffImage(~mask) = 0;
% Get a histogram of the image so we can see where to threshold it at.
subplot(2, 3, 5);
histogram(diffImage(diffImage>0));
% Display the gray scale image.
imshow(diffImage, []);
axis('on', 'image');
caption = sprintf('Gray Scale Difference Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
% Threshold the image to find pixels that are substantially different from the background.
kThreshold = 40; % Determined by examining the histogram.
parkedCars = diffImage > kThreshold;
% Fill holes.
parkedCars = imfill(parkedCars, 'holes');
% Get convex hull.
parkedCars = bwconvhull(parkedCars, 'objects');
% Display the mask image.
subplot(2, 3, 6);
imshow(parkedCars, []);
impixelinfo;
axis('on', 'image');
caption = sprintf('Parked Cars Binary Image with Threshold = %.1f', kThreshold);
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
%-----------------------------------------------------------------------------------------------------------------------------------
% Measure the percentage of white pixels within each rectangular mask.
props = regionprops(mask, parkedCars, 'MeanIntensity', 'Centroid', 'BoundingBox');
centroids = vertcat(props.Centroid);
%-----------------------------------------------------------------------------------------------------------------------------------
% Optional sorting by row with kmeans.  Only appropriate for parking lot with rectangular grid aligned with image edges.
% Sort y centroids 
numRows = 4; % There are 4 rows in the parking lot to park in.
[indexesY, clusterCenterY] = kmeans(centroids(:, 2), numRows);
% Put lines across at the y centroids of the spaces in the mask rows.
for k = 1 : numRows
	yline(clusterCenterY(k), 'Color', 'g', 'LineWidth', 2);
end
% Put yellow bounding boxes for each space (whether taken or available).
for k = 1 : length(props)
	rectangle('Position', props(k).BoundingBox, 'EdgeColor', 'y');
end
% Now the clusters are not necessarily sorted with cluster 1 at the top, cluster 2 right below it, cluster 3 below that, and cluster 4 at the bottom.
% So we need to sort the clusters by the y value of the cluster center.
[~, sortOrder] = sort(clusterCenterY, 'ascend');
% Now sort the indexes and we will have them going from top to bottom.
originalIndexes = indexesY; % Save a copy so we can compare to make sure it did it correctly.
fprintf('\nOriginal Class Number    New Class #\n');
for k = 1 : length(indexesY)
	currentClass = indexesY(k);
	newClass = find(sortOrder == currentClass);
	fprintf('                  %d       %d\n', newClass, currentClass);
	indexesY(k) = newClass;
% 	text(centroids(k, 1), centroids(k, 2)-15, num2str(currentClass), 'Color', 'r');
% 	text(centroids(k, 1), centroids(k, 2)+15, num2str(newClass), 'Color', 'g');
end
% comparedLabels = [originalIndexes(:), indexesY(:)];
newLabels = 1 : length(props); % Look up table so we can map the original index to a new sorted index.
pointer = 0;
for k = 1 : numRows
	% For this class (row of parking), get the elements of props that are in this row (y value).
	thisClass = find(indexesY == k);
	% The x centroid values are already sorted from left to right so we're ok there - no need to sort.
	newLabels((pointer + 1) : (pointer + length(thisClass))) = thisClass;
	pointer = pointer + length(thisClass);
end
% Now that we have the new sort order, apply it.
props = props(newLabels);
% Re-extract these vectors with the new order.
percentageFilled = [props.MeanIntensity]
centroids = vertcat(props.Centroid);
%-----------------------------------------------------------------------------------------------------------------------------------
%-----------------------------------------------------------------------------------------------------------------------------------
% Place a red x on the image if the space is filled, and a green circle if the space is available to be parked on (it's empty).
% Go through each rectangle and say whether it's filled with a car or not.
% We'll say it's filled if 10% of the pixels are filled.
hFig2 = figure;
imshow(rgbTestImage);
hFig2.WindowState = 'maximized';
% Give a name to the title bar.
hFig2.Name = 'Demo by ImageAnalyst';
hold on;
for k = 1 : length(props)
	x = centroids(k, 1);
	y = centroids(k, 2);
	blobLabel = sprintf('%d', k);
	if percentageFilled(k) > 0.10
		% It has a car in that rectangle.
		plot(x, y, 'rx', 'MarkerSize', 30, 'LineWidth', 4);
		% Put up the blob label.

		text(x, y+20, blobLabel, 'Color', 'r', 'FontSize', 15, 'FontWeight', 'bold');
	else
		% No car is parked there.  The space is available.
		plot(x, y, 'g.', 'MarkerSize', 40, 'LineWidth', 4);
		% Put up the blob label.
		text(x, y+20, blobLabel, 'Color', 'g', 'FontSize', 15, 'FontWeight', 'bold');
	end
	
end
title('Marked Spaces.  Green Spot = Available.  Red X = Taken.', 'FontSize', fontSize);
fprintf('Done running %s.m ...\n', mfilename);

MATLAB: Parking space using IMAGE PROCESSING

You've cut the error message and removed the most important bit, the last part which told you which line of your code is responsible for the error.

I'm guessing it may be this line:

imshow pair (f,I)

which should be written

imshowpair(f, I)

with no space between imshow and pair.

Best Answer

Related Solutions

MATLAB: Free parking area detect

MATLAB: Parking space using IMAGE PROCESSING

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