Well, you could use image analysis:
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 = 36;
% 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 color demo image.
folder = 'C:\Users\aaditya\Documents\Temporary';
baseFileName = 'part1.jpg';
% 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);
% Display the original color image.
subplot(2, 2, 1);
imshow(rgbImage);
axis on;
title('Original Color Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'Outerposition', [0, 0, 1, 1]);
% Extract the individual red, green, and blue color channels.
% redChannel = rgbImage(:, :, 1);
greenChannel = rgbImage(:, :, 2);
% blueChannel = rgbImage(:, :, 3);
% Get the binaryImage
binaryImage = greenChannel < 200;
% Display the original color image.
subplot(2, 2, 2);
imshow(binaryImage);
axis on;
title('Binary Image', 'FontSize', fontSize);
% Find the baseline
verticalProfile = sum(binaryImage, 2);
lastLine = find(verticalProfile, 1, 'last')
% Scan across columns finding where the top of the hump is
for col = 1 : columns
yy = lastLine - find(binaryImage(:, col), 1, 'first');
if isempty(yy)
y(col) = 0;
else
y(col) = yy;
end
end
subplot(2, 2, 3);
plot(1 : columns, y, 'b-', 'LineWidth', 3);
grid on;
title('Y vs. X', 'FontSize', fontSize);
ylabel('Y', 'FontSize', fontSize);
xlabel('X', 'FontSize', fontSize);
Of course you'll get better results if you use a PNG image rather than that crummy JPG which has all kinds of bad compression artifacts.
