How to fitline on my binary image and find distance

Prashant Kumar answered . 2024-12-24 23:16:22

% 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 long g;
format compact;
fontSize = 22;

%--------------------------------------------------------------------------------------------------------
%    READ IN IMAGE
folder = pwd;
baseFileName = 'image.jpeg';
% Get the full filename, with path prepended.
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
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
subplot(2, 2, 1);
imshow(grayImage, []);
impixelinfo;
title('Original Gray Scale Image', 'FontSize', fontSize, 'Interpreter', 'None');
hFig = gcf;
hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.
drawnow;

%--------------------------------------------------------------------------------------------------------
%    SEGMENTATION OF IMAGE
% Get a binary image
binaryImage = imbinarize(grayImage);
% Get rid of big white frame around the border of the image.
binaryImage = imclearborder(binaryImage);
subplot(2, 2, 2);
imshow(binaryImage, []);
impixelinfo;
title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
hFig = gcf;
hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.
drawnow;

% Scan image finding the distance from topmost white pixel to bottommost.
topRows = nan(1, columns);
bottomRows = nan(1, columns);
for col = 1 : columns
	thisColumn = binaryImage(:, col);
	t = find(thisColumn, 1, 'first');
	if ~isempty(t)
		topRows(col) = t;
		bottomRows(col) = find(thisColumn, 1, 'last');
	end
end
% Plot top rows and bottom rows.
subplot(2, 2, 3);
x = 1 : columns;
plot(x, topRows, 'b-', 'LineWidth', 2);
grid on;
hold on;
plot(x, bottomRows, 'r-', 'LineWidth', 2);
title('Top and Bottom Rows', 'FontSize', fontSize);
xlabel('Column', 'FontSize', fontSize);
ylabel('Row', 'FontSize', fontSize);
legend('Top Rows', 'Bottom Rows');

% Plot heights.
heights = bottomRows - topRows;
subplot(2, 2, 4);
x = 1 : columns;
plot(x, heights, 'b-', 'LineWidth', 2);
grid on;
title('Heights', 'FontSize', fontSize);
xlabel('Column', 'FontSize', fontSize);
ylabel('Height in Rows', 'FontSize', fontSize);

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