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Label/color each region in the image
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missC
am 19 Apr. 2014
Kommentiert: Image Analyst
am 6 Mai 2014
Hi , How can I label each region in the attached image? As you can see, it has three (3) connected regions/faces. It is better to be labeled with different color.
Thanks in advance
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/161312/image.jpeg)
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Image Analyst
am 19 Apr. 2014
Try this:
![](https://www.mathworks.com/matlabcentral/images/broken_image.png)
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 = 22;
% Read in a demo image.
folder = 'C:\Users\missc\Documents\Temporary';
baseFileName = 'a.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
grayImage = imread(fullFileName);
% Get the dimensions of the image. numberOfColorBands should be = 3.
[rows, columns, numberOfColorBands] = size(grayImage);
% Display the original color image.
subplot(2, 2, 1);
imshow(grayImage);
title('Original Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Threshold so we can get a binary image to use as a mask.
binaryImage = grayImage < 100;
% Display the image.
subplot(2, 2, 2);
imshow(binaryImage);
axis on;
title('Binary Image', 'FontSize', fontSize);
% Get rid of white touching the border.
binaryImage = imclearborder(binaryImage, 4);
% Display the image.
subplot(2, 2, 3);
imshow(binaryImage);
axis on;
title('Faces Image', 'FontSize', fontSize);
[labeledImage, numberOfRegions] = bwlabel(binaryImage, 4);
coloredLabels = label2rgb (labeledImage, 'hsv', 'k', 'shuffle'); % pseudo random color labels
% Display the image.
subplot(2, 2, 4);
imshow(coloredLabels);
axis on;
title('Colored Label Image', 'FontSize', fontSize);
7 Kommentare
Image Analyst
am 6 Mai 2014
boundaries = bwboundaries(binaryImage);
Then you can use the kink finding code I referred you to if you want to divide each boundary up into 4 straight segments. Or you can run along fitting a line and getting the histogram of the slopes and looking for 4 slopes that are found a lot (meaning when you're fitting pixels along one side only and not spanning across a corner).
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