MATLAB Answers

How to divide the pores from the image

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Yuan Jieyan
Yuan Jieyan on 31 May 2020
Answered: Image Analyst on 31 May 2020
there are pores and crack in the image. How can I separate them in matlab?

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Answers (1)

Image Analyst
Image Analyst on 31 May 2020
Try this:
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 = 'pores.png';
% 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
% Display the image.
subplot(2, 2, 1);
imshow(grayImage, []);
title('Original Grayscale Image', 'FontSize', fontSize, 'Interpreter', 'None');
impixelinfo;
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 huge white frame surrounding the image the user posted.
% binaryImage = imclearborder(binaryImage);
% % Get rid of the small dots in the star by doing a hole fill.
% binaryImage = imfill(binaryImage, 'holes');
subplot(2, 2, 2);
imshow(binaryImage, []);
impixelinfo;
title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
impixelinfo;
%--------------------------------------------------------------------------------------------------------
% SEPARATION INTO PORES AND CRACKS
se = strel('disk', 1, 0);
pores = imopen(binaryImage, se);
subplot(2, 2, 3);
imshow(pores, []);
impixelinfo;
title('Pores Image', 'FontSize', fontSize, 'Interpreter', 'None');
impixelinfo;
% Cracks is everything except the pores.
cracks = binaryImage & ~pores;
subplot(2, 2, 4);
imshow(cracks, []);
impixelinfo;
title('Cracks Image', 'FontSize', fontSize, 'Interpreter', 'None');
impixelinfo;
%--------------------------------------------------------------------------------------------------------
% MEASUREMENT OF AREAS
poresAreaFraction = sum(pores(:)) / numel(pores)
cracksAreaFraction = sum(cracks(:)) / numel(pores)

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