poster
2019-11-27, 06:21
<p>I am trying to segment this image using foreground segmentation:</p>
<p><a href="https://i.stack.imgur.com/eTe0h.png" rel="nofollow noreferrer">Image Before</a>
And i am trying to produce this:
<a href="https://i.stack.imgur.com/Zmn6C.png" rel="nofollow noreferrer">Complete segmented image</a></p>
<p>code:</p>
<pre><code>`clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clear; % Erase all existing variables. Or clearvars if you want.
%===============================================================================
% Get the name of the image the user wants to use.
baseFileName = 'in000439.png';
% Get the full filename, with path prepended.
folder = []; % Determine where demo folder is (works with all versions).
fullFileName = fullfile(folder, baseFileName);
%===============================================================================
% Read in a demo image.
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, []);
% Binarize the image by thresholding.
mask = grayImage < 100;
% Display the mask image.
% Get rid of blobs touching the border.
mask = imclearborder(mask);
% Extract just the largest blob.
mask = bwareafilt(mask, 1);
% Display the mask image.
subplot(2, 2, 4);
imshow(mask);
% Get rid of black islands (holes) in struts without filling large black areas.
subplot(2, 2, 4);
mask = ~bwareaopen(~mask, 1000);
imshow(mask);
drawnow;`
</code></pre>
<p>However my result of this is currently:
<a href="https://i.stack.imgur.com/4C50O.png" rel="nofollow noreferrer">Current result</a></p>
<p>Does anyone have any idea of what i can do to get my result. I have been struggling any help will do thanks.</p>
More answer... (https://stackoverflow.com/questions/59059642/matlab-foreground-segmentation-image-processing)
<p><a href="https://i.stack.imgur.com/eTe0h.png" rel="nofollow noreferrer">Image Before</a>
And i am trying to produce this:
<a href="https://i.stack.imgur.com/Zmn6C.png" rel="nofollow noreferrer">Complete segmented image</a></p>
<p>code:</p>
<pre><code>`clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clear; % Erase all existing variables. Or clearvars if you want.
%===============================================================================
% Get the name of the image the user wants to use.
baseFileName = 'in000439.png';
% Get the full filename, with path prepended.
folder = []; % Determine where demo folder is (works with all versions).
fullFileName = fullfile(folder, baseFileName);
%===============================================================================
% Read in a demo image.
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, []);
% Binarize the image by thresholding.
mask = grayImage < 100;
% Display the mask image.
% Get rid of blobs touching the border.
mask = imclearborder(mask);
% Extract just the largest blob.
mask = bwareafilt(mask, 1);
% Display the mask image.
subplot(2, 2, 4);
imshow(mask);
% Get rid of black islands (holes) in struts without filling large black areas.
subplot(2, 2, 4);
mask = ~bwareaopen(~mask, 1000);
imshow(mask);
drawnow;`
</code></pre>
<p>However my result of this is currently:
<a href="https://i.stack.imgur.com/4C50O.png" rel="nofollow noreferrer">Current result</a></p>
<p>Does anyone have any idea of what i can do to get my result. I have been struggling any help will do thanks.</p>
More answer... (https://stackoverflow.com/questions/59059642/matlab-foreground-segmentation-image-processing)