MATLAB: How to remove objects close to image border

classificationimage analysisimage processingimage segmentation

hello everyone, i have a problem related with image processing. btw, i have an image like this :

but i want to remove the object closest to the image border ( in this case, the closest one is on the right of the border)

do you know how to do that? thx before.

Best Answer

Sorry - I was sleeping, hence the delay on my part.

Simply crop the image with imcrop(), then call imclearborder(), then pad with padarray():

margin = 50; % Whatever
croppedImage = imcrop(binaryImage, [margin, margin, columns - 2 * margin, rows - 2 * margin]);
binaryImage = imclearborder(croppedImage);
binaryImage = logical(padarray(binaryImage, margin));

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MATLAB: How can i conver this code to do the same thing fo white background

Try this:

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 = 15;
% Read in a standard MATLAB color demo image.
folder = 'D:\Temporary stuff';
baseFileName = 'test.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 = 1.
[rows, columns, numberOfColorBands] = size(grayImage);
% Display the original image.
subplot(2, 2, 1);
imshow(grayImage);
axis on;
title('Original Gray Scale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Find the mask
mask = ~(grayImage == 255);
% Get rid of small junk.
mask = bwareaopen(mask, 2500);
% Display the image.


subplot(2, 2, 2);
imshow(mask);
axis on;
title('Mask Image', 'FontSize', fontSize);
% Call regionprops to get the Bounding Box.
measurements = regionprops(mask, 'BoundingBox');
% Crop out the masked part
thisBoundingBox = measurements(1).BoundingBox
croppedImage = imcrop(grayImage, thisBoundingBox);
% Display the image.
subplot(2, 2, 3);
imshow(croppedImage);
axis on;
title('Cropped Image', 'FontSize', fontSize);
% Make another version with the background black
smallMask = croppedImage >= 251;
croppedImage2 = croppedImage; % Initialize.
croppedImage2(smallMask) = 0;
% Display the image.
subplot(2, 2, 4);
imshow(croppedImage2);
axis on;
title('Cropped Image', 'FontSize', fontSize);
msgbox('Results would be better if you use a PNG image instead of a JPG image.');

MATLAB: Clear connected pixel touching a non square border

Sharif: It's not really that hard. Just follow my instructions and do it step by step like I said in my other answer. Here's some code I banged out in about 5 minutes. I took a screenshot of your image and saved it as octagon.PNG, then wrote this code:

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
imtool close all;  % Close all imtool figures.
workspace;  % Make sure the workspace panel is showing.
fontSize = 20;
% 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 gray scale demo image.
folder = 'C:\Users\Mark\Documents\Temporary';
baseFileName = 'octagon.png';
fullFileName = fullfile(folder, baseFileName);
% 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 = 1.
[rows columns numberOfColorBands] = size(grayImage);
% Display the original gray scale image.
subplot(3, 3, 1);
imshow(grayImage, []);
title('Original Grayscale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]); % Maximize figure.
set(gcf,'name','Demo by ImageAnalyst','numbertitle','off') 
% Let's compute and display the histogram.
[pixelCount grayLevels] = imhist(grayImage);
subplot(3, 3, 2); 
bar(pixelCount);
title('Histogram of original image', 'FontSize', fontSize);
xlim([0 grayLevels(end)]); % Scale x axis manually.
grid on;
% Get the octagon background
octagon = grayImage < 84;
% Shrink the octagon a bit by dilating it.
octagon = imdilate(octagon, true(5));
% Display the image.





subplot(3, 3, 3);
imshow(octagon, []);
title('Octagon Image', 'FontSize', fontSize);
% Get the particles
particles = grayImage > 155;
% Display the image.
subplot(3, 3, 4);
imshow(particles, []);
title('Particles Image', 'FontSize', fontSize);
% Combine the two.
binaryImage = octagon | particles;
% Display the image.
subplot(3, 3, 5);
imshow(binaryImage, []);
title('Combined Image', 'FontSize', fontSize);
% Remove white stuff touching the border
binaryImage2 = imclearborder(binaryImage);
% Display the image.
subplot(3, 3, 6);
imshow(binaryImage2, []);
title('Border cleared', 'FontSize', fontSize);
% Find the stuff that we removed.
borderPixels = logical(binaryImage - binaryImage2);
% Display the image.
subplot(3, 3, 7);
imshow(borderPixels, []);
title('Border Only', 'FontSize', fontSize);
% Now use borderPixels to zero out the original image
outputImage = grayImage; % Initialize.
% Zero out border pixels.
outputImage(borderPixels) = 0;
% Display the image.
subplot(3, 3, 8);
imshow(outputImage, []);
title('Final Output Image', 'FontSize', fontSize);
msgbox('Done with demo by ImageAnalyst!');

Best Answer

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