I Can not convert image to binary image !

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Han
Han on 15 Feb 2018
Commented: Image Analyst on 15 Feb 2018
Hi
I'm trying to convert this image to binary image
This is the code:
OriginalImage = imread('t1.jpg');
subplot(2,2,1);
imshow(OriginalImage);
g = rgb2gray(OriginalImage);
subplot(2,2,2);
imshow(g);
BW = im2bw(g);
subplot(2,2,3);
imshow(BW);
The background should be black but here is the result !!
Could you please help me !

Answers (1)

Image Analyst
Image Analyst on 15 Feb 2018
Use imbinarize() instead.
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 = 16;
%===============================================================================
% Read in a demo image.
folder = pwd;
baseFileName = 't9.jpg';
% 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
originalImage = imread(fullFileName);
% Display the image.
subplot(2, 2, 1);
imshow(originalImage, []);
title('Original Image', 'FontSize', fontSize, 'Interpreter', 'None');
% 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(originalImage);
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(originalImage);
% 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.
else
grayImage = rgbImage; % Not really an RGB image.
end
% Display the image.
subplot(2, 2, 2);
imshow(grayImage);
title('Grayscale Image', 'FontSize', fontSize, 'Interpreter', 'None');
%------------------------------------------------------------------------------
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0.04, 1, 0.96]);
% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')
% Binarize the image.
binaryImage = imbinarize(grayImage);
% Display the image.
subplot(2, 2, 3);
imshow(binaryImage, []);
title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
  2 Comments
Han
Han on 15 Feb 2018
Thank you ..
I used imbinarize() but when I try this image is not working
Image Analyst
Image Analyst on 15 Feb 2018
It does work in that it doesn't throw an error. Exactly what would you like for the output in this case of 3 different intensity ranges? imbinarize() divides the image into two ranges, not three. Perhaps you'd like multithresh() instead of imbinarize, or simply do it yourself:
binaryImage = grayImage ~= backgroundGrayLevel;

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