MATLAB: Count white pixels on each column of a binary image

image analysisimage processing

I need to find the number of white pixels in each column and find the pixel position of column with minimum white pixels

Here is my image

I have done the following code,but it finds white pixels in each row.How can I modify this code to get the correct value

counts(size(topHalf,1):-1:1,:) = sum(topHalf == 1,2)

Best Answer

It's puzzling why you can't modify your code:

counts = sum(topHalf, 1);  %all you need to change is the ,2 into ,1 to sum along the rows instead of the columns.

Note that I've removed the == 1, since if the image is binary topHalf == 1 is exactly the same as topHalf.

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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.
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 18;
% Change the current folder to the folder of this m-file.
if(~isdeployed)
  cd(fileparts(which(mfilename)));
end
  
% 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 = fullfile(matlabroot, '\toolbox\images\imdemos');
button = menu('Use which demo image?', 'CameraMan', 'Moon', 'Eight', 'Coins', 'Pout');
if button == 1
  baseFileName = 'cameraman.tif';
elseif button == 2
  baseFileName = 'moon.tif';
elseif button == 3
  baseFileName = 'eight.tif';
elseif button == 4
  baseFileName = 'coins.png';
else
  baseFileName = 'pout.tif';
end
% Read in a standard MATLAB gray scale demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~exist(fullFileName, 'file')
  % File doesn't exist -- 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 in the search path folders.', 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(2, 2, 1);
imshow(grayImage, []);
title('Original Grayscale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Give a name to the title bar.
set(gcf,'name','Demo by ImageAnalyst','numbertitle','off') 
% Let's compute and display the histogram.
[pixelCount grayLevels] = imhist(grayImage);
subplot(2, 2, 2); 
bar(pixelCount);
grid on;
title('Histogram of original image', 'FontSize', fontSize);
xlim([0 grayLevels(end)]); % Scale x axis manually.
% Binarize the image
binaryImage = im2bw(grayImage, 0.5);
% Display the original gray scale image.
subplot(2, 2, 2);
imshow(binaryImage, []);
numBlackPixelsTotal = sum(~binaryImage(:));
percentTotal = 100 * numBlackPixelsTotal / (rows * columns);
caption = sprintf('Complete Binary Image has %d Black pixels = %.3f %%', ...
  numBlackPixelsTotal, percentTotal);
title(caption, 'FontSize', fontSize);
% Get the top half.
topHalf = binaryImage(1:floor(rows/2),:);
subplot(2, 2, 3);
imshow(topHalf, []);
% Count the Black pixels in the top half.
numBlackPixelsTop = sum(~topHalf(:));
percentTop = 100 * numBlackPixelsTop / numel(topHalf);
caption = sprintf('Top Half of Binary Image has %d Black pixels = %.3f %%', ...
  numBlackPixelsTop, percentTop);
title(caption, 'FontSize', fontSize);
% Get the bottom half.
bottomHalf = binaryImage(floor(rows/2)+1:end,:);
subplot(2, 2, 4);
imshow(bottomHalf, []);
% Count the Black pixels in the bottom half.
numBlackPixelsBottom = sum(~bottomHalf(:));
percentBottom = 100 * numBlackPixelsBottom / numel(bottomHalf);
caption = sprintf('Bottom Half of Binary Image has %d Black pixels = %.3f %%', ...
  numBlackPixelsBottom, percentBottom);
title(caption, 'FontSize', fontSize);

Best Answer

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