MATLAB: Fill data and Make an image White

digital image processingimageimage analysisimage processingImage Processing Toolbox

Hello

I'm new in image Processing . I have a binary image. I want to fill the missing data and after filling the missing data I want to make the lower part white as shown in figure. Can anyone here help me? My images are attached.

Best Answer

This maybe a bad answer but it works: I tried to find the left and right cliffs in the image and connected them to obtain the required output.

img = rgb2gray(imread('hill1.jpg'));
img = img>50;
% figure, imshow(img,[])
filterImg = bwareaopen(img,25);
% figure, imshow(filterImg,[])
columnsWithAllZeros = all(img == 0);
% get left and right indexes
left_row = find(columnsWithAllZeros,1,'first')-1;
left_column = find(img(:,left-1),1,'first');
left_index = [left_row, left_column];
right_row = find(columnsWithAllZeros,1,'last')+1;
right_column = find(img(:,right+1),1,'first');
right_index = [right_row, right_column];
% draw a line into existing image to fill gap
hLine = imline(gca, [left_index; right_index]);
singleLineBinaryImage = hLine.createMask();
filterImg(singleLineBinaryImage) = 1;
% fill bottom

output_img = zeros(size(img));
for col  = 1: size(img,2)
    first_nnz_row = find(filterImg(:,col),1,'first');
    output_img(first_nnz_row:end,col) = 1;
end
figure, 
subplot(131), imshow(img);
subplot(132), imshow(filterImg);
subplot(133), imshow(output_img);

If you are ok with some distortion in shape, dilation works too.

dilate_img = imdilate(filterImg, strel('disk',15));
figure, imshow(dilate_img)
% fill bottom
output_img = zeros(size(img));
for col  = 1: size(img,2)
    first_nnz_row = find(dilate_img(:,col),1,'first');
    output_img(first_nnz_row:end,col) = 1;
end
figure, imshow(output_img)

Hope this helps

Related Solutions

MATLAB: How to fill the region inside a contour

Alright, 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 = 20;
%===============================================================================
% Read in good demo image.
folder = pwd;
baseFileName = 'contour.jpg';
% 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.
  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
rgbImage = imread(fullFileName);
% Get the dimensions of the image.  
% numberOfColorBands should be = 1.
[rows, columns, numberOfColorChannels] = size(rgbImage);
if numberOfColorChannels > 1
  % It's not really gray scale like we expected - it's color.
  % Convert it to gray scale by taking only the green channel.
  grayImage = rgbImage(:, :, 2); % Take green channel.
else
  grayImage = rgbImage; % It's already grayscale.
end
% Display the image.




subplot(2, 3, 1);
imshow(grayImage, []);
axis on;
title('Gray Scale Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
% 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') 
% Threshold the image
binaryImage = grayImage > 128;
% Display the image.
subplot(2, 3, 2);
imshow(binaryImage, []);
axis on;
title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Get rid of huge white surround
binaryImage = imclearborder(binaryImage);
% Display the image.
subplot(2, 3, 3);
imshow(binaryImage, []);
axis on;
title('Border-cleared Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Close the image
se = strel('disk', 2, 0);
binaryImage = imclose(binaryImage, se);
% Display the image.
subplot(2, 3, 4);
imshow(binaryImage, []);
axis on;
title('Closed Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Fill holes
binaryImage = imfill(binaryImage, 'holes');
% Display the image.
subplot(2, 3, 5);
imshow(binaryImage, []);
axis on;
title('Final Image', 'FontSize', fontSize, 'Interpreter', 'None');

MATLAB: I want to add dot in image

A tophat filter with width of about 37 seems good. Did you try that? If not, here is the 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.
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 20;
%===============================================================================
% Read in gray scale demo image.
folder = pwd; % Determine where demo folder is (works with all versions).
baseFileName = '91901.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
rgbImage = 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(rgbImage)
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(rgbImage);
  % 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 = rgbImage(:, :, 2); % Take green channel.
else
  grayImage = rgbImage; % It's already gray scale.
end
% Now it's gray scale with range of 0 to 255.
% Display the image.


subplot(2, 2, 1);
imshow(grayImage, []);
title('Original Image', 'FontSize', fontSize, 'Interpreter', 'None');
axis('on', 'image');
hp = impixelinfo();
%------------------------------------------------------------------------------
% 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')
drawnow;
% Show the histogram
subplot(2, 2, 2);
imhist(grayImage);
grid on;
title('Histogram of Original Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Filter and binarize the image, then find top rows.
% Try it out for different filter window widths.
% Note: A filter window width of 37 or larger seems good for this image.
for windowSize = 31 : 2 : 61
  % Do a top hat filter.
  edgeImage = imtophat(grayImage, true(windowSize));
  % Display the image.
  subplot(2, 2, 3);
  imshow(edgeImage, []);
  caption = sprintf('Top Hat Filter with size %d', windowSize);
  title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
  axis('on', 'image');
  hp = impixelinfo();
  
  % Binarize the image
  binaryImage = imbinarize(edgeImage);
  % You could call imfill() to fill it, but it's not really necessary.
  % Take just the largest blob, in case there are smaller ones.
  binaryImage = bwareafilt(binaryImage, 1);
  % Display the image.
  subplot(2, 2, 4);
  imshow(binaryImage, []);
  title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
  axis('on', 'image');
  hp = impixelinfo();
  
  % Now go across the columns finding the top row.
  topRows = zeros(1, columns);
  for col = 1 : columns
    row = find(binaryImage(:, col), 1, 'first');
    % IF it found something, record it.
    if ~isempty(row)
      topRows(col) = row;
    end
  end
  % Make missing values the same as the first non-zero column
  firstCol = find(topRows, 1, 'first');
  topRows(1 : firstCol) = topRows(firstCol);
  lastCol = find(topRows, 1, 'last');
  topRows(lastCol : end) = topRows(lastCol);
  % You could extend the bottom of the binary image to the bottom of the image, but it's not really necessary.
  
  % Plot it over the image
  subplot(2, 2, 1);
  imshow(grayImage, []);
  title('Original Image', 'FontSize', fontSize, 'Interpreter', 'None');
  hold on;
  plot(topRows, 'r-', 'LineWidth', 3);
  hold off;
  promptMessage = sprintf('Showing filter window size of %d\n\nDo you want to enlarge the window,\nor Accept this size?', windowSize);
  titleBarCaption = 'Continue?';
  buttonText = questdlg(promptMessage, titleBarCaption, 'Next', 'Accept and continue', 'Next');
  if contains(buttonText, 'Accept', 'IgnoreCase', true)
    break;
  end
end
% Display top rows in command window
topRows

Best Answer

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MATLAB: I want to add dot in image

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