MATLAB: How can i complete the missing data in a cell to complete the cell. i tried imfill command but not works for me. thanks for your time.

here is the image in which i want to complete the cells.Image Processing Toolbox

Best Answer

Your segmentation algorithm is no good. Use a better one. Maybe just need to change the threshold - can't tell because you did not attach the original image.

To merge nearby blobs into a single blob, use imclose().

To get the convex hull, use bwconvhull().

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MATLAB: What is the best way to determine the boundary of a porous object in an 2-D image

According to your definition of interior, here is code that calculates it. If you want the "reference" area to be the convex hull rather than the entire image, you can use bwconvhull().

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
imtool close all;  % Close all imtool figures.
clear;  % Erase all existing variables.
workspace;  % Make sure the workspace panel is showing.
format longg;
format compact;
fontSize = 20;
% http://imageshack.us/photo/my-images/836/36543017.png/
% Read in a standard MATLAB gray scale demo image.
folder = 'C:\Users\mark\Documents\Temporary';
baseFileName = '36543017.png';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~exist(fullFileName, 'file')
  errorMessage = sprintf('Error: %s does not exist in the %s folder.', baseFileName, folder);
  uiwait(warndlg(errorMessage));
  % 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 either.', 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);
if numberOfColorBands > 1
  grayImage = grayImage(:,:,1);
end
% 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.
% Threshold image.
binaryImage = grayImage < 65000;
% binaryImage = imfill(binaryImage, 'holes');
% Display the image.


subplot(2, 2, 2);
imshow(binaryImage, []);
title('Binary Image', 'FontSize', fontSize);
% Close gaps
binaryImage = imclose(binaryImage, true(3));
% Display the image.
subplot(2, 2, 3);
imshow(binaryImage, []);
title('After morphological closing', 'FontSize', fontSize);
% Get the interiors
interiors = imclearborder(~binaryImage);
% Get rid of blobs smaller than 60 pixels.
interiors = bwareaopen(interiors, 60);
% Display the image.
subplot(2, 2, 4);
imshow(interiors, []);
title('Interiors', 'FontSize', fontSize);
% Calculate the porosity
porosity = sum(interiors(:))/numel(interiors);
message = sprintf('The porosity (area fraction) of the interiors is %.4f', porosity);
uiwait(helpdlg(message));

MATLAB: How to detect the waist in a BW image

Why not use imdistline() or improfile() to manually specify them. Unless you have hundreds of images and need to do this automatically, that's probably the best way.

Otherwise, first call bwareafilt() to extract the largest blob. Then try to iterate where you call imdilate() followed by bwlabel() to count the number of blobs and quit when you get to two. Then binarize again and call bwmorph() with the "thicken" option to expand the blobs out so that they touch, but will not join/combine them. Then label again and call graycomatrix() to count how many pixels of blob #1 occur next to blob #2.

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Related Solutions

MATLAB: What is the best way to determine the boundary of a porous object in an 2-D image

MATLAB: How to detect the waist in a BW image

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