MATLAB: How to bridge some nearest unconnected image

connect objectimage processingImage Processing Toolbox

Hi all. I am focus on the filament recognition. Obviously, the initial work is the object detection. As the filament is long and thin, the detection result is discontinuous. A filament may have some small fragments. So I want to bridge these fragment into a large one.

Any suggestion to this issue are appreciated.

Best Answer

You could first try morphological closing with imclose(). Or try edge linking ( http://www.csse.uwa.edu.au/~pk/Research/MatlabFns/#edgelink). Where did you upload your image to?

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MATLAB: How to display the input image, after when the threshold values exceeds certain limit

It's just 3 lines. Just mask the original image:

binaryImage = grayImage > 150;
maskedImage = zeros(size(grayImage)); % Initialize.

maskedImage(binaryImage) = grayImage(binaryImage);

See the full demo below:

% Demo by ImageAnalyst
clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
clear;  % Erase all existing variables.
workspace;  % Make sure the workspace panel is showing.
fontSize = 14;
% Read in a standard MATLAB gray scale demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
baseFileName = 'coins.png';
% 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.
yl = ylim();
line([150 150], [0 yl(2)], 'Color', 'r');
% Threshold at 150
binaryImage = grayImage > 150;
% Display the original gray scale image.
subplot(2, 2, 3);
imshow(binaryImage, []);
title('Binary Image', 'FontSize', fontSize);
% Mask the image
maskedImage = zeros(size(grayImage)); % Initialize.
% Assign values from grayImage that are > 150.
maskedImage(binaryImage) = grayImage(binaryImage);
% Display the original gray scale image.
subplot(2, 2, 4);
imshow(maskedImage, []);
title('Masked Image', 'FontSize', fontSize);

MATLAB: I have two index values, I want to draw a line

A binary image has thousands of "zero/false" pixels and thousands of "one/true" pixels, and thousands or millions of linear indices that identify their location. To draw a line in the overlay, you can use plot() or line() but you'll have to provide a starting (x1,y1) coordinate, and an ending (x2,y2) coordinate like this

plot([x1 x2], [y1 y2], 'ro-', 'LineWidth', 3);
line([x1 x2], [y1 y2]);

Obviously you can tailor the options to your liking. If this doesn't help you then you need to better explain your needs, because it's not clear to us. For example, you may want to "burn" a line into the image rather than draw it in the overlay (in which case I have a demo for that, along with dozens of other demos).

Best Answer

Related Solutions

MATLAB: How to display the input image, after when the threshold values exceeds certain limit

MATLAB: I have two index values, I want to draw a line

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