MATLAB: How to save 2 column vectors of multiple arrays existing in workspace to a .txt file or in excel file

arraydigital image processingworkspace

i got my all labeled arrays in workspace . now i want to store those arrays separately in some .txt file or in excel file .. like label 1's 2's ….max coordinates save in one file ..or it will save in multiple files having no idea about that . Help me

Best Answer

I don't think you want to save them in a text file or an Excel workbook, based on reading your other posting. I think they should be images also. Use something like this (untested)

[labeledImage numberOfBlobs] = bwlabel(binaryImage, 8);     % Label each blob so we can make measurements of it
% Get all the blob properties.
blobMeasurements = regionprops(labeledImage, 'PixelList');   
for r = 1 : numberOfBlobs
  % Extract blobs one at a time. 
  % Note how we use ismember() to do this.
  oneRegion = ismember(labeledImage, r); 
  % Save it to disk.
  baseFilename = sprintf('Region number %d.png', r);
  fullFileName = fullfile(folder, baseFilename);
  imwrite(oneRegion , fullFileName);
  thesePixels = blobMeasurements(r).PixelList;
  % Now use fopen(), fprintf(), and fclose() to write thesePixels to a disk file.
end

Related Solutions

MATLAB: I have a variable ‘a’ that contains x and y coordinate values as 365.5 and 213.5 .How can i read them to an array or matrix. ??

Your variable "a" is already a matrix, one of size 1 by 2. You can use a(1) and a(2) to access the parts.

MATLAB: Separate two type of object in the image

Do you mean like 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 = 22;
%--------------------------------------------------------------------------------------------------------

%    READ IN IMAGE
folder = pwd;
baseFileName = 'Q4_4.png';
% 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
grayImage = 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(grayImage)
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(grayImage);
	% 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.
end
% Display the image.
subplot(2, 3, 1);
imshow(grayImage);
axis('on', 'image');
title('Original Grayscale Image', 'FontSize', fontSize, 'Interpreter', 'None');
impixelinfo;
hFig = gcf;
hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.
drawnow;
%--------------------------------------------------------------------------------------------------------
% Binarize the image.
binaryImage = ~imbinarize(grayImage);
% Get rid of particles less than 200 in area.
binaryImage = bwareaopen(binaryImage, 200);
% Eliminate partial blobs - those touching the edge of the image.
binaryImage = imclearborder(binaryImage);
subplot(2, 3, 2);
imshow(binaryImage, []);
axis('on', 'image');
title('Mask Image', 'FontSize', fontSize, 'Interpreter', 'None');
impixelinfo;
drawnow;
% Find blobs
props = regionprops(binaryImage, 'Centroid', 'Area');
xy = vertcat(props.Centroid)
allAreas = [props.Area];
subplot(2, 3, 3);
histogram(allAreas, 10);
grid on;
title('Histogram of Blob Areas', 'FontSize', fontSize, 'Interpreter', 'None');
xlabel('Area', 'FontSize', fontSize, 'Interpreter', 'None');
ylabel('Count', 'FontSize', fontSize, 'Interpreter', 'None');
% Get blobs smaller than 2500
[labeledImage, numBlobs] = bwlabel(binaryImage);
smallIndexes = find(allAreas < 2500);
largeIndexes = find(allAreas >= 2500);
% Extract the small blobs with ismember()
smallBlobs = ismember(labeledImage, smallIndexes);
subplot(2, 3, 4);
imshow(smallBlobs);
title('Small Blobs', 'FontSize', fontSize, 'Interpreter', 'None');
% Extract the large blobs with ismember()
largeBlobs = ismember(labeledImage, largeIndexes);
subplot(2, 3, 5);
imshow(largeBlobs);
title('Large Blobs', 'FontSize', fontSize, 'Interpreter', 'None');

Best Answer

Related Solutions

MATLAB: I have a variable ‘a’ that contains x and y coordinate values as 365.5 and 213.5 .How can i read them to an array or matrix. ??

MATLAB: Separate two type of object in the image

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