How to save each row as image in MATLAB

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Hello everyone, I hope you are doing well.
I have the following dataset which consists three class and dataset shape 3000x1000
first 1000x1000 belongs to class 1. next 1000x1000 belongs to class 2 and next 1000x1000 belongs to class 3 to make total of 3000x1000
i want so save each row as image form to train Resnet50 How can i do that?

Accepted Answer

AndresVar
AndresVar on 9 Mar 2022
Edited: AndresVar on 10 Mar 2022
Edit: use rescale the entire dataset instead of each row.
Edit: note in the example I put padding on the data to shape it into a square, but you could just reshape rectangular and then resize to square.
clear;
load("Dataset1000x1000.mat")
[labelNums,~,labelIdx] = unique(labels1000,'rows');
labelStrs = strcat('Label_',strrep(cellstr(num2str(labelNums)),' ',''))
%% make the folders
for ii = 1:numel(labelStrs)
labelStr = labelStrs{ii};
if ~isfolder(labelStr)
mkdir(labelStr);
end
end
%% create RGB from data
% for example as in https://www.mathworks.com/help/wavelet/ug/classify-time-series-using-wavelet-analysis-and-deep-learning.html
[numImages, lenImage] = size(Dataset1000);
nextSquareLen = (floor(sqrt(lenImage))+1)^2;
squarePadLen = nextSquareLen-lenImage;
im_size = [224 224];
DataSet1000Scaled = rescale(Dataset1000);
for ii = 1:100:numImages
im_orig = DataSet1000Scaled(ii,:);
im_orig_pad = reshape(... % reshape to a square image
padarray(... % pad to a square length
im_orig,[0,squarePadLen],'post'),sqrt(nextSquareLen),[]);
im_rgb = imresize(... % resize for compatibility with NN
ind2rgb(... % make into RGB with a colormap
im2uint8(...
im_orig_pad),jet(255)),im_size);
folderName = labelStrs{labelIdx(ii)};
im_FullFilename = fullfile(folderName,sprintf('im_%06g.jpg',ii));
imwrite(im_rgb,im_FullFilename);
end
Edit: OR save patterns inferred from the data. Change loop conditions to get all images. Change SE size (instead of 16) to something smaller to your liking.
%% create grayscale shapes that resemble the data
[numImages, lenImage] = size(Dataset1000);
imSz = 1000; % assuming images are 1000x1000
imbg = true(imSz); % background "color"
imfg = ~imbg(1,1); % forground "color"
imSizeOut=[224 224]; % resize to 224 by 224
for imNum = 1:200:numImages
imData = Dataset1000(imNum,:); % get pattern
[~,Y] = meshgrid(1:imSz); % make a grid
% black and white image
BW = imbg;
BW(Y==imData)=imfg;
% make pattern thicker by eroding (helps during resizing)
SE=strel("disk",16); % adjust element size, 16 might be too big for cluttered patters
BW=imerode(BW,SE);
% resize (from 1000x1000 to 224x224)
BW=imbinarize(imresize(double(BW),imSizeOut));
% convert to uint8 (0 255)
im = im2uint8(BW);
% flip
im = flipud(im);
folderName = labelStrs{labelIdx(imNum)};
im_FullFilename = fullfile(folderName,sprintf('im_%06g.png',imNum));
imwrite(im,im_FullFilename);
end
  24 Comments
Med Future
Med Future on 21 Mar 2022
Edited: Med Future on 21 Mar 2022
@Image Analyst when i run this code above But when i saved my image the grid is shown as above but i want it to be in Y axis should be start from 0 -1000
clear;
load("Dataset1000x1000.mat")
imNum = 2600; % which image (row?)
imSz = 1000;
imbg = true(imSz); % background "color"
imfg = ~imbg(1,1); % forground "color"
imSizeOut=[1000 1000]; % resize to 224 by 224
imFullFilenameOut = sprintf('im%06g.png',imNum); % name the file im######.tif
imData = Dataset1000(imNum,:); % get pattern
[X,Y] = meshgrid(1:imSz);
% black and white image
BW = imbg;
BW(Y==imData)=imfg;
% make pattern thicker by eroding
SE=strel("disk",16);
BW=imerode(BW,SE);
% resize
BW=imbinarize(imresize(double(BW),imSizeOut));
% convert to uint8 (0 255)
im = im2uint8(BW);
imwrite(im,imFullFilenameOut);

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