How to make image from raw data in MATLAB

Hello, I hope you are doing well. I have the following two dataset. I want to make a binary image

the data has shape of 1x1000. How can i do it in MATLAB. I have used the following code but it does not work. Can any body help me in that

[numImages, lenImage] = size(data1);
imSz = 1000; % assuming images are 1000x1000
imbg = false(imSz);                                  % background "color"
imfg = ~imbg(1,1);                                  % forground "color"
imSizeOut=[1000 1000];  
for imNum = 1:numImages        
    imData =data1(imNum,:);  % get pattern
    
    [~,Y] = meshgrid(1:imSz); % make a grid
    
    % black and white image
    BW = imbg;
    BW(Y==imData)=imfg;
   
    % resize (from 1000x1000)
    BW=imbinarize(imresize(uint8(BW),imSizeOut));
    % convert to uint8 (0 255)
    im = im2uint8(BW);
    SE=strel('disk',2);
    BW=imdilate(im,SE);
    im = flipud(BW);
end

[DGM]

What is data1? It looks like it's a numeric array consisting of concatenated row vectors, each of length 1000. It looks like you're trying to extract each row, expand it to 1000x1000 and do some work on it.

If that is correct, I think we need to then know what the class and range of data1 is. Some of the casting and comparison operations may be causing problems due to that.

If data1 is a cell array, then the addressing would be incorrect, but we'd still need to know what the cells contain.

[Stephen john]

@DGM Sorry i was forget to attached the data. as you can seen in the data the there are two rows. 1st row has the specific shape and 2nd row has other shape. when i run the above code of mine it does not work on it.

Answer 1

[Tejas]

Hello Stephen,

One method to create a binary image from a 1-D array is by using the array elements as indices for the image pixels.

Here are the steps to generate a binary image:

• Within the 'for' loop, retrieve the data for each shape and scale it so that the array elements can serve as indices for the pixels.

    imData = round(data(imNum, :) * imSz);
    BW = false(imSz);

• Iterate over the data for a shape and set the pixel values to 'true' for valid indices.

    for idx = 1:length(imData)
        if imData(idx) > 0 && imData(idx) <= imSz
            BW(imData(idx), idx) = true;
        end
    end 

• Convert the binary image elements to 'uint8' and apply dilation.

    im = im2uint8(BW);
    SE = strel('disk', 2);
    BW = imdilate(im, SE);
    im = flipud(BW);

Below is a screenshot showing how the image appears for the first shape: