I have a small 3D image (500x1000x100) and would like to downsample to 1% of the pixels. I would then like to map this back to a binary (true/false, 1/0) of the same original dimensions, where the relative positions of the downsampled pixels are 1 and everything else is 0.
So maybe like:
small_im = imresize(im,0.01);
binary_tensor =
Or this, but it only works if dims are div by 100 and I don't think it works in general:
small_im=im(1:100:end,1:100:end,1:100:end);
mask=false(size(im));
mask(1:100:end,1:100:end,1:100:end)=true;
Think of a 100x100 image. downsample by 99% to 10x10. Take every pixel in that downsample and map it back to the original dimensions and let them be TRUE in a binary tensor of the same dimensions.
I'm trying to recreate a microscope "observing" these pixels in the original sample space, if you were wondering what this is for.
