I want to augment the MNIST handwritten digits dataset.
In order to do that I want to create for each image an Elastic Deformations image respectively.
I read on this paper, section 2 'Expanding Data Sets through Elastic Distortions' that they accomplished elastic distortions
Before:
After:
I tried:
http://www.mathworks.com/help/images/ref/imwarp.html http://www.mathworks.com/help/images/examples/creating-a-gallery-of-transformed-images.html
without any success.
How can i do that in MATLAB?
How can I create Elastic Distortion transformation on an image in MATLAB?
I'm not sure I completely followed the "normalization" method of the displacement field, but I think this can get you quite close
img = imread('http://deeplearning.net/tutorial/_images/mnist_2.png'); %// get a digit
Compute a random displacement field dx~U(-1,1)
, dy~U(-1,1)
:
dx = -1+2*rand(size(img));
dy = -1+2*rand(size(img));
Smoothing and normalizing the field:
sig=4;
alpha=60;
H=fspecial('gauss',[7 7], sig);
fdx=imfilter(dx,H);
fdy=imfilter(dy,H);
n=sum((fdx(:).^2+fdy(:).^2)); %// norm (?) not quite sure about this "norm"
fdx=alpha*fdx./n;
fdy=alpha*fdy./n;
The resulting displacement
[y x]=ndgrid(1:size(img,1),1:size(img,2));
figure;
imagesc(img); colormap gray; axis image; axis tight;
hold on;
quiver(x,y,fdx,fdy,0,'r');
The final stage - applying the displacement to the actual pixels using griddata
interpolation:
new = griddata(x-fdx,y-fdy,double(img),x,y);
new(isnan(new))=0;
The resulting digit:
figure;
subplot(121); imagesc(img); axis image;
subplot(122); imagesc(new); axis image;
colormap gray
BTW, I'm not sure the proposed method (rand
+imfilter
) is the most straight-forward way of producing a random smooth deformation, you might consider sampling coefficients for 2-nd or 3-rd degree polynomial deformation,
dx = a*x.^2 + b*x.*y + c*y.^2 + d*x + e*y + f;
dy = g*x.^2 + h*x.*y + k*y.^2 + l*x + m*y + n;
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