Image Alignment Code in MATLAB
111 views (last 30 days)
I've been trying everything I can find, but I can't seem to come up with a code that aligns my images very well. I have been using the pressure taps on the image to align the images manually, so using those again would be great. I've gotten to within a few pixels, but I need it to be with at least pixel accuracy, ideally subpixel accuracy. Here's an example of one of the codes that seems to do semi well.
img1 = 255-mean(imread('01_wing.png'),3);
img2 = 255-mean(imread('02_wing.png'),3);
c = normxcorr2(img2,img1);
[y x] = find(c==max(c(:)));
y = y-size(img2,1);
x = x-size(img2,2);
TFORM = maketform('affine',[1 0 x;0 1 y; 0 0 1]');
NEWimg2 = imtransform(img2,TFORM,'xdata',[1 size(img1,2)],'ydata',[1 size(img1,1)]);
I've attached the wing images in a zip file. The image below is an example of the pressure taps not aligning correctly.
What should I do differently?
Matt J on 15 Oct 2013
Edited: Matt J on 15 Oct 2013
If you can extract the coordinates of the pressure taps in each image e.g., using regionprops(...,'WeightedCentroid'), then you could try using
to find the transformation that aligns them.
Even better would be if you already knew the 2D coordinates of the pressure taps with high accuracy in some prior template image. Then you could register both '01_wing.png' and '02_wing.png' to that.
More Answers (2)
Eric on 15 Oct 2013
Here's what works well for me:
1. Get dftregistration.m from www.mathworks.com/matlabcentral/fileexchange/18401-efficient-subpixel-image-registration-by-cross-correlation
2. Register the gradients of the images, not the images themselves.
Here's my code:
im1Orig = double(imread('01_wing.png'));
im2Orig = double(imread('02_wing.png'));
im1 = imgradient(im1Orig);
im2 = imgradient(im2Orig);
%Get registration values
[output, Greg] = dftregistration(fft2(im1),fft2(im2),50);
imOut = TranslateImage(im2, output(3), output(4),'method','Fourier');
I get a row shift of -0.36 pixels and a column shift of +3.06 pixels. My function TranslateImage is basically:
img_out = TranslateImage(img_in, rowshift, colshift)
%%Create frequency space sampling vectors
[numrows, numcols] = size(img_in);
[n,m] = meshgrid(-fix(numcols/2):fix((numcols-1)/2),-fix(numrows/2):fix((numrows-1)/2));
m = m/numrows;
n = n/numcols;
%%Perform translation in the Fourier domain
img_fft = fftshift(fft2(ifftshift(double(img_in))));%Cast the input image to a double
shiftOtf = exp(-1i*2*pi*m*rowshift) .* exp(-1i*2*pi*n*colshift);
img_fft_trans = img_fft .* shiftOtf;
img_out = real(fftshift(ifft2(ifftshift(img_fft_trans))));
For monomodal image registration with pure translation, there are many algorithms that work better than imregister().