傅里叶梅林图像拼接MATLAB

% RegisterFourierMellin % This code is the result of my messing around with Matlab investigating % various image registration techniques. I came across the excellent % (although perhaps a little messy and buggy) fm_gui_v2 from Adam Wilmer % here: % http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=3000&objectType=file % Because my needs are essentially the algorithm itself in a neat and tidy % format to enable an easier conversion to C++, I've extracted what I think % is the essence of the Fourier Mellin method into this file. Obviously % I haven't included a GUI. In order to test it, you need to set the first % two statements to load in 2 image files of the same size, in 8 bit grayscale. % I took lena and then used Gimp to rotate/shift/crop at various angles. % It isn't sub-pixel accurate, although I'm aware of methods to achieve % this by extracting the peaks around the peak of the phase correlation and % finding the maxima (least squares perhaps). % The methods towards the end of the program are cribbed directly from % Adam's version. I'm new to Matlab (been playing with it for less than % a fortnight), so I wasn't able to get my head around his log polar transform % or the final "blending" of the two images together. % I'd like to thank Adam for publishing his version. Without it I'd never % have known I had to take the log polar transform of the magnitude of the % FFT, rather than the log polar transform of the original image! function RegnisterFourierMellin() % The procedure is as follows (note this does not compute scale) % (1) Read in I1 - the image to register against % (2) Read in I2 - the image to register % (3) Take the FFT of I1, shifting it to center on zero frequency % (4) Take the FFT of I2, shifting it to center on zero frequency % (5) Convolve the magnitude of (3) with a high pass filter % (6) Convolve the magnitude of (4) with a high pass filter % (7) Transform (5) into log polar space % (8) Transform (6) into log polar space % (9) Take the FFT of (7) % (10) Take the FFT of (8) % (11) Compute phase correlation of (9) and (10) % (12) Find the location (x,y) in (11) of the peak of the phase correlation % (13) Compute angle (360 / Image Y Size) * y from (12) % (14) Rotate the image from (2) by - angle from (13) % (15) Rotate the image from (2) by - angle + 180 from (13) % (16) Take the FFT of (14) % (17) Take the FFT of (15) % (18) Compute phase correlation of (3) and (16) % (19) Compute phase correlation of (3) and (17) % (20) Find the location (x,y) in (18) of the peak of the phase correlation % (21) Find the location (x,y) in (19) of the peak of the phase correlation % (22) If phase peak in (20) > phase peak in (21), (y,x) from (20) is the translation % (23a) Else (y,x) from (21) is the translation and also: % (23b) If the angle from (13) < 180, add 180 to it, else subtract 180 from it. % (24) Tada! % Requires (ouch): % 6 x FFT % 4 x FFT Shift % 3 x IFFT % 2 x Log Polar % 3 x Phase Correlations % 2 x High Pass Filter % 2 x Image Rotation % --------------------------------------------------------------------- % Load first image (I1) I1 = imread('lena.bmp'); % Load second image (I2) I2 = imread('lena_cropped_rotated_shifted.bmp'); % --------------------------------------------------------------------- % Convert both to FFT, centering on zero frequency component SizeX = size(I1, 1); SizeY = size(I1, 2); FA = fftshift(fft2(I1)); FB = fftshift(fft2(I2)); % Output (FA, FB) % --------------------------------------------------------------------- % Convolve the magnitude of the FFT with a high pass filter) IA = hipass_filter(size(I1, 1),size(I1,2)).*abs(FA); IB = hipass_filter(size(I2, 1),size(I2,2)).*abs(FB); % Transform the high passed FFT phase to Log Polar space L1 = transformImage(IA, SizeX, SizeY, SizeX, SizeY, 'nearest', size(IA) / 2, 'valid'); L2 = transformImage(IB, SizeX, SizeY, SizeX, SizeY, 'nearest', size(IB) / 2, 'valid'); % Convert log polar magnitude spectrum to FFT THETA_F1 = fft2(L1); THETA_F2 = fft2(L2); % Compute cross power spectrum of F1 and F2 a1 = angle(THETA_F1); a2 = angle(THETA_F2); THETA_CROSS = exp(i * (a1 - a2)); THETA_PHASE = real(ifft2(THETA_CROSS)); % Find the peak of the phase correlation THETA_SORTED = sort(THETA_PHASE(:)); % TODO speed-up, we surely don't need to sort SI = length(THETA_SORTED):-1:(length(THETA_SORTED)); [THETA_X, THETA_Y] = find(THETA_PHASE == THETA_SORTED(SI)); % Compute angle of rotation DPP = 360 / size(THETA_PHASE, 2); Theta = DPP * (THETA_Y - 1); % Output (Theta) % --------------------------------------------------------------------- % Rotate image back by theta and theta + 180 R1 = imrotate(I2, -Theta, 'nearest', 'crop'); R2 = imrotate(I2,-(Theta + 180), 'nearest', 'crop'); % Output (R1, R2) % --------------------------------------------------------------------- % Take FFT of R1 R1_F2 = fftshift(fft2(R1)); % Compute cross power spectrum of R1_F2 and F2 a1 = angle(FA); a2 = angle(R1_F2); R1_F2_CROSS = exp(i * (a1 - a2)); R1_F2_PHASE = real(ifft2(R1_F2_CROSS)); % Output (R1_F2_PHASE) % --------------------------------------------------------------------- % Take FFT of R2 R2_F2 = fftshift(fft2(R2)); % Compute cross power spectrum of R2_F2 and F2 a1 = angle(FA); a2 = angle(R2_F2); R2_F2_CROSS = exp(i * (a1 - a2)); R2_F2_PHASE = real(ifft2(R2_F2_CROSS)); % Output (R2_F2_PHASE) % --------------------------------------------------------------------- % Decide whether to flip 180 or -180 depending on which was the closest MAX_R1_F2 = max(max(R1_F2_PHASE)); MAX_R2_F2 = max(max(R2_F2_PHASE)); if (MAX_R1_F2 > MAX_R2_F2) [y, x] = find(R1_F2_PHASE == max(max(R1_F2_PHASE))); R = R1; else [y, x] = find(R2_F2_PHASE == max(max(R2_F2_PHASE))); if (Theta < 180) Theta = Theta + 180; else Theta = Theta - 180; end R = R2; end % Output (R, x, y) % --------------------------------------------------------------------- % Ensure correct translation by taking from correct edge Tx = x - 1; Ty = y - 1; if (x > (size(I1, 1) / 2)) Tx = Tx - size(I1, 1); end if (y > (size(I1, 2) / 2)) Ty = Ty - size(I1, 2); end % Output (Sx, Sy) % --------------------------------------------------------------------- % FOLLOWING CODE TAKEN DIRECTLY FROM fm_gui_v2 % Combine original and registered images input2_rectified = R; move_ht = Ty; move_wd = Tx; total_height = max(size(I1,1),(abs(move_ht)+size(input2_rectified,1))); total_width = max(size(I1,2),(abs(move_wd)+size(input2_recti