Matlab code
I have matlab code (motion_fusion.m). This is the main file. All the codes are written but need to correct them.
I have some helper function as well. (they are .m files, you can find those in main file, motion_fusion.m )
I also have some data to load in main file.
I am looking for someone to correct the code and run the code.
function image_to_txt_int(R, T)
%R = imread(‘R.tif’);
%T = imread(‘T.tif’);
minT = min(T(:));
maxT = max(T(:));
T = double(uint32(double(T-minT)…
./double(maxT-minT).*255.0));
minR = min(R(:));
maxR = max(R(:));
R = double(uint32(double(R-minR)…
./double(maxR-minR).*255.0));
fidR = fopen(‘R.txt’, ‘wt’);
fidT = fopen(‘T.txt’, ‘wt’);
R = R(1:8:end, 1:8:end);
T = T(1:8:end, 1:8:end);
for i = 1:size(R,1)
for j = 1:size(R,2)
fprintf(fidR,’%d ‘,R(i,j));
fprintf(fidT,’%d ‘,T(i,j));
if j==size(R,2)
fprintf(fidR,’\n’);
fprintf(fidT,’\n’);
end
end
end
fclose(fidR);
fclose(fidT);
end
% 1. make sure the figure drawing of deformation vector field is right.
% 2. regenerate data.
function motion_fusion()
path(path,’Users/cirrus_mdn/Desktop/Desktop – Madans Macbook Pro/Research/Motion_Fusion10102009′);
%== Parameter set =================================================
m=513;
n=513;
nbin = 256;
idx_i = 25;
dataname = ‘R’;
% Multiresolution starting level
Multi_SL = 4; % level 1: knot space hx, hy == 2^0 == 1
ite_max_h = 10;
load T;
load R;
T = double(T);
R = double(R);
% Normalize T, R, making SSD of T, R = 2000
norm_factor = sqrt(2000/sum((R(:)-T(:)).^2));
T = T * norm_factor;
R = R * norm_factor;
% idx_i: deformation index for generating groundtruth
SNR_dB = 100;
interp_f = 1;
deform_case = 1; % Using deformation method case 1, 2
% Solver method: FCD: 0, LSFEM: 1
solver_method = 0;
bd_cond = 0; % 0: dirichlet, 1: neumann
% LSFEM grid size*2+1: 0, LSFEM full size*2+1: 1, 17×17: 2
solver_sz = 1;
regrid = 0;
% Fix Jacobian
fix_f1 = 0;
% Euler:0, Mid: 1, RK4: 2
RK_method = 0;
RK_steps = 1;
% f1, f2 dt, seperately: 1 simultaneously: 0
dt_f1f2 = 0;
groundT = 0;
tstep = 10^(0);
% load([filename(1:end-2),’.mat’]);
load(‘./results/case1_2d_R_interpf1_bdcond0_SNRdB100_regrid0_fixJ0_solver_method0_RKmethod0_RKsteps1_ite_400_h8-h4.mat’)
%======================================================================
% Motion Fusion
%======================================================================
ssd_old = sum((F(:) – R_resampled(:)).^2);
alpha = ones(size(F));
%alpha = double(F > 0.005);
tstep = 10^-1;
succeed = 1;
[Id_X, Id_Y] = ndgrid(1:m, 1:n);
Phi_X = DISP_X + Id_X;
Phi_Y = DISP_Y + Id_Y;
% T->R, R->F
while tstep > 10^(-5)
if succeed
% R_resampled
R_resampled = interp2c(Phi_X, Phi_Y, R, …
uint32([m,n]),uint32([m,n]));
end
[R_x2, R_x1] = gradient(R_resampled);
da = 2*(R_resampled-F).*(R_x1.*DISP_X + R_x2.*DISP_Y);
alpha_tmp = alpha + tstep*da;
DISP_X_tmp = DISP_X.*alpha_tmp;
DISP_Y_tmp = DISP_Y.*alpha_tmp;
Phi_X_tmp = DISP_X + Id_X;
Phi_Y_tmp = DISP_Y + Id_Y;
R_resampled_fusion_tmp …
= interp2c(Phi_X_tmp, Phi_Y_tmp, R, uint32([m,n]),uint32([m,n]));
ssd_tmp = sum((F(:)-R_resampled_fusion_tmp(:)).^2);
if ssd_tmp <= ssd_old Phi_Y = Phi_Y_tmp; Phi_X = Phi_X_tmp; DISP_X = DISP_X_tmp; DISP_Y = DISP_Y_tmp; alpha = alpha_tmp; ssd_old = ssd_tmp; tstep = tstep*1.1; R_resampled = R_resampled_fusion_tmp; fprintf('ssd:%5.4f tstep:%4.4e\n',... ssd_old, tstep); succeed = 1; else tstep = tstep*0.85; succeed = 0; end end show_figures(R_resampled, Phi_X, Phi_Y, Id_X, Id_Y); end function show_figures(R_resampled, Phi_X, Phi_Y, Id_X, Id_Y) close all; load truth_xy; figure(1); imshow((R_resampled),[]); hold on; deformplot2_griddata(Phi_X, Phi_Y, ... Id_X, Id_Y, 5, 1); deformplot2(true_x+Id_X, true_y+Id_Y, ... Id_X, Id_Y, 5, 1); hold off end
fftw_str:[1×17454 char array]
function [Ri] = interp2c(pos_x_total,pos_y_total,R)
%linear interpolation
%(i,j)—>(pos_x(i,j),pos_y(i,j))
[m,n] = size(R);
Ri=zeros(m,n);
for i=1:m
for j=1:n
x=pos_x_total(i,j);
y=pos_y_total(i,j);
if (x>= m)
x=m;
ceil_x=m;
floor_x=ceil_x-1;
else
if (x<=1)
x=1;
end
floor_x=floor(x);
ceil_x=floor_x+1;
end
if (y>= n)
y=n;
ceil_y=n;
floor_y=ceil_y-1;
else
if (y<=1)
y=1;
end
floor_y=floor(y);
ceil_y=floor_y+1;
end
Ri(i,j)=R(ceil_x,ceil_y)*(x-floor_x)*(y-floor_y)+R(floor_x,floor_y)*(ceil_x-x)*(ceil_y-y)+R(floor_x,ceil_y)*(ceil_x-x)*(y-floor_y)+R(ceil_x,floor_y)*(x-floor_x)*(ceil_y-y);
end
end
end
R:[65×65 single array]
T:[65×65 single array]
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function image_to_txt()
% I = double(imread(‘128_104_13_129x129_nowarp.bmp’));
% I = max(imresize(I,[65,65],’cubic’),0);
I = double(10*ones(65,65));
% I(16:20, 21:46) = 9;
% I(21:25, 21:46) = 8;
% I(26:30, 21:46) = 7;
% I(31:35, 21:46) = 6;
% I(36:40, 21:46) = 5;
I(18:22, 24:49) = 9;
I(23:27, 24:49) = 8;
I(28:32, 24:49) = 7;
I(33:37, 24:49) = 6;
I(38:42, 24:49) = 5;
fid = fopen(‘square_template.txt’, ‘wt’);
for i = 1:size(I,1)
for j = 1:size(I,2)
fprintf(fid,’%8.4f ‘,I(i,j));
if j==size(I,2)
fprintf(fid,’\n’);
end
end
end
fclose(fid);
end
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R:[129×129 single array]
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Fuse the registered displacement vector field Ud and Uc
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function exp_batch_motion_fusion(varargin)
path(path,’../’);
% path(path,’../_Common_Image_Data’);
%== Parameter set =================================================
% m=513;
% n=513;
m = 65;
n = 65;
dataname = ‘R’;
% Multiresolution starting level
Multi_SL = 1; % level 1: knot space hx, hy == 2^0 == 1
ite_max_h = 800;
% load T; % 513×513 hurricane image
% load R;
load R_h8; % 129×129 hurricane image
load T_h8;
T = double(T);
R = double(R);
% Normalize T, R, making SSD of T, R = 2000
norm_factor = sqrt(2000/sum((R(:)-T(:)).^2));
T = T * norm_factor;
R = R * norm_factor;
% for noise addition
SNR_dB = 100;
% multi-resolution, interp f to compute gradient or not
interp_f = 1;
deform_case = 1; % Using deformation method case 1, 2
% Solver method: FCD: 0, LSFEM: 1
solver_method = 0;
bd_cond = 0; % 0: dirichlet, 1: neumann
% LSFEM grid size*2+1: 0, LSFEM full size*2+1: 1, 17×17: 2
solver_sz = 1;
regrid = 0;
% Fix Jacobian
fix_f1 = 0;
% Euler:0, Mid: 1, RK4: 2
RK_method = 0;
RK_steps = 1;
% f1, f2 dt, seperately: 1 simultaneously: 0
dt_f1f2 = 0;
groundT = 0;
tstep = 10^(0);
maskT = ones(m,n);
truth_x = zeros(m,n);
truth_y = zeros(m,n);
th_low = 0.1;
th_high = 10;
filename = [‘results/case’,num2str(deform_case),’_2d_’,dataname,…
‘_interpf’,num2str(interp_f),’_bdcond’,num2str(bd_cond),’_SNRdB’,num2str(SNR_dB),…
‘_regrid’,num2str(regrid),’_fixJ’,num2str(fix_f1),…
‘_solver_method’,num2str(solver_method),…
‘_RKmethod’,num2str(RK_method),’_RKsteps’,num2str(RK_steps),’_h’];
%=========================================================
% Registration
%=========================================================
tic;
[T_deformed, Phi_Xd, Phi_Yd] = …
case1_preprocess(filename, T, R, solver_method, solver_sz, …
RK_method, RK_steps, Multi_SL, …
maskT, regrid, truth_x, truth_y, tstep, th_low, th_high, fix_f1, …
bd_cond, deform_case, dt_f1f2, ite_max_h, dataname);
total_time = toc
if Multi_SL > 2
filename_tmp = [filename,’4×4′];
save(filename_tmp, ‘total_time’,’-append’);
movefile([filename_tmp,’.mat’],…
[filename(1:end-2),’_ite_’, ite_max_h, ‘_h’,2^(Multi_SL-1),’-h4.mat’]);
try
delete([filename,’8×8.mat’]);
delete([filename,’16×16.mat’]);
delete([filename,’32×32.mat’]);
delete([filename,’64×64.mat’]);
catch
end
end
end
T:[129×129 single array]
fftw_str:[1×16725 char array]
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path(path,’../Nonrigid_Image_Reg_Deform_Method’);
% u,v: m/s, -> pixel:
load vel.mat;
u = double(u)/6*10^3;
v = double(v)/6*10^3;
true_y = padarray(u, [0,1], ‘post’);
true_x = padarray(v, [1,0], ‘post’);
true_x = padarray(true_x, [6,6]);
true_y = padarray(true_y, [6,6]);
save(‘truth_xy’, ‘true_x’, ‘true_y’);
load T;
load R;
T = double(T);
R = double(R);
% Normalize T, R, making SSD of T, R = 2000
norm_factor = sqrt(2000/sum((R(:)-T(:)).^2));
T = T * norm_factor;
R = R * norm_factor;
[Id_X, Id_Y] = ndgrid(1:513, 1:513);
T_resampled …
= interp2c(true_x+Id_X, true_y+Id_Y, T, uint32([513,513]),uint32([513,513]));
sum((T_resampled(:) – R(:)).^2)
R:[513×513 single array]
c1:[501×501 single array]
c0:[501×501 single array]
T:[513×513 single array]
u:[501×500 single array]
v:[500×501 single array]
true_y:[513×513 double array]
true_x:[513×513 double array]
m_inv:[1027×1027 double array]