0001 function par = simulated_display_parameters(par)
0002
0003
0004
0005
0006
0007 if par.warping_routine
0008 disp('Use Matlab routine imtransfrom.m for warping')
0009 else
0010 disp('Use loops on pixels for warping')
0011 end
0012
0013
0014 disp(['Number of samples for testing CovM : ', num2str(par.N_samples)])
0015
0016
0017
0018 disp(['type_data = ',num2str(par.type_data),', image file name for simulation : ', par.img_filename])
0019
0020
0021
0022 if par.img_filename(1:3) == 'MIT'
0023 disp(['row and column : [', ...
0024 num2str(par.row),',',num2str(par.col),']'])
0025 end
0026
0027
0028 disp(['Appr. size of common window : ', num2str(2*par.Nfr+1)])
0029
0030
0031 disp(['noise variance v(g)=s + t * g [gr] : [', ...
0032 num2str(par.stg(1)),',',num2str(par.stg(2)),']'])
0033 disp(['noise variance v(h)=s + t * h [gr] : [', ...
0034 num2str(par.sth(1)),',',num2str(par.sth(2)),']'])
0035
0036
0037
0038
0039 disp( 'True geometric transformation affinity z = A y : ')
0040 disp(par.A_t);
0041
0042
0043 disp(['True intensity transformation h = b7*y + b8 [gr] : [',...
0044 num2str(par.R_true(1)),',',num2str(par.R_true(2)*255),']'])
0045
0046
0047 disp(['Smoothing kernel [pixels] : ', num2str(par.sigma_smooth)])
0048
0049
0050 disp(['Minimum size of overlap : ', num2str(par.Nf_MIN),'x', num2str(par.Nf_MIN)])
0051
0052
0053 disp(['Maximum number of iterations : ', num2str(par.max_iter)])
0054
0055
0056 disp(['Significance level : ', num2str(100*par.S),'%'])
0057
0058 end
0059