1 | %'civ_matlab': Matlab version of the PIV programs CivX |
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2 | % --- call the sub-functions: |
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3 | % civ: PIV function itself |
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4 | % fix: removes false vectors after detection by various criteria |
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5 | % patch: make interpolation-smoothing |
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6 | %------------------------------------------------------------------------ |
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7 | % function [Data,errormsg,result_conv]= civ_uvmat(Param,ncfile) |
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8 | % |
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9 | %OUTPUT |
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10 | % Data=structure containing the PIV results and information on the processing parameters |
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11 | % errormsg=error message char string, default='' |
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12 | % resul_conv: image inter-correlation function for the last grid point (used for tests) |
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13 | % |
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14 | %INPUT: |
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15 | % Param: input images and processing parameters |
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16 | % ncfile: name of a netcdf file to be created for the result (extension .nc) |
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17 | % |
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18 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA |
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19 | % Copyright 2011, LEGI / CNRS-UJF-INPG, joel.sommeria@legi.grenoble-inp.fr. |
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20 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA |
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21 | % This is part of the toolbox UVMAT. |
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22 | % |
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23 | % UVMAT is free software; you can redistribute it and/or modify |
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24 | % it under the terms of the GNU General Public License as published by |
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25 | % the Free Software Foundation; either version 2 of the License, or |
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26 | % (at your option) any later version. |
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27 | % |
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28 | % UVMAT is distributed in the hope that it will be useful, |
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29 | % but WITHOUT ANY WARRANTY; without even the implied warranty of |
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30 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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31 | % GNU General Public License (open UVMAT/COPYING.txt) for more details. |
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32 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA |
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33 | |
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34 | function [Data,errormsg,result_conv]= civ_matlab(Param,ncfile) |
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35 | errormsg=''; |
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36 | Data.ListGlobalAttribute={'Conventions','Program','CivStage'}; |
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37 | Data.Conventions='uvmat/civdata';% states the conventions used for the description of field variables and attributes |
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38 | Data.Program='civ_matlab'; |
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39 | Data.CivStage=0;%default |
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40 | ListVarCiv1={'Civ1_X','Civ1_Y','Civ1_U','Civ1_V','Civ1_C','Civ1_F'}; %variables to read |
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41 | ListVarFix1={'Civ1_X','Civ1_Y','Civ1_U','Civ1_V','Civ1_C','Civ1_F','Civ1_FF'}; |
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42 | mask=''; |
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43 | maskname='';%default |
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44 | check_civx=0;%default |
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45 | check_civ1=0;%default |
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46 | check_patch1=0;%default |
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47 | |
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48 | if ischar(Param) |
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49 | Param=xml2struct(Param); |
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50 | end |
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51 | |
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52 | %% Civ1 |
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53 | if isfield (Param,'Civ1') |
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54 | check_civ1=1;% test for further use of civ1 results |
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55 | % caluclate velocity data (y and v in indices, reverse to y component) |
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56 | [xtable ytable utable vtable ctable F result_conv errormsg] = civ (Param.Civ1); |
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57 | |
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58 | % % to try the reverse_pair method, uncomment below |
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59 | % [xtable1 ytable1 utable1 vtable1 ctable1 F1 result_conv1 errormsg1] = civ (Param.Civ1); |
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60 | % Param.Civ1.reverse_pair=1; |
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61 | % [xtable2 ytable2 utable2 vtable2 ctable2 F2 result_conv2 errormsg2] = civ (Param.Civ1); |
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62 | % xtable=[xtable1; xtable2]; |
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63 | % ytable=[ytable1; ytable2]; |
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64 | % utable=[utable1; -utable2]; |
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65 | % vtable=[vtable1; -vtable2]; |
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66 | % ctable=[ctable1; ctable2]; |
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67 | % F=[F1; F2]; |
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68 | % result_conv=[result_conv1; result_conv2]; |
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69 | % errormsg=[errormsg1; errormsg2]; |
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70 | |
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71 | |
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72 | if ~isempty(errormsg) |
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73 | return |
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74 | end |
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75 | list_param=(fieldnames(Param.Civ1))'; |
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76 | Civ1_param=list_param;%default |
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77 | for ilist=1:length(list_param) |
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78 | Civ1_param{ilist}=['Civ1_' list_param{ilist}]; |
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79 | % eval(['Data.Civ1_' list_param{ilist} '=Param.Civ1.' list_param{ilist} ';']) |
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80 | Data.(['Civ1_' list_param{ilist}])=Param.Civ1.(list_param{ilist}); |
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81 | end |
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82 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Civ1_param];% {'Civ1_Time','Civ1_Dt'}]; |
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83 | % if exist('ncfile','var')% TEST for use interactively with mouse_motion (no file created) |
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84 | Data.ListVarName={'Civ1_X','Civ1_Y','Civ1_U','Civ1_V','Civ1_C','Civ1_F'};% cell array containing the names of the fields to record |
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85 | Data.VarDimName={'NbVec1','NbVec1','NbVec1','NbVec1','NbVec1','NbVec1'}; |
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86 | Data.VarAttribute{1}.Role='coord_x'; |
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87 | Data.VarAttribute{2}.Role='coord_y'; |
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88 | Data.VarAttribute{3}.Role='vector_x'; |
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89 | Data.VarAttribute{4}.Role='vector_y'; |
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90 | Data.VarAttribute{5}.Role='warnflag'; |
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91 | Data.Civ1_X=reshape(xtable,[],1); |
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92 | Data.Civ1_Y=reshape(Param.Civ1.ImageHeight-ytable+1,[],1); |
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93 | Data.Civ1_U=reshape(utable,[],1); |
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94 | Data.Civ1_V=reshape(-vtable,[],1); |
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95 | Data.Civ1_C=reshape(ctable,[],1); |
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96 | Data.Civ1_F=reshape(F,[],1); |
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97 | Data.CivStage=1; |
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98 | |
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99 | else |
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100 | if exist('ncfile','var') |
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101 | CivFile=ncfile; |
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102 | elseif isfield(Param.Patch1,'CivFile') |
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103 | CivFile=Param.Patch1.CivFile; |
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104 | end |
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105 | Data=nc2struct(CivFile,'ListGlobalAttribute','absolut_time_T0') %look for the constant 'absolut_time_T0' to detect old civx data format |
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106 | if isfield(Data,'Txt') |
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107 | errormsg=Data.Txt; |
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108 | return |
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109 | end |
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110 | if ~isempty(Data.absolut_time_T0')%read civx file |
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111 | check_civx=1;% test for old civx data format |
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112 | [Data,vardetect,ichoice]=nc2struct(CivFile);%read the variables in the netcdf file |
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113 | else |
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114 | if isfield(Param,'Fix1') |
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115 | Data=nc2struct(CivFile,ListVarCiv1);%read civ1 data in the existing netcdf file |
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116 | else |
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117 | Data=nc2struct(CivFile,ListVarFix1);%read civ1 and fix1 data in the existing netcdf file |
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118 | end |
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119 | end |
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120 | end |
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121 | |
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122 | %% Fix1 |
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123 | if isfield (Param,'Fix1') |
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124 | ListFixParam=fieldnames(Param.Fix1); |
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125 | for ilist=1:length(ListFixParam) |
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126 | ParamName=ListFixParam{ilist}; |
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127 | ListName=['Fix1_' ParamName]; |
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128 | eval(['Data.ListGlobalAttribute=[Data.ListGlobalAttribute ''' ParamName '''];']) |
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129 | eval(['Data.' ListName '=Param.Fix1.' ParamName ';']) |
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130 | end |
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131 | if check_civx |
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132 | if ~isfield(Data,'fix') |
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133 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute 'fix']; |
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134 | Data.fix=1; |
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135 | Data.ListVarName=[Data.ListVarName {'vec_FixFlag'}]; |
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136 | Data.VarDimName=[Data.VarDimName {'nb_vectors'}]; |
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137 | end |
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138 | Data.vec_FixFlag=fix(Param.Fix1,Data.vec_F,Data.vec_C,Data.vec_U,Data.vec_V,Data.vec_X,Data.vec_Y); |
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139 | else |
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140 | Data.ListVarName=[Data.ListVarName {'Civ1_FF'}]; |
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141 | Data.VarDimName=[Data.VarDimName {'NbVec1'}]; |
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142 | nbvar=length(Data.ListVarName); |
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143 | Data.VarAttribute{nbvar}.Role='errorflag'; |
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144 | Data.Civ1_FF=fix(Param.Fix1,Data.Civ1_F,Data.Civ1_C,Data.Civ1_U,Data.Civ1_V); |
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145 | Data.CivStage=2; |
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146 | end |
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147 | end |
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148 | %% Patch1 |
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149 | if isfield (Param,'Patch1') |
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150 | if check_civx |
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151 | errormsg='Civ Matlab input needed for patch'; |
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152 | return |
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153 | end |
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154 | check_patch1=1; |
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155 | Param.Patch1 |
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156 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute {'Patch1_Rho','Patch1_Threshold','Patch1_SubDomain'}]; |
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157 | Data.Patch1_Rho=Param.Patch1.SmoothingParam; |
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158 | Data.Patch1_Threshold=Param.Patch1.MaxDiff; |
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159 | Data.Patch1_SubDomain=Param.Patch1.SubdomainSize; |
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160 | Data.ListVarName=[Data.ListVarName {'Civ1_U_Diff','Civ1_V_Diff','Civ1_X_SubRange','Civ1_Y_SubRange','Civ1_NbSites','Civ1_X_tps','Civ1_Y_tps','Civ1_U_tps','Civ1_V_tps'}]; |
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161 | Data.VarDimName=[Data.VarDimName {'NbVec1','NbVec1',{'NbSubDomain1','Two'},{'NbSubDomain1','Two'},'NbSubDomain1',... |
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162 | {'NbVec1Sub','NbSubDomain1'},{'NbVec1Sub','NbSubDomain1'},{'Nbtps1','NbSubDomain1'},{'Nbtps1','NbSubDomain1'}}]; |
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163 | nbvar=length(Data.ListVarName); |
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164 | Data.VarAttribute{nbvar-1}.Role='vector_x'; |
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165 | Data.VarAttribute{nbvar}.Role='vector_y'; |
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166 | Data.Civ1_U_Diff=zeros(size(Data.Civ1_X)); |
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167 | Data.Civ1_V_Diff=zeros(size(Data.Civ1_X)); |
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168 | if isfield(Data,'Civ1_FF') |
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169 | ind_good=find(Data.Civ1_FF==0); |
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170 | else |
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171 | |
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172 | ind_good=1:numel(Data.Civ1_X); |
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173 | end |
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174 | [Data.Civ1_X_SubRange,Data.Civ1_Y_SubRange,Data.Civ1_NbSites,FFres,Ures, Vres,Data.Civ1_X_tps,Data.Civ1_Y_tps,Data.Civ1_U_tps,Data.Civ1_V_tps]=... |
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175 | patch(Data.Civ1_X(ind_good)',Data.Civ1_Y(ind_good)',Data.Civ1_U(ind_good)',Data.Civ1_V(ind_good)',Data.Patch1_Rho,Data.Patch1_Threshold,Data.Patch1_SubDomain); |
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176 | Data.Civ1_U_Diff(ind_good)=Data.Civ1_U(ind_good)-Ures; |
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177 | Data.Civ1_V_Diff(ind_good)=Data.Civ1_V(ind_good)-Vres; |
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178 | Data.Civ1_FF(ind_good)=FFres; |
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179 | Data.CivStage=3; |
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180 | end |
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181 | |
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182 | %% Civ2 |
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183 | if isfield (Param,'Civ2') |
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184 | par_civ2=Param.Civ2; |
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185 | if ~check_civ1 || ~strcmp(par_civ1.filename_ima_a,par_civ2.filename_ima_a) |
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186 | par_civ2.ImageA=imread(par_civ2.filename_ima_a);%read first image if not already done for civ1 |
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187 | end |
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188 | if ~check_civ1|| ~strcmp(par_civ1.filename_ima_b,par_civ2.filename_ima_b) |
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189 | par_civ2.ImageB=imread(par_civ2.filename_ima_b);%read second image if not already done for civ1 |
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190 | end |
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191 | % stepx=str2double(par_civ2.dx); |
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192 | % stepy=str2double(par_civ2.dy); |
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193 | ibx2=ceil(str2double(par_civ2.ibx)/2); |
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194 | iby2=ceil(str2double(par_civ2.iby)/2); |
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195 | isx2=ibx2+2; |
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196 | isy2=iby2+2; |
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197 | |
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198 | |
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199 | % Data.Civ1_U_Diff=zeros(size(Data.Civ1_X)); |
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200 | % Data.Civ1_V_Diff=zeros(size(Data.Civ1_X)); |
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201 | % if isfield(Data,'Civ1_FF') |
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202 | % ind_good=find(Data.Civ1_FF==0); |
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203 | % else |
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204 | % ind_good=1:numel(Data.Civ1_X); |
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205 | % end |
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206 | % [Data.Civ1_X_SubRange,Data.Civ1_Y_SubRange,Data.Civ1_NbSites,FFres,Ures, Vres,Data.Civ1_X_tps,Data.Civ1_Y_tps,Data.Civ1_U_tps,Data.Civ1_V_tps]=... |
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207 | % patch(Data.Civ1_X(ind_good)',Data.Civ1_Y(ind_good)',Data.Civ1_U(ind_good)',Data.Civ1_V(ind_good)',Data.Patch1_Rho,Data.Patch1_Threshold,Data.Patch1_SubDomain); |
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208 | % end |
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209 | % shiftx=str2num(par_civ1.shiftx); |
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210 | % shifty=str2num(par_civ1.shifty); |
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211 | % TO GET shift from par_civ2.filename_nc1 |
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212 | % shiftx=velocity interpolated at position |
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213 | miniy=max(1+isy2+shifty,1+iby2); |
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214 | minix=max(1+isx2-shiftx,1+ibx2); |
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215 | maxiy=min(size(par_civ2.ImageA,1)-isy2+shifty,size(par_civ2.ImageA,1)-iby2); |
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216 | maxix=min(size(par_civ2.ImageA,2)-isx2-shiftx,size(par_civ2.ImageA,2)-ibx2); |
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217 | [GridX,GridY]=meshgrid(minix:par_civ2.Dx:maxix,miniy:par_civ2.Dy:maxiy); |
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218 | PointCoord(:,1)=reshape(GridX,[],1); |
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219 | PointCoord(:,2)=reshape(GridY,[],1); |
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220 | |
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221 | Guess = tps_eval(PointCoord,[Data.Civ1_X_tps Data.Civ1_Y_tps]) |
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222 | Shiftx=Guess*Data.Civ1_U_tps; |
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223 | Shifty=Guess*Data.Civ1_V_tps; |
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224 | |
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225 | if ~isempty(par_civ2.maskname)&& ~strcmp(maskname,par_civ2.maskname)% mask exist, not already read in civ1 |
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226 | mask=imread(par_civ2.maskname); |
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227 | end |
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228 | % caluclate velocity data (y and v in indices, reverse to y component) |
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229 | [xtable ytable utable vtable ctable F] = civ (par_civ2.ImageA,par_civ1.ImageB,ibx2,iby2,isx2,isy2,shiftx,-shifty,PointCoord,str2num(par_civ1.rho),mask); |
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230 | list_param=(fieldnames(par_civ1))'; |
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231 | list_remove={'pxcmx','pxcmy','npx','npy','gridflag','maskflag','term_a','term_b','T0'}; |
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232 | index=zeros(size(list_param)); |
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233 | for ilist=1:length(list_remove) |
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234 | index=strcmp(list_remove{ilist},list_param); |
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235 | if ~isempty(find(index,1)) |
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236 | list_param(index)=[]; |
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237 | end |
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238 | end |
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239 | for ilist=1:length(list_param) |
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240 | Civ1_param{ilist}=['Civ1_' list_param{ilist}]; |
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241 | eval(['Data.Civ1_' list_param{ilist} '=Param.Civ1.' list_param{ilist} ';']) |
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242 | end |
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243 | if isfield(Data,'Civ1_gridname') && strcmp(Data.Civ1_gridname(1:6),'noFile') |
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244 | Data.Civ1_gridname=''; |
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245 | end |
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246 | if isfield(Data,'Civ1_maskname') && strcmp(Data.Civ1_maskname(1:6),'noFile') |
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247 | Data.Civ1_maskname=''; |
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248 | end |
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249 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Civ1_param {'Civ1_Time','Civ1_Dt'}]; |
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250 | Data.Civ1_Time=str2double(par_civ1.T0); |
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251 | Data.Civ1_Dt=str2double(par_civ1.Dt); |
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252 | Data.ListVarName={'Civ1_X','Civ1_Y','Civ1_U','Civ1_V','Civ1_C','Civ1_F'};% cell array containing the names of the fields to record |
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253 | Data.VarDimName={'NbVec1','NbVec1','NbVec1','NbVec1','NbVec1','NbVec1'}; |
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254 | Data.VarAttribute{1}.Role='coord_x'; |
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255 | Data.VarAttribute{2}.Role='coord_y'; |
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256 | Data.VarAttribute{3}.Role='vector_x'; |
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257 | Data.VarAttribute{4}.Role='vector_y'; |
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258 | Data.VarAttribute{5}.Role='warnflag'; |
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259 | Data.Civ1_X=reshape(xtable,[],1); |
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260 | Data.Civ1_Y=reshape(size(par_civ2.ImageA,1)-ytable+1,[],1); |
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261 | Data.Civ1_U=reshape(utable,[],1); |
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262 | Data.Civ1_V=reshape(-vtable,[],1); |
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263 | Data.Civ1_C=reshape(ctable,[],1); |
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264 | Data.Civ1_F=reshape(F,[],1); |
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265 | Data.CivStage=Data.CivStage+1; |
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266 | end |
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267 | |
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268 | %% Fix2 |
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269 | if isfield (Param,'Fix2') |
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270 | ListFixParam=fieldnames(Param.Fix2); |
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271 | for ilist=1:length(ListFixParam) |
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272 | ParamName=ListFixParam{ilist}; |
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273 | ListName=['Fix1_' ParamName]; |
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274 | eval(['Data.ListGlobalAttribute=[Data.ListGlobalAttribute ''' ParamName '''];']) |
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275 | eval(['Data.' ListName '=Param.Fix2.' ParamName ';']) |
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276 | end |
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277 | if check_civx |
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278 | if ~isfield(Data,'fix2') |
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279 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute 'fix2']; |
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280 | Data.fix2=1; |
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281 | Data.ListVarName=[Data.ListVarName {'vec2_FixFlag'}]; |
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282 | Data.VarDimName=[Data.VarDimName {'nb_vectors2'}]; |
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283 | end |
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284 | Data.vec_FixFlag=fix(Param.Fix2,Data.vec2_F,Data.vec2_C,Data.vec2_U,Data.vec2_V,Data.vec2_X,Data.vec2_Y); |
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285 | else |
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286 | Data.ListVarName=[Data.ListVarName {'Civ2_FF'}]; |
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287 | Data.VarDimName=[Data.VarDimName {'nbvec2'}]; |
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288 | nbvar=length(Data.ListVarName); |
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289 | Data.VarAttribute{nbvar}.Role='errorflag'; |
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290 | Data.Civ2_FF=fix(Param.Fix2,Data.Civ2_F,Data.Civ2_C,Data.Civ2_U,Data.Civ2_V); |
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291 | Data.CivStage=5; |
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292 | end |
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293 | |
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294 | end |
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295 | |
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296 | %% Patch2 |
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297 | if isfield (Param,'Patch2') |
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298 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute {'Patch2_Rho','Patch2_Threshold','Patch2_SubDomain'}]; |
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299 | Data.Patch2_Rho=str2double(Param.Patch2.Rho); |
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300 | Data.Patch2_Threshold=str2double(Param.Patch2.Threshold); |
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301 | Data.Patch2_SubDomain=str2double(Param.Patch2.SubDomain); |
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302 | Data.ListVarName=[Data.ListVarName {'Civ2_U_Diff','Civ2_V_Diff','Civ2_X_SubRange','Civ2_Y_SubRange','Civ2_NbSites','Civ2_X_tps','Civ2_Y_tps','Civ2_U_tps','Civ2_V_tps'}]; |
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303 | Data.VarDimName=[Data.VarDimName {'NbVec2','NbVec2',{'NbSubDomain2','Two'},{'NbSubDomain2','Two'},'NbSubDomain2',... |
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304 | {'NbVec2Sub','NbSubDomain2'},{'NbVec2Sub','NbSubDomain2'},{'Nbtps2','NbSubDomain2'},{'Nbtps2','NbSubDomain2'}}]; |
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305 | nbvar=length(Data.ListVarName); |
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306 | Data.VarAttribute{nbvar-1}.Role='vector_x'; |
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307 | Data.VarAttribute{nbvar}.Role='vector_y'; |
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308 | Data.Civ2_U_Diff=zeros(size(Data.Civ2_X)); |
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309 | Data.Civ2_V_Diff=zeros(size(Data.Civ2_X)); |
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310 | if isfield(Data,'Civ2_FF') |
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311 | ind_good=find(Data.Civ2_FF==0); |
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312 | else |
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313 | ind_good=1:numel(Data.Civ2_X); |
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314 | end |
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315 | [Data.Civ2_X_SubRange,Data.Civ2_Y_SubRange,Data.Civ2_NbSites,FFres,Ures, Vres,Data.Civ2_X_tps,Data.Civ2_Y_tps,Data.Civ2_U_tps,Data.Civ2_V_tps]=... |
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316 | patch(Data.Civ2_X(ind_good)',Data.Civ2_Y(ind_good)',Data.Civ2_U(ind_good)',Data.Civ2_V(ind_good)',Data.Patch2_Rho,Data.Patch2_Threshold,Data.Patch2_SubDomain); |
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317 | Data.Civ2_U_Diff(ind_good)=Data.Civ2_U(ind_good)-Ures; |
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318 | Data.Civ2_V_Diff(ind_good)=Data.Civ2_V(ind_good)-Vres; |
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319 | Data.Civ2_FF(ind_good)=FFres; |
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320 | Data.CivStage=6; |
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321 | end |
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322 | |
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323 | %% write result in a netcdf file if requested |
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324 | if exist('ncfile','var') |
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325 | errormsg=struct2nc(ncfile,Data); |
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326 | end |
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327 | |
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328 | % 'civ': function piv.m adapted from PIVlab http://pivlab.blogspot.com/ |
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329 | %-------------------------------------------------------------------------- |
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330 | % function [xtable ytable utable vtable typevector] = civ (image1,image2,ibx,iby step, subpixfinder, mask, roi) |
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331 | % |
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332 | % OUTPUT: |
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333 | % xtable: set of x coordinates |
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334 | % ytable: set of y coordiantes |
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335 | % utable: set of u displacements (along x) |
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336 | % vtable: set of v displacements (along y) |
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337 | % ctable: max image correlation for each vector |
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338 | % typevector: set of flags, =1 for good, =0 for NaN vectors |
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339 | % |
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340 | %INPUT: |
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341 | % image1:first image (matrix) |
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342 | % image2: second image (matrix) |
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343 | % ibx2,iby2: half size of the correlation box along x and y, in px (size=(2*iby2+1,2*ibx2+1) |
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344 | % isx2,isy2: half size of the search box along x and y, in px (size=(2*isy2+1,2*isx2+1) |
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345 | % shiftx, shifty: shift of the search box (in pixel index, yshift reversed) |
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346 | % step: mesh of the measurement points (in px) |
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347 | % subpixfinder=1 or 2 controls the curve fitting of the image correlation |
---|
348 | % mask: =[] for no mask |
---|
349 | % roi: 4 element vector defining a region of interest: x position, y position, width, height, (in image indices), for the whole image, roi=[]; |
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350 | function [xtable ytable utable vtable ctable F result_conv errormsg] = civ (par_civ) |
---|
351 | %this funtion performs the DCC PIV analysis. Recent window-deformation |
---|
352 | %methods perform better and will maybe be implemented in the future. |
---|
353 | |
---|
354 | %% prepare grid |
---|
355 | ibx2=ceil(par_civ.Bx/2); |
---|
356 | iby2=ceil(par_civ.By/2); |
---|
357 | isx2=ceil(par_civ.Searchx/2); |
---|
358 | isy2=ceil(par_civ.Searchy/2); |
---|
359 | shiftx=par_civ.Shiftx; |
---|
360 | shifty=-par_civ.Shifty;% sign minus because image j index increases when y decreases |
---|
361 | if isfield(par_civ,'Grid') |
---|
362 | if ischar(par_civ.Grid) |
---|
363 | par_civ.Grid; |
---|
364 | par_civ.Grid=dlmread(par_civ.Grid); |
---|
365 | par_civ.Grid(1,:)=[];%the first line must be removed (heading in the grid file) |
---|
366 | end |
---|
367 | else% automatic measurement grid |
---|
368 | ibx2=ceil(par_civ.Bx/2); |
---|
369 | iby2=ceil(par_civ.By/2); |
---|
370 | isx2=ceil(par_civ.Searchx/2); |
---|
371 | isy2=ceil(par_civ.Searchy/2); |
---|
372 | shiftx=par_civ.Shiftx; |
---|
373 | shifty=-par_civ.Shifty; |
---|
374 | miniy=max(1+isy2+shifty,1+iby2); |
---|
375 | minix=max(1+isx2-shiftx,1+ibx2); |
---|
376 | maxiy=min(par_civ.ImageHeight-isy2+shifty,par_civ.ImageHeight-iby2); |
---|
377 | maxix=min(par_civ.ImageWidth-isx2-shiftx,par_civ.ImageWidth-ibx2); |
---|
378 | [GridX,GridY]=meshgrid(minix:par_civ.Dx:maxix,miniy:par_civ.Dy:maxiy); |
---|
379 | par_civ.Grid(:,1)=reshape(GridX,[],1); |
---|
380 | par_civ.Grid(:,2)=reshape(GridY,[],1); |
---|
381 | end |
---|
382 | |
---|
383 | %% Default output |
---|
384 | nbvec=size(par_civ.Grid,1); |
---|
385 | xtable=par_civ.Grid(:,1); |
---|
386 | ytable=par_civ.Grid(:,2); |
---|
387 | utable=zeros(nbvec,1); |
---|
388 | vtable=zeros(nbvec,1); |
---|
389 | ctable=zeros(nbvec,1); |
---|
390 | F=zeros(nbvec,1); |
---|
391 | result_conv=[]; |
---|
392 | errormsg=''; |
---|
393 | |
---|
394 | %% prepare mask |
---|
395 | if isfield(par_civ,'Mask') && ~isempty(par_civ.Mask) |
---|
396 | if strcmp(par_civ.Mask,'all') |
---|
397 | return % get the grid only, no civ calculation |
---|
398 | elseif ischar(par_civ.Mask) |
---|
399 | par_civ.Mask=imread(par_civ.Mask); |
---|
400 | end |
---|
401 | end |
---|
402 | check_MinIma=isfield(par_civ,'MinIma');% test for image luminosity threshold |
---|
403 | check_MaxIma=isfield(par_civ,'MaxIma') && ~isempty(par_civ.MaxIma); |
---|
404 | |
---|
405 | %% prepare images |
---|
406 | if isfield(par_civ,'reverse_pair') |
---|
407 | if par_civ.reverse_pair |
---|
408 | if ischar(par_civ.ImageB) |
---|
409 | temp=par_civ.ImageA; |
---|
410 | par_civ.ImageA=imread(par_civ.ImageB); |
---|
411 | end |
---|
412 | if ischar(temp) |
---|
413 | par_civ.ImageB=imread(temp); |
---|
414 | end |
---|
415 | end |
---|
416 | else |
---|
417 | if ischar(par_civ.ImageA) |
---|
418 | par_civ.ImageA=imread(par_civ.ImageA); |
---|
419 | end |
---|
420 | if ischar(par_civ.ImageB) |
---|
421 | par_civ.ImageB=imread(par_civ.ImageB); |
---|
422 | end |
---|
423 | end |
---|
424 | |
---|
425 | [npy_ima npx_ima]=size(par_civ.ImageA); |
---|
426 | if ~isequal(size(par_civ.ImageB),[npy_ima npx_ima]) |
---|
427 | errormsg='image pair with unequal size'; |
---|
428 | return |
---|
429 | end |
---|
430 | par_civ.ImageA=double(par_civ.ImageA); |
---|
431 | par_civ.ImageB=double(par_civ.ImageB); |
---|
432 | |
---|
433 | |
---|
434 | %% Apply mask |
---|
435 | % Convention for mask |
---|
436 | % mask >200 : velocity calculated |
---|
437 | % 200 >=mask>150;velocity not calculated, interpolation allowed (bad spots) |
---|
438 | % 150>=mask >100: velocity not calculated, nor interpolated |
---|
439 | % 100>=mask> 20: velocity not calculated, impermeable (no flux through mask boundaries) TO IMPLEMENT |
---|
440 | % 20>=mask: velocity=0 |
---|
441 | checkmask=0; |
---|
442 | if isfield(par_civ,'Mask') && ~isempty(par_civ.Mask) |
---|
443 | checkmask=1; |
---|
444 | if ~isequal(size(par_civ.Mask),[npy_ima npx_ima]) |
---|
445 | errormsg='mask must be an image with the same size as the images'; |
---|
446 | return |
---|
447 | end |
---|
448 | % check_noflux=(par_civ.Mask<100) ;%TODO: to implement |
---|
449 | check_undefined=(par_civ.Mask<200 & par_civ.Mask>=100 ); |
---|
450 | par_civ.ImageA(check_undefined)=min(min(par_civ.ImageA));% put image A to zero (i.e. the min image value) in the undefined area |
---|
451 | par_civ.ImageB(check_undefined)=min(min(par_civ.ImageB));% put image B to zero (i.e. the min image value) in the undefined area |
---|
452 | end |
---|
453 | |
---|
454 | %% compute image correlations: MAINLOOP on velocity vectors |
---|
455 | corrmax=0; |
---|
456 | sum_square=1;% default |
---|
457 | % vector=[0 0];%default |
---|
458 | for ivec=1:nbvec |
---|
459 | iref=par_civ.Grid(ivec,1);% xindex on the image A for the middle of the correlation box |
---|
460 | jref=par_civ.Grid(ivec,2);% yindex on the image B for the middle of the correlation box |
---|
461 | % xtable(ivec)=iref; |
---|
462 | % ytable(ivec)=jref;%default |
---|
463 | if ~(checkmask && par_civ.Mask(jref,iref)<=20) %velocity not set to zero by the black mask |
---|
464 | if jref-iby2<1 || jref+iby2>par_civ.ImageHeight|| iref-ibx2<1 || iref+ibx2>par_civ.ImageWidth% we are outside the image |
---|
465 | F(ivec)=3; |
---|
466 | else |
---|
467 | image1_crop=par_civ.ImageA(jref-iby2:jref+iby2,iref-ibx2:iref+ibx2);%extract a subimage (correlation box) from image A |
---|
468 | image2_crop=par_civ.ImageB(jref+shifty-isy2:jref+shifty+isy2,iref+shiftx-isx2:iref+shiftx+isx2);%extract a larger subimage (search box) from image B |
---|
469 | image1_mean=mean(mean(image1_crop)); |
---|
470 | image2_mean=mean(mean(image2_crop)); |
---|
471 | %threshold on image minimum |
---|
472 | if check_MinIma && (image1_mean < par_civ.MinIma || image2_mean < par_civ.MinIma) |
---|
473 | F(ivec)=3; |
---|
474 | end |
---|
475 | %threshold on image maximum |
---|
476 | if check_MaxIma && (image1_mean > par_civ.MaxIma || image2_mean > par_civ.MaxIma) |
---|
477 | F(ivec)=3; |
---|
478 | end |
---|
479 | end |
---|
480 | |
---|
481 | if F(ivec)~=3 |
---|
482 | image1_crop=image1_crop-image1_mean;%substract the mean |
---|
483 | image2_crop=image2_crop-image2_mean; |
---|
484 | sum_square=sum(sum(image1_crop.*image1_crop)); |
---|
485 | %reference: Oliver Pust, PIV: Direct Cross-Correlation |
---|
486 | result_conv= conv2(image2_crop,flipdim(flipdim(image1_crop,2),1),'valid'); |
---|
487 | corrmax= max(max(result_conv)); |
---|
488 | result_conv=(result_conv/corrmax)*255; %normalize, peak=always 255 |
---|
489 | %Find the correlation max, at 255 |
---|
490 | [y,x] = find(result_conv==255,1); |
---|
491 | if ~isempty(y) && ~isempty(x) |
---|
492 | try |
---|
493 | if par_civ.Rho==1 |
---|
494 | [vector,F(ivec)] = SUBPIXGAUSS (result_conv,x,y); |
---|
495 | elseif par_civ.Rho==2 |
---|
496 | [vector,F(ivec)] = SUBPIX2DGAUSS (result_conv,x,y); |
---|
497 | end |
---|
498 | utable(ivec)=vector(1)+shiftx; |
---|
499 | vtable(ivec)=vector(2)+shifty; |
---|
500 | xtable(ivec)=iref+utable(ivec)/2;% convec flow (velocity taken at the point middle from imgae1 and 2) |
---|
501 | ytable(ivec)=jref+vtable(ivec)/2; |
---|
502 | iref=round(xtable(ivec));% image index for the middle of the vector |
---|
503 | jref=round(ytable(ivec)); |
---|
504 | if checkmask && par_civ.Mask(jref,iref)<200 && par_civ.Mask(jref,iref)>=100 |
---|
505 | utable(ivec)=0; |
---|
506 | vtable(ivec)=0; |
---|
507 | F(ivec)=3; |
---|
508 | end |
---|
509 | ctable(ivec)=corrmax/sum_square;% correlation value |
---|
510 | catch ME |
---|
511 | % vector=[0 0]; %if something goes wrong with cross correlation..... |
---|
512 | F(ivec)=3; |
---|
513 | end |
---|
514 | else |
---|
515 | F(ivec)=3; |
---|
516 | end |
---|
517 | end |
---|
518 | end |
---|
519 | |
---|
520 | %Create the vector matrix x, y, u, v |
---|
521 | end |
---|
522 | result_conv=result_conv*corrmax/(255*sum_square);% keep the last correlation matrix for output |
---|
523 | |
---|
524 | %------------------------------------------------------------------------ |
---|
525 | % --- Find the maximum of the correlation function after interpolation |
---|
526 | function [vector,F] = SUBPIXGAUSS (result_conv,x,y) |
---|
527 | %------------------------------------------------------------------------ |
---|
528 | vector=[0 0]; %default |
---|
529 | F=0; |
---|
530 | [npy,npx]=size(result_conv); |
---|
531 | |
---|
532 | % if (x <= (size(result_conv,1)-1)) && (y <= (size(result_conv,1)-1)) && (x >= 1) && (y >= 1) |
---|
533 | %the following 8 lines are copyright (c) 1998, Uri Shavit, Roi Gurka, Alex Liberzon, Technion ᅵ Israel Institute of Technology |
---|
534 | %http://urapiv.wordpress.com |
---|
535 | peaky = y; |
---|
536 | if y <= npy-1 && y >= 1 |
---|
537 | f0 = log(result_conv(y,x)); |
---|
538 | f1 = real(log(result_conv(y-1,x))); |
---|
539 | f2 = real(log(result_conv(y+1,x))); |
---|
540 | peaky = peaky+ (f1-f2)/(2*f1-4*f0+2*f2); |
---|
541 | else |
---|
542 | F=-2; % warning flag for vector truncated by the limited search box |
---|
543 | end |
---|
544 | peakx=x; |
---|
545 | if x <= npx-1 && x >= 1 |
---|
546 | f0 = log(result_conv(y,x)); |
---|
547 | f1 = real(log(result_conv(y,x-1))); |
---|
548 | f2 = real(log(result_conv(y,x+1))); |
---|
549 | peakx = peakx+ (f1-f2)/(2*f1-4*f0+2*f2); |
---|
550 | else |
---|
551 | F=-2; % warning flag for vector truncated by the limited search box |
---|
552 | end |
---|
553 | vector=[peakx-floor(npx/2)-1 peaky-floor(npy/2)-1]; |
---|
554 | |
---|
555 | %------------------------------------------------------------------------ |
---|
556 | % --- Find the maximum of the correlation function after interpolation |
---|
557 | function [vector,F] = SUBPIX2DGAUSS (result_conv,x,y) |
---|
558 | %------------------------------------------------------------------------ |
---|
559 | vector=[0 0]; %default |
---|
560 | F=-2; |
---|
561 | peaky=y; |
---|
562 | peakx=x; |
---|
563 | [npy,npx]=size(result_conv); |
---|
564 | if (x <= npx-1) && (y <= npy-1) && (x >= 1) && (y >= 1) |
---|
565 | F=0; |
---|
566 | for i=-1:1 |
---|
567 | for j=-1:1 |
---|
568 | %following 15 lines based on |
---|
569 | %H. Nobach ᅵ M. Honkanen (2005) |
---|
570 | %Two-dimensional Gaussian regression for sub-pixel displacement |
---|
571 | %estimation in particle image velocimetry or particle position |
---|
572 | %estimation in particle tracking velocimetry |
---|
573 | %Experiments in Fluids (2005) 38: 511ᅵ515 |
---|
574 | c10(j+2,i+2)=i*log(result_conv(y+j, x+i)); |
---|
575 | c01(j+2,i+2)=j*log(result_conv(y+j, x+i)); |
---|
576 | c11(j+2,i+2)=i*j*log(result_conv(y+j, x+i)); |
---|
577 | c20(j+2,i+2)=(3*i^2-2)*log(result_conv(y+j, x+i)); |
---|
578 | c02(j+2,i+2)=(3*j^2-2)*log(result_conv(y+j, x+i)); |
---|
579 | end |
---|
580 | end |
---|
581 | c10=(1/6)*sum(sum(c10)); |
---|
582 | c01=(1/6)*sum(sum(c01)); |
---|
583 | c11=(1/4)*sum(sum(c11)); |
---|
584 | c20=(1/6)*sum(sum(c20)); |
---|
585 | c02=(1/6)*sum(sum(c02)); |
---|
586 | deltax=(c11*c01-2*c10*c02)/(4*c20*c02-c11^2); |
---|
587 | deltay=(c11*c10-2*c01*c20)/(4*c20*c02-c11^2); |
---|
588 | if abs(deltax)<1 |
---|
589 | peakx=x+deltax; |
---|
590 | end |
---|
591 | if abs(deltay)<1 |
---|
592 | peaky=y+deltay; |
---|
593 | end |
---|
594 | end |
---|
595 | vector=[peakx-floor(npx/2)-1 peaky-floor(npy/2)-1]; |
---|
596 | |
---|
597 | %'RUN_FIX': function for fixing velocity fields: |
---|
598 | %----------------------------------------------- |
---|
599 | % RUN_FIX(filename,field,flagindex,thresh_vecC,thresh_vel,iter,flag_mask,maskname,fileref,fieldref) |
---|
600 | % |
---|
601 | %filename: name of the netcdf file (used as input and output) |
---|
602 | %field: structure specifying the names of the fields to fix (depending on civ1 or civ2) |
---|
603 | %.vel_type='civ1' or 'civ2'; |
---|
604 | %.nb=name of the dimension common to the field to fix ('nb_vectors' for civ1); |
---|
605 | %.fixflag=name of fix flag variable ('vec_FixFlag' for civ1) |
---|
606 | %flagindex: flag specifying which values of vec_f are removed: |
---|
607 | % if flagindex(1)=1: vec_f=-2 vectors are removed |
---|
608 | % if flagindex(2)=1: vec_f=3 vectors are removed |
---|
609 | % if flagindex(3)=1: vec_f=2 vectors are removed (if iter=1) or vec_f=4 vectors are removed (if iter=2) |
---|
610 | %iter=1 for civ1 fields and iter=2 for civ2 fields |
---|
611 | %thresh_vecC: threshold in the image correlation vec_C |
---|
612 | %flag_mask: =1 mask used to remove vectors (0 else) |
---|
613 | %maskname: name of the mask image file for fix |
---|
614 | %thresh_vel: threshold on velocity, or on the difference with the reference file fileref if exists |
---|
615 | %inf_sup=1: remove values smaller than threshold thresh_vel, =2, larger than threshold |
---|
616 | %fileref: .nc file name for a reference velocity (='': refrence 0 used) |
---|
617 | %fieldref: 'civ1','filter1'...feld used in fileref |
---|
618 | |
---|
619 | function FF=fix(Param,F,C,U,V,X,Y) |
---|
620 | FF=zeros(size(F));%default |
---|
621 | Param |
---|
622 | |
---|
623 | %criterium on warn flags |
---|
624 | FlagName={'CheckFmin2','CheckF2','CheckF3','CheckF4'}; |
---|
625 | FlagVal=[-2 2 3 4]; |
---|
626 | for iflag=1:numel(FlagName) |
---|
627 | if isfield(Param,FlagName{iflag}) && Param.(FlagName{iflag}) |
---|
628 | FF=(FF==1| F==FlagVal(iflag)); |
---|
629 | end |
---|
630 | end |
---|
631 | %criterium on correlation values |
---|
632 | if isfield (Param,'MinCorr') |
---|
633 | FF=FF==1 | C<Param.MinCorr; |
---|
634 | end |
---|
635 | if (isfield(Param,'MinVel')&&~isempty(Param.MinVel))||(isfield (Param,'MaxVel')&&~isempty(Param.MaxVel)) |
---|
636 | Umod= U.*U+V.*V; |
---|
637 | if isfield (Param,'MinVel')&&~isempty(Param.MinVel) |
---|
638 | FF=FF==1 | Umod<(Param.MinVel*Param.MinVel); |
---|
639 | end |
---|
640 | if isfield (Param,'MaxVel')&&~isempty(Param.MaxVel) |
---|
641 | FF=FF==1 | Umod>(Param.MaxVel*Param.MaxVel); |
---|
642 | end |
---|
643 | end |
---|
644 | return |
---|
645 | |
---|
646 | |
---|
647 | FF=double(FF); |
---|
648 | |
---|
649 | |
---|
650 | |
---|
651 | %------------------------------------------------------------------------ |
---|
652 | % patch function |
---|
653 | % OUTPUT: |
---|
654 | % SubRangx,SubRangy(NbSubdomain,2): range (min, max) of the coordiantes x and y respectively, for each subdomain |
---|
655 | % nbpoints(NbSubdomain): number of source points for each subdomain |
---|
656 | % FF: false flags |
---|
657 | % U_smooth, V_smooth: filtered velocity components at the positions of the initial data |
---|
658 | % X_tps,Y_tps,U_tps,V_tps: positions and weight of the tps for each subdomain |
---|
659 | % |
---|
660 | % INPUT: |
---|
661 | % X, Y: set of coordinates of the initial data |
---|
662 | % U,V: set of velocity components of the initial data |
---|
663 | % Rho: smoothing parameter |
---|
664 | % Threshold: max diff accepted between smoothed and initial data |
---|
665 | % Subdomain: estimated number of data points in each subdomain |
---|
666 | |
---|
667 | function [SubRangx,SubRangy,nbpoints,FF,U_smooth,V_smooth,X_tps,Y_tps,U_tps,V_tps] =patch(X,Y,U,V,Rho,Threshold,SubDomain) |
---|
668 | %subdomain decomposition |
---|
669 | warning off |
---|
670 | U=reshape(U,[],1); |
---|
671 | V=reshape(V,[],1); |
---|
672 | X=reshape(X,[],1); |
---|
673 | Y=reshape(Y,[],1); |
---|
674 | nbvec=numel(X); |
---|
675 | NbSubDomain=ceil(nbvec/SubDomain); |
---|
676 | MinX=min(X); |
---|
677 | MinY=min(Y); |
---|
678 | MaxX=max(X); |
---|
679 | MaxY=max(Y); |
---|
680 | RangX=MaxX-MinX; |
---|
681 | RangY=MaxY-MinY; |
---|
682 | AspectRatio=RangY/RangX; |
---|
683 | NbSubDomainX=max(floor(sqrt(NbSubDomain/AspectRatio)),1); |
---|
684 | NbSubDomainY=max(floor(sqrt(NbSubDomain*AspectRatio)),1); |
---|
685 | NbSubDomain=NbSubDomainX*NbSubDomainY; |
---|
686 | SizX=RangX/NbSubDomainX;%width of subdomains |
---|
687 | SizY=RangY/NbSubDomainY;%height of subdomains |
---|
688 | CentreX=linspace(MinX+SizX/2,MaxX-SizX/2,NbSubDomainX); |
---|
689 | CentreY=linspace(MinY+SizY/2,MaxY-SizY/2,NbSubDomainY); |
---|
690 | [CentreX,CentreY]=meshgrid(CentreX,CentreY); |
---|
691 | CentreY=reshape(CentreY,1,[]);% Y positions of subdomain centres |
---|
692 | CentreX=reshape(CentreX,1,[]);% X positions of subdomain centres |
---|
693 | rho=SizX*SizY*Rho/1000000;%optimum rho increase as the area of the subdomain (division by 10^6 to reach good values with the default GUI input) |
---|
694 | U_tps_sub=zeros(length(X),NbSubDomain);%default spline |
---|
695 | V_tps_sub=zeros(length(X),NbSubDomain);%default spline |
---|
696 | U_smooth=zeros(length(X),1); |
---|
697 | V_smooth=zeros(length(X),1); |
---|
698 | |
---|
699 | nb_select=zeros(length(X),1); |
---|
700 | FF=zeros(length(X),1); |
---|
701 | check_empty=zeros(1,NbSubDomain); |
---|
702 | SubRangx=zeros(NbSubDomain,2);%initialise the positions of subdomains |
---|
703 | SubRangy=zeros(NbSubDomain,2); |
---|
704 | for isub=1:NbSubDomain |
---|
705 | SubRangx(isub,:)=[CentreX(isub)-0.55*SizX CentreX(isub)+0.55*SizX]; |
---|
706 | SubRangy(isub,:)=[CentreY(isub)-0.55*SizY CentreY(isub)+0.55*SizY]; |
---|
707 | ind_sel_previous=[]; |
---|
708 | ind_sel=0; |
---|
709 | while numel(ind_sel)>numel(ind_sel_previous) %increase the subdomain during four iterations at most |
---|
710 | ind_sel_previous=ind_sel; |
---|
711 | ind_sel=find(X>=SubRangx(isub,1) & X<=SubRangx(isub,2) & Y>=SubRangy(isub,1) & Y<=SubRangy(isub,2)); |
---|
712 | % if no vector in the subdomain, skip the subdomain |
---|
713 | if isempty(ind_sel) |
---|
714 | check_empty(isub)=1; |
---|
715 | U_tps(1,isub)=0;%define U_tps and V_tps by default |
---|
716 | V_tps(1,isub)=0; |
---|
717 | break |
---|
718 | % if too few selected vectors, increase the subrange for next iteration |
---|
719 | elseif numel(ind_sel)<SubDomain/4 && ~isequal( ind_sel,ind_sel_previous); |
---|
720 | SubRangx(isub,1)=SubRangx(isub,1)-SizX/4; |
---|
721 | SubRangx(isub,2)=SubRangx(isub,2)+SizX/4; |
---|
722 | SubRangy(isub,1)=SubRangy(isub,1)-SizY/4; |
---|
723 | SubRangy(isub,2)=SubRangy(isub,2)+SizY/4; |
---|
724 | else |
---|
725 | [U_smooth_sub,U_tps_sub]=tps_coeff(X(ind_sel),Y(ind_sel),U(ind_sel),rho); |
---|
726 | [V_smooth_sub,V_tps_sub]=tps_coeff(X(ind_sel),Y(ind_sel),V(ind_sel),rho); |
---|
727 | UDiff=U_smooth_sub-U(ind_sel); |
---|
728 | VDiff=V_smooth_sub-V(ind_sel); |
---|
729 | NormDiff=UDiff.*UDiff+VDiff.*VDiff; |
---|
730 | FF(ind_sel)=20*(NormDiff>Threshold);%put FF value to 20 to identify the criterium of elimmination |
---|
731 | ind_ind_sel=find(FF(ind_sel)==0); % select the indices of ind_sel corresponding to the remaining vectors |
---|
732 | % no value exceeds threshold, the result is recorded |
---|
733 | if isequal(numel(ind_ind_sel),numel(ind_sel)) |
---|
734 | U_smooth(ind_sel)=U_smooth(ind_sel)+U_smooth_sub; |
---|
735 | V_smooth(ind_sel)=V_smooth(ind_sel)+V_smooth_sub; |
---|
736 | nbpoints(isub)=numel(ind_sel); |
---|
737 | X_tps(1:nbpoints(isub),isub)=X(ind_sel); |
---|
738 | Y_tps(1:nbpoints(isub),isub)=Y(ind_sel); |
---|
739 | U_tps(1:nbpoints(isub)+3,isub)=U_tps_sub; |
---|
740 | V_tps(1:nbpoints(isub)+3,isub)=V_tps_sub; |
---|
741 | nb_select(ind_sel)=nb_select(ind_sel)+1; |
---|
742 | display('good') |
---|
743 | break |
---|
744 | % too few selected vectors, increase the subrange for next iteration |
---|
745 | elseif numel(ind_ind_sel)<SubDomain/4 && ~isequal( ind_sel,ind_sel_previous); |
---|
746 | SubRangx(isub,1)=SubRangx(isub,1)-SizX/4; |
---|
747 | SubRangx(isub,2)=SubRangx(isub,2)+SizX/4; |
---|
748 | SubRangy(isub,1)=SubRangy(isub,1)-SizY/4; |
---|
749 | SubRangy(isub,2)=SubRangy(isub,2)+SizY/4; |
---|
750 | % display('fewsmooth') |
---|
751 | % interpolation-smoothing is done again with the selected vectors |
---|
752 | else |
---|
753 | [U_smooth_sub,U_tps_sub]=tps_coeff(X(ind_sel(ind_ind_sel)),Y(ind_sel(ind_ind_sel)),U(ind_sel(ind_ind_sel)),rho); |
---|
754 | [V_smooth_sub,V_tps_sub]=tps_coeff(X(ind_sel(ind_ind_sel)),Y(ind_sel(ind_ind_sel)),V(ind_sel(ind_ind_sel)),rho); |
---|
755 | U_smooth(ind_sel(ind_ind_sel))=U_smooth(ind_sel(ind_ind_sel))+U_smooth_sub; |
---|
756 | V_smooth(ind_sel(ind_ind_sel))=V_smooth(ind_sel(ind_ind_sel))+V_smooth_sub; |
---|
757 | nbpoints(isub)=numel(ind_ind_sel); |
---|
758 | X_tps(1:nbpoints(isub),isub)=X(ind_sel(ind_ind_sel)); |
---|
759 | Y_tps(1:nbpoints(isub),isub)=Y(ind_sel(ind_ind_sel)); |
---|
760 | U_tps(1:nbpoints(isub)+3,isub)=U_tps_sub; |
---|
761 | V_tps(1:nbpoints(isub)+3,isub)=V_tps_sub; |
---|
762 | nb_select(ind_sel(ind_ind_sel))=nb_select(ind_sel(ind_ind_sel))+1; |
---|
763 | display('good2') |
---|
764 | break |
---|
765 | end |
---|
766 | end |
---|
767 | end |
---|
768 | end |
---|
769 | ind_empty=find(check_empty); |
---|
770 | %remove empty subdomains |
---|
771 | if ~isempty(ind_empty) |
---|
772 | SubRangx(ind_empty,:)=[]; |
---|
773 | SubRangy(ind_empty,:)=[]; |
---|
774 | X_tps(:,ind_empty)=[]; |
---|
775 | Y_tps(:,ind_empty)=[]; |
---|
776 | U_tps(:,ind_empty)=[]; |
---|
777 | V_tps(:,ind_empty)=[]; |
---|
778 | end |
---|
779 | nb_select(nb_select==0)=1;%ones(size(find(nb_select==0))); |
---|
780 | U_smooth=U_smooth./nb_select; |
---|
781 | V_smooth=V_smooth./nb_select; |
---|
782 | |
---|
783 | |
---|
784 | |
---|
785 | |
---|
786 | |
---|