1 | %'civ_series': PIV function activated by the general GUI series |
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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 | % filter_tps: make interpolation-smoothing |
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6 | %------------------------------------------------------------------------ |
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7 | % function [Data,errormsg,result_conv]= civ_series(Param) |
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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: Matlab structure of input parameters |
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16 | % Param contains info of the GUI series using the fct read_GUI. |
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17 | % Param.Action.RUN = 0 (to set the status of the GUI series) or =1 to RUN the computation |
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18 | % Param.InputTable: sets the input file(s) |
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19 | % if absent, the fct looks for input data in Param.ActionInput (test mode) |
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20 | % Param.OutputSubDir: sets the folder name of output file(s, |
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21 | % if absent no file is produced, result in the output structure Data (test mode) |
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22 | % Param.ActionInput: substructure with the parameters provided by the GUI civ_input |
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23 | % .Civ1: parameters for civ1 |
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24 | % .Fix1: parameters for fix1 |
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25 | % .Patch1: |
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26 | % .Civ2: for civ2 |
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27 | % .Fix2: |
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28 | % .Patch2: |
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29 | |
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30 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA |
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31 | % Copyright 2011-2015, LEGI / CNRS UJF G-INP, Joel.Sommeria@legi.grenoble-inp.fr |
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32 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA |
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33 | % This is part of the toolbox UVMAT. |
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34 | % |
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35 | % UVMAT is free software; you can redistribute it and/or modify |
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36 | % it under the terms of the GNU General Public License as published by |
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37 | % the Free Software Foundation; either version 2 of the License, or |
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38 | % (at your option) any later version. |
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39 | % |
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40 | % UVMAT is distributed in the hope that it will be useful, |
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41 | % but WITHOUT ANY WARRANTY; without even the implied warranty of |
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42 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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43 | % GNU General Public License (open UVMAT/COPYING.txt) for more details. |
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44 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA |
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45 | |
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46 | function [Data,errormsg,result_conv]= civ_series(Param) |
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47 | errormsg=''; |
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48 | |
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49 | %% set the input elements needed on the GUI series when the action is selected in the menu ActionName or InputTable refreshed |
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50 | if isstruct(Param) && isequal(Param.Action.RUN,0)% function activated from the GUI series but not RUN |
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51 | path_series=fileparts(which('series')); |
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52 | addpath(fullfile(path_series,'series')) |
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53 | Data=civ_input(Param);% introduce the civ parameters using the GUI civ_input |
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54 | if isempty(Data) |
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55 | Data=Param;% if civ_input has been cancelled, keep previous parameters |
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56 | end |
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57 | Data.Program=mfilename;%gives the name of the current function |
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58 | Data.AllowInputSort='off';% allow alphabetic sorting of the list of input file SubDir (options 'off'/'on', 'off' by default) |
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59 | Data.WholeIndexRange='off';% prescribes the file index ranges from min to max (options 'off'/'on', 'off' by default) |
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60 | if isfield(Data,'ActionInput') && isfield(Data.ActionInput,'PairIndices')&& strcmp(Data.ActionInput.PairIndices.ListPairMode,'pair j1-j2') |
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61 | Data.Desable_j_index='on';% hide the j index in series (set by the pair choice in civ_input) |
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62 | end |
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63 | Data.NbSlice='off'; %nbre of slices ('off' by default) |
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64 | Data.VelType='off';% menu for selecting the velocity type (options 'off'/'one'/'two', 'off' by default) |
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65 | Data.FieldName='on';% menu for selecting the field (s) in the input file(options 'off'/'one'/'two', 'off' by default) |
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66 | Data.FieldTransform = 'off';%can use a transform function |
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67 | Data.ProjObject='off';%can use projection object(option 'off'/'on', |
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68 | Data.Mask='off';%can use mask option (option 'off'/'on', 'off' by default) |
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69 | Data.OutputDirExt='.civ';%set the output dir extension |
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70 | Data.OutputSubDirMode='last'; %select the last subDir in the input table as root of the output subdir name (option 'all'/'first'/'last', 'all' by default) |
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71 | Data.OutputFileMode='NbInput_i';% one output file expected per value of i index (used for waitbar) |
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72 | Data.CheckOverwriteVisible='on'; % manage the overwrite of existing files (default=1) |
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73 | return |
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74 | end |
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75 | |
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76 | %% read input parameters from an xml file if input is a file name (batch mode) |
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77 | checkrun=1; |
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78 | if ischar(Param) |
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79 | Param=xml2struct(Param);% read Param as input file (batch case) |
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80 | checkrun=0; |
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81 | end |
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82 | |
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83 | %% test input |
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84 | if ~isfield(Param,'ActionInput') |
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85 | disp_uvmat('ERROR','no parameter set for PIV',checkrun) |
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86 | return |
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87 | end |
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88 | iview_A=0;%default values |
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89 | NbField=1; |
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90 | RUNHandle=[]; |
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91 | CheckInputFile=isfield(Param,'InputTable');%= 1 in test use for TestCiv (no nc file involved) |
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92 | CheckOutputFile=isfield(Param,'OutputSubDir');%= 1 in test use for TestPatch (no nc file produced) |
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93 | |
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94 | %% input files and indexing (skipped in Test mode) |
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95 | if CheckInputFile |
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96 | hseries=findobj(allchild(0),'Tag','series'); |
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97 | RUNHandle=findobj(hseries,'Tag','RUN');%handle of RUN button in GUI series |
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98 | WaitbarHandle=findobj(hseries,'Tag','Waitbar');%handle of waitbar in GUI series |
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99 | MaxIndex_i=Param.IndexRange.MaxIndex_i; |
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100 | MinIndex_i=Param.IndexRange.MinIndex_i; |
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101 | MaxIndex_j=ones(size(MaxIndex_i));MinIndex_j=ones(size(MinIndex_i)); |
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102 | if isfield(Param.IndexRange,'MaxIndex_j')&& isfield(Param.IndexRange,'MinIndex_j') |
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103 | MaxIndex_j=Param.IndexRange.MaxIndex_j; |
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104 | MinIndex_j=Param.IndexRange.MinIndex_j; |
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105 | end |
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106 | if isfield(Param,'InputTable') |
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107 | [tild,i1_series,i2_series,j1_series,j2_series]=get_file_series(Param); |
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108 | iview_A=0;% series index (iview) for the first image series |
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109 | iview_B=0;% series index (iview) for the second image series (only non zero for option 'shift' comparing two image series ) |
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110 | if Param.ActionInput.CheckCiv1 |
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111 | iview_A=1;% usual PIV, the image series is on the first line of the table |
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112 | elseif Param.ActionInput.CheckCiv2 % civ2 is performed without Civ1, a netcdf file series is needed in the first table line |
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113 | iview_A=2;% the second line is used for the input images of Civ2 |
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114 | end |
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115 | if strcmp(Param.ActionInput.ListCompareMode,'shift') |
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116 | iview_B=iview_A+1; % the second image series is on the next line of the input table |
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117 | end |
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118 | if iview_A~=0 |
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119 | RootPath_A=Param.InputTable{iview_A,1}; |
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120 | RootFile_A=Param.InputTable{iview_A,3}; |
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121 | SubDir_A=Param.InputTable{iview_A,2}; |
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122 | NomType_A=Param.InputTable{iview_A,4}; |
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123 | FileExt_A=Param.InputTable{iview_A,5}; |
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124 | if iview_B==0 |
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125 | iview_B=iview_A;% the second image series is the same as the first |
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126 | end |
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127 | RootPath_B=Param.InputTable{iview_B,1}; |
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128 | RootFile_B=Param.InputTable{iview_B,3}; |
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129 | SubDir_B=Param.InputTable{iview_B,2}; |
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130 | NomType_B=Param.InputTable{iview_B,4}; |
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131 | FileExt_B=Param.InputTable{iview_B,5}; |
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132 | end |
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133 | |
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134 | PairCiv2=''; |
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135 | switch Param.ActionInput.ListCompareMode |
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136 | case 'PIV' |
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137 | PairCiv1=Param.ActionInput.PairIndices.ListPairCiv1; |
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138 | if isfield(Param.ActionInput.PairIndices,'ListPairCiv2') |
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139 | PairCiv2=Param.ActionInput.PairIndices.ListPairCiv2;%string which determines the civ2 pair |
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140 | end |
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141 | if iview_A==1% if Civ1 is performed |
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142 | [i1_series_Civ1,i2_series_Civ1,j1_series_Civ1,j2_series_Civ1,check_bounds,NomTypeNc]=... |
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143 | find_pair_indices(PairCiv1,i1_series{1},j1_series{1},MinIndex_i,MaxIndex_i,MinIndex_j,MaxIndex_j); |
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144 | if ~isempty(PairCiv2) |
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145 | [i1_series_Civ2,i2_series_Civ2,j1_series_Civ2,j2_series_Civ2,check_bounds_Civ2]=... |
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146 | find_pair_indices(PairCiv2,i1_series{1},j1_series{1},MinIndex_i(1),MaxIndex_i(1),MinIndex_j(1),MaxIndex_j(1)); |
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147 | check_bounds=check_bounds | check_bounds_Civ2; |
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148 | end |
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149 | else% we start from an existing Civ1 file |
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150 | i1_series_Civ1=i1_series{1}; |
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151 | i2_series_Civ1=i2_series{1}; |
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152 | j1_series_Civ1=j1_series{1}; |
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153 | j2_series_Civ1=j2_series{1}; |
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154 | NomTypeNc=Param.InputTable{1,4}; |
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155 | if ~isempty(PairCiv2) |
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156 | [i1_series_Civ2,i2_series_Civ2,j1_series_Civ2,j2_series_Civ2,check_bounds,NomTypeNc]=... |
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157 | find_pair_indices(PairCiv2,i1_series{2},j1_series{2},MinIndex_i(2),MaxIndex_i(2),MinIndex_j(2),MaxIndex_j(2)); |
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158 | end |
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159 | end |
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160 | case 'displacement' |
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161 | i1_series_Civ1=Param.ActionInput.OriginIndex*ones(size(i1_series{1})); |
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162 | i2_series_Civ1=i1_series{1};i2_series_Civ2=i1_series{1}; |
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163 | j1_series_Civ1=ones(size(i1_series{1}));% first j index is 1 |
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164 | if isempty(j1_series_Civ1) |
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165 | j2_series_Civ1=ones(size(i1_series{1})); |
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166 | else |
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167 | j2_series_Civ1=j1_series_Civ1; |
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168 | end |
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169 | i1_series_Civ2=i1_series_Civ1; |
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170 | j1_series_Civ2=j1_series_Civ1; |
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171 | j2_series_Civ2=j2_series_Civ1; |
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172 | NomTypeNc=Param.InputTable{1,4}; |
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173 | case 'PIV volume' |
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174 | % TODO, TODO |
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175 | end |
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176 | if isempty(j1_series_Civ1) |
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177 | FrameIndex_A_Civ1=i1_series_Civ1; |
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178 | FrameIndex_B_Civ1=i2_series_Civ1; |
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179 | j1_series_Civ1=ones(size(i1_series_Civ1)); |
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180 | j2_series_Civ1=ones(size(i1_series_Civ1)); |
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181 | else |
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182 | FrameIndex_A_Civ1=j1_series_Civ1; |
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183 | FrameIndex_B_Civ1=j2_series_Civ1; |
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184 | end |
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185 | if isempty(PairCiv2) |
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186 | FrameIndex_A_Civ2=FrameIndex_A_Civ1; |
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187 | FrameIndex_B_Civ2=FrameIndex_B_Civ1; |
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188 | else |
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189 | if isempty(j1_series_Civ2) |
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190 | FrameIndex_A_Civ2=i1_series_Civ2; |
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191 | FrameIndex_B_Civ2=i2_series_Civ2; |
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192 | j1_series_Civ2=ones(size(i1_series_Civ2)); |
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193 | j2_series_Civ2=ones(size(i1_series_Civ2)); |
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194 | else |
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195 | FrameIndex_A_Civ2=j1_series_Civ2; |
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196 | FrameIndex_B_Civ2=j2_series_Civ2; |
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197 | end |
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198 | end |
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199 | if isempty(i1_series_Civ1)||(~isempty(PairCiv2) && isempty(i1_series_Civ2)) |
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200 | disp_uvmat('ERROR','no image pair fo civ in the input file index range',checkrun) |
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201 | return |
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202 | end |
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203 | end |
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204 | |
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205 | %% check the first image pair |
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206 | try |
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207 | if Param.ActionInput.CheckCiv1% Civ1 is performed |
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208 | ImageName_A=fullfile_uvmat(RootPath_A,SubDir_A,RootFile_A,FileExt_A,NomType_A,i1_series_Civ1(1),[],j1_series_Civ1(1)); |
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209 | if ~exist(ImageName_A,'file') |
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210 | disp_uvmat('ERROR',['first input image ' ImageName_A ' does not exist'],checkrun) |
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211 | return |
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212 | end |
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213 | [FileInfo_A,VideoObject_A]=get_file_info(ImageName_A); |
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214 | FileType_A=FileInfo_A.FileType; |
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215 | if strcmp(FileInfo_A.FileType,'netcdf') |
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216 | FieldName_A=Param.InputFields.FieldName; |
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217 | [DataIn,tild,tild,errormsg]=nc2struct(ImageName_A,{FieldName_A}); |
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218 | par_civ1.ImageA=DataIn.(FieldName_A); |
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219 | else |
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220 | [par_civ1.ImageA,VideoObject_A] = read_image(ImageName_A,FileType_A,VideoObject_A,FrameIndex_A_Civ1(1)); |
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221 | end |
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222 | ImageName_B=fullfile_uvmat(RootPath_B,SubDir_B,RootFile_B,FileExt_B,NomType_B,i2_series_Civ1(1),[],j2_series_Civ1(1)); |
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223 | if ~exist(ImageName_B,'file') |
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224 | disp_uvmat('ERROR',['first input image ' ImageName_B ' does not exist'],checkrun) |
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225 | return |
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226 | end |
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227 | [FileInfo_B,VideoObject_B]=get_file_info(ImageName_B); |
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228 | FileType_B=FileInfo_B.FileType; |
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229 | if strcmp(FileInfo_B.FileType,'netcdf') |
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230 | FieldName_B=Param.InputFields.FieldName; |
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231 | [DataIn,tild,tild,errormsg]=nc2struct(ImageName_B,{FieldName_B}); |
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232 | par_civ1.ImageB=DataIn.(FieldName_B); |
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233 | else |
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234 | [par_civ1.ImageB,VideoObject_B] = read_image(ImageName_B,FileType_B,VideoObject_B,FrameIndex_B_Civ1(1)); |
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235 | end |
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236 | NbField=numel(i1_series_Civ1); |
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237 | elseif Param.ActionInput.CheckCiv2 % Civ2 is performed without Civ1 |
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238 | ImageName_A=fullfile_uvmat(RootPath_A,SubDir_A,RootFile_A,FileExt_A,NomType_A,i1_series_Civ2(1),[],j1_series_Civ2(1)); |
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239 | if ~exist(ImageName_A,'file') |
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240 | disp_uvmat('ERROR',['first input image ' ImageName_A ' does not exist'],checkrun) |
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241 | return |
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242 | end |
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243 | [FileInfo_A,VideoObject_A]=get_file_info(ImageName_A); |
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244 | FileType_A=FileInfo_A.FileType; |
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245 | [par_civ1.ImageA,VideoObject_A] = read_image(ImageName_A,FileInfo_A.FileType,VideoObject_A,FrameIndex_A_Civ2(1)); |
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246 | ImageName_B=fullfile_uvmat(RootPath_B,SubDir_B,RootFile_B,FileExt_B,NomType_B,i2_series_Civ2(1),[],j2_series_Civ2(1)); |
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247 | if ~exist(ImageName_B,'file') |
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248 | disp_uvmat('ERROR',['first input image ' ImageName_B ' does not exist'],checkrun) |
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249 | return |
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250 | end |
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251 | [FileInfo_B,VideoObject_B]=get_file_info(ImageName_B); |
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252 | FileType_B=FileInfo_B.FileType; |
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253 | [par_civ1.ImageB,VideoObject_B] = read_image(ImageName_B,FileType_B,VideoObject_B,FrameIndex_B_Civ2(1)); |
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254 | NbField=numel(i1_series_Civ2); |
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255 | else |
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256 | NbField=numel(i1_series_Civ1);% no image used (only fix or patch) TO CHECK |
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257 | end |
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258 | catch ME |
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259 | if ~isempty(ME.message) |
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260 | disp_uvmat('ERROR', ['error reading input image: ' ME.message],checkrun) |
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261 | return |
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262 | end |
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263 | end |
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264 | |
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265 | |
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266 | %% Output directory |
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267 | OutputDir=''; |
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268 | if CheckOutputFile |
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269 | OutputDir=[Param.OutputSubDir Param.OutputDirExt]; |
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270 | end |
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271 | end |
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272 | |
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273 | %% prepare output Data |
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274 | ListGlobalAttribute={'Conventions','Program','CivStage'}; |
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275 | Data.Conventions='uvmat/civdata';% states the conventions used for the description of field variables and attributes |
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276 | Data.Program='civ_series'; |
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277 | Data.CivStage=0;%default |
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278 | check_civx=0;%default |
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279 | |
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280 | %% get timing from the ImaDoc file or input video |
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281 | if iview_A~=0 |
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282 | XmlFileName=find_imadoc(RootPath_A,SubDir_A,RootFile_A,FileExt_A); |
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283 | time=[]; |
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284 | if ~isempty(XmlFileName) |
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285 | XmlData=imadoc2struct(XmlFileName); |
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286 | if isfield(XmlData,'Time') |
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287 | time=XmlData.Time; |
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288 | TimeSource='xml'; |
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289 | end |
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290 | if isfield(XmlData,'Camera') |
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291 | if isfield(XmlData.Camera,'NbSlice')&& ~isempty(XmlData.Camera.NbSlice) |
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292 | NbSlice_calib{iview}=XmlData.Camera.NbSlice;% Nbre of slices for Zindex in phys transform |
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293 | if ~isequal(NbSlice_calib{iview},NbSlice_calib{1}) |
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294 | msgbox_uvmat('WARNING','inconsistent number of Z indices for the two field series'); |
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295 | end |
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296 | end |
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297 | if isfield(XmlData.Camera,'TimeUnit')&& ~isempty(XmlData.Camera.TimeUnit) |
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298 | TimeUnit=XmlData.Camera.TimeUnit; |
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299 | end |
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300 | end |
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301 | end |
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302 | if isempty(time) && ~isempty(find(strcmp(FileType_A,{'mmreader','video'})))% case of video input |
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303 | time=zeros(FileInfo_A.NumberOfFrames+1,2); |
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304 | time(:,2)=(0:1/FileInfo_A.FrameRate:(FileInfo_A.NumberOfFrames)/FileInfo_A.FrameRate)'; |
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305 | TimeSource='video'; |
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306 | ColorType='truecolor'; |
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307 | end |
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308 | if isempty(time)% time = index i +0.001 index j by default |
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309 | %MinIndex_i=min(i1_series_Civ1); |
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310 | MaxIndex_i=max(i2_series_Civ1); |
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311 | %MinIndex_j=min(j1_series_Civ1); |
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312 | MaxIndex_j=max(j2_series_Civ1); |
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313 | time=(1:MaxIndex_i)'*ones(1,MaxIndex_j); |
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314 | time=time+0.001*ones(MaxIndex_i,1)*(1:MaxIndex_j); |
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315 | time=[zeros(1,MaxIndex_j);time];% insert a first line of zeros |
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316 | time=[zeros(MaxIndex_i+1,1) time];% insert a first column of zeros |
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317 | end |
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318 | |
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319 | if length(FileInfo_A) >1 %case of image with multiple frames |
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320 | nbfield=length(FileInfo_A); |
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321 | nbfield_j=1; |
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322 | end |
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323 | end |
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324 | |
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325 | %%%%% MAIN LOOP %%%%%% |
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326 | maskname='';% initiate the mask name |
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327 | tic; |
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328 | CheckOverwrite=1;%default |
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329 | if isfield(Param,'CheckOverwrite') |
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330 | CheckOverwrite=Param.CheckOverwrite; |
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331 | end |
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332 | for ifield=1:NbField |
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333 | if ~isempty(RUNHandle)% update the waitbar in interactive mode with GUI series (checkrun=1) |
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334 | update_waitbar(WaitbarHandle,ifield/NbField) |
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335 | if checkrun && ~strcmp(get(RUNHandle,'BusyAction'),'queue') |
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336 | disp('program stopped by user') |
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337 | break |
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338 | end |
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339 | end |
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340 | if CheckInputFile |
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341 | if iview_A==0 % no nc file has been entered |
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342 | ncfile=fullfile_uvmat(Param.InputTable{1,1},Param.InputTable{1,2},Param.InputTable{1,3},Param.InputTable{1,5},... |
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343 | NomTypeNc,i1_series_Civ1(ifield),i2_series_Civ1(ifield),j1_series_Civ1(ifield),j2_series_Civ1(ifield)); |
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344 | else% an existing nc file has been entered |
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345 | if iview_A==1% if Civ1 is performed |
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346 | Civ1Dir=OutputDir; |
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347 | else |
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348 | Civ1Dir=Param.InputTable{1,2}; |
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349 | end |
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350 | if strcmp(Param.ActionInput.ListCompareMode,'PIV') |
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351 | ncfile=fullfile_uvmat(RootPath_A,Civ1Dir,RootFile_A,'.nc',NomTypeNc,i1_series_Civ1(ifield),i2_series_Civ1(ifield),... |
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352 | j1_series_Civ1(ifield),j2_series_Civ1(ifield)); |
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353 | else |
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354 | ncfile=fullfile_uvmat(RootPath_A,Civ1Dir,RootFile_A,'.nc',NomTypeNc,i2_series_Civ1(ifield),[],... |
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355 | j1_series_Civ1(ifield),j2_series_Civ1(ifield)); |
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356 | end |
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357 | end |
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358 | if ~CheckOverwrite && exist(ncfile,'file') |
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359 | continue% skip iteration if the mode overwrite is desactivated and the result file already exists |
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360 | end |
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361 | end |
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362 | %% Civ1 |
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363 | % if Civ1 computation is requested |
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364 | if isfield (Param.ActionInput,'Civ1') |
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365 | if CheckInputFile |
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366 | disp('civ1 started') |
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367 | end |
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368 | par_civ1=Param.ActionInput.Civ1; |
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369 | if CheckInputFile % read input images (except in mode Test where it is introduced directly in Param.ActionInput.Civ1.ImageNameA and B) |
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370 | try |
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371 | ImageName_A=fullfile_uvmat(RootPath_A,SubDir_A,RootFile_A,FileExt_A,NomType_A,i1_series_Civ1(ifield),[],j1_series_Civ1(ifield)); |
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372 | if strcmp(FileInfo_A.FileType,'netcdf')% case of input images in format netcdf |
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373 | FieldName_A=Param.InputFields.FieldName; |
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374 | [DataIn,tild,tild,errormsg]=nc2struct(ImageName_A,{FieldName_A}); |
---|
375 | par_civ1.ImageA=DataIn.(FieldName_A); |
---|
376 | else % usual image formats for image A |
---|
377 | [par_civ1.ImageA,VideoObject_A] = read_image(ImageName_A,FileType_A,VideoObject_A,FrameIndex_A_Civ1(ifield)); |
---|
378 | end |
---|
379 | ImageName_B=fullfile_uvmat(RootPath_B,SubDir_B,RootFile_B,FileExt_B,NomType_B,i2_series_Civ1(ifield),[],j2_series_Civ1(ifield)); |
---|
380 | if strcmp(FileInfo_B.FileType,'netcdf') % case of input images in format netcdf |
---|
381 | FieldName_B=Param.InputFields.FieldName; |
---|
382 | [DataIn,tild,tild,errormsg]=nc2struct(ImageName_B,{FieldName_B}); |
---|
383 | par_civ1.ImageB=DataIn.(FieldName_B); |
---|
384 | else % usual image formats for image B |
---|
385 | [par_civ1.ImageB,VideoObject_B] = read_image(ImageName_B,FileType_B,VideoObject_B,FrameIndex_B_Civ1(ifield)); |
---|
386 | end |
---|
387 | catch ME % display errors in reading input images |
---|
388 | if ~isempty(ME.message) |
---|
389 | disp_uvmat('ERROR', ['error reading input image: ' ME.message],checkrun) |
---|
390 | return |
---|
391 | end |
---|
392 | end |
---|
393 | par_civ1.ImageWidth=size(par_civ1.ImageA,2);%FileInfo_A.Width; |
---|
394 | par_civ1.ImageHeight=size(par_civ1.ImageA,1);%FileInfo_A.Height; |
---|
395 | list_param=(fieldnames(Param.ActionInput.Civ1))'; |
---|
396 | list_param(strcmp('TestCiv1',list_param))=[];% remove the parameter TestCiv1 from the list |
---|
397 | Civ1_param=regexprep(list_param,'^.+','Civ1_$0');% insert 'Civ1_' before each string in list_param |
---|
398 | Civ1_param=[{'Civ1_ImageA','Civ1_ImageB','Civ1_Time','Civ1_Dt'} Civ1_param]; %insert the names of the two input images |
---|
399 | %indicate the values of all the global attributes in the output data |
---|
400 | Data.Civ1_ImageA=ImageName_A; |
---|
401 | Data.Civ1_ImageB=ImageName_B; |
---|
402 | i1=i1_series_Civ1(ifield); |
---|
403 | i2=i1; |
---|
404 | if ~isempty(i2_series_Civ1) |
---|
405 | i2=i2_series_Civ1(ifield); |
---|
406 | end |
---|
407 | j1=1; |
---|
408 | if ~isempty(j1_series_Civ1) |
---|
409 | j1=j1_series_Civ1(ifield); |
---|
410 | end |
---|
411 | j2=j1; |
---|
412 | if ~isempty(j2_series_Civ1) |
---|
413 | j2=j2_series_Civ1(ifield); |
---|
414 | end |
---|
415 | if strcmp(Param.ActionInput.ListCompareMode,'displacement') |
---|
416 | Data.Civ1_Time=time(i2+1,j2+1);% the time is the time of the secodn image |
---|
417 | Data.Civ1_Dt=1;% time interval is 1, to yield displacement instead of velocity=displacement/Dt at reading |
---|
418 | else |
---|
419 | Data.Civ1_Time=(time(i2+1,j2+1)+time(i1+1,j1+1))/2;% the time is the time at the middle of the image pair |
---|
420 | Data.Civ1_Dt=time(i2+1,j2+1)-time(i1+1,j1+1); |
---|
421 | end |
---|
422 | for ilist=1:length(list_param) |
---|
423 | Data.(Civ1_param{4+ilist})=Param.ActionInput.Civ1.(list_param{ilist}); |
---|
424 | end |
---|
425 | Data.ListGlobalAttribute=[ListGlobalAttribute Civ1_param]; |
---|
426 | Data.CivStage=1; |
---|
427 | end |
---|
428 | % set the list of variables |
---|
429 | Data.ListVarName={'Civ1_X','Civ1_Y','Civ1_U','Civ1_V','Civ1_F','Civ1_C'};% cell array containing the names of the fields to record |
---|
430 | Data.VarDimName={'nb_vec_1','nb_vec_1','nb_vec_1','nb_vec_1','nb_vec_1','nb_vec_1'}; |
---|
431 | Data.VarAttribute{1}.Role='coord_x'; |
---|
432 | Data.VarAttribute{2}.Role='coord_y'; |
---|
433 | Data.VarAttribute{3}.Role='vector_x'; |
---|
434 | Data.VarAttribute{4}.Role='vector_y'; |
---|
435 | Data.VarAttribute{5}.Role='warnflag'; |
---|
436 | if par_civ1.CheckMask&&~isempty(par_civ1.Mask) |
---|
437 | if strcmp(maskname,par_civ1.Mask)% mask exist, not already read in civ1 |
---|
438 | par_civ1.Mask=mask; %use mask already opened |
---|
439 | else |
---|
440 | try |
---|
441 | par_civ1.Mask=imread(par_civ1.Mask);%update the mask, an store it for future use |
---|
442 | catch ME |
---|
443 | if ~isempty(ME.message) |
---|
444 | errormsg=['error reading input image: ' ME.message]; |
---|
445 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
446 | return |
---|
447 | end |
---|
448 | end |
---|
449 | mask=par_civ1.Mask; |
---|
450 | maskname=par_civ1.Mask; |
---|
451 | end |
---|
452 | end |
---|
453 | if strcmp(Param.ActionInput.ListCompareMode, 'PIV volume') |
---|
454 | Data.ListVarName=[Data.ListVarName 'Civ1_Z']; |
---|
455 | Data.Civ1_X=[];Data.Civ1_Y=[];Data.Civ1_Z=[]; |
---|
456 | Data.Civ1_U=[];Data.Civ1_V=[];Data.Civ1_C=[];Data.Civ1_F=[]; |
---|
457 | for ivol=1:NbSlice |
---|
458 | % caluclate velocity data (y and v in indices, reverse to y component) |
---|
459 | [xtable, ytable, utable, vtable, ctable, F, result_conv, errormsg] = civ (par_civ1); |
---|
460 | if ~isempty(errormsg) |
---|
461 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
462 | return |
---|
463 | end |
---|
464 | Data.Civ1_X=[Data.Civ1_X reshape(xtable,[],1)]; |
---|
465 | Data.Civ1_Y=[Data.Civ1_Y reshape(Param.Civ1.ImageHeight-ytable+1,[],1)]; |
---|
466 | Data.Civ1_Z=[Data.Civ1_Z ivol*ones(numel(xtable),1)];% z=image index in image coordinates |
---|
467 | Data.Civ1_U=[Data.Civ1_U reshape(utable,[],1)]; |
---|
468 | Data.Civ1_V=[Data.Civ1_V reshape(-vtable,[],1)]; |
---|
469 | Data.Civ1_C=[Data.Civ1_C reshape(ctable,[],1)]; |
---|
470 | Data.Civ1_F=[Data.Civ1_C reshape(F,[],1)]; |
---|
471 | end |
---|
472 | else %usual PIV |
---|
473 | % caluclate velocity data (y and v in indices, reverse to y component) |
---|
474 | [xtable, ytable, utable, vtable, ctable, F, result_conv, errormsg] = civ (par_civ1); |
---|
475 | if ~isempty(errormsg) |
---|
476 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
477 | return |
---|
478 | end |
---|
479 | Data.Civ1_X=reshape(xtable,[],1); |
---|
480 | Data.Civ1_Y=reshape(par_civ1.ImageHeight-ytable+1,[],1); |
---|
481 | Data.Civ1_U=reshape(utable,[],1); |
---|
482 | Data.Civ1_V=reshape(-vtable,[],1); |
---|
483 | Data.Civ1_C=reshape(ctable,[],1); |
---|
484 | Data.Civ1_F=reshape(F,[],1); |
---|
485 | end |
---|
486 | else% we use existing Civ1 data |
---|
487 | if exist('ncfile','var') |
---|
488 | CivFile=ncfile; |
---|
489 | [Data,tild,tild,errormsg]=nc2struct(CivFile,'ListGlobalAttribute','absolut_time_T0'); %look for the constant 'absolut_time_T0' to detect old civx data format |
---|
490 | if ~isempty(errormsg) |
---|
491 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
492 | return |
---|
493 | end |
---|
494 | [Data,tild,tild,errormsg]=nc2struct(CivFile);%read civ1 and fix1 data in the existing netcdf file |
---|
495 | elseif isfield(Param,'Civ1_X') |
---|
496 | Data.ListGlobalAttribute={}; |
---|
497 | Data.ListVarName={}; |
---|
498 | Data.VarDimName={}; |
---|
499 | Data.Civ1_X=Param.Civ1_X; |
---|
500 | Data.Civ1_Y=Param.Civ1_Y; |
---|
501 | Data.Civ1_U=Param.Civ1_U; |
---|
502 | Data.Civ1_V=Param.Civ1_V; |
---|
503 | Data.Civ1_FF=Param.Civ1_FF; |
---|
504 | end |
---|
505 | end |
---|
506 | |
---|
507 | %% Fix1 |
---|
508 | if isfield (Param.ActionInput,'Fix1') |
---|
509 | disp('fix1 started') |
---|
510 | if ~isfield (Param.ActionInput,'Civ1')% if we use existing Civ1, remove previous data beyond Civ1 |
---|
511 | Fix1_attr=find(strcmp('Fix1',Data.ListGlobalAttribute)); |
---|
512 | Data.ListGlobalAttribute(Fix1_attr)=[]; |
---|
513 | for ilist=1:numel(Fix1_attr) |
---|
514 | Data=rmfield(Data,Data.ListGlobalAttribute{Fix1_attr(ilist)}); |
---|
515 | end |
---|
516 | end |
---|
517 | list_param=fieldnames(Param.ActionInput.Fix1)'; |
---|
518 | Fix1_param=regexprep(list_param,'^.+','Fix1_$0');% insert 'Fix1_' before each string in ListFixParam |
---|
519 | %indicate the values of all the global attributes in the output data |
---|
520 | for ilist=1:length(list_param) |
---|
521 | Data.(Fix1_param{ilist})=Param.ActionInput.Fix1.(list_param{ilist}); |
---|
522 | end |
---|
523 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Fix1_param]; |
---|
524 | Data.ListVarName=[Data.ListVarName {'Civ1_FF'}]; |
---|
525 | Data.VarDimName=[Data.VarDimName {'nb_vec_1'}]; |
---|
526 | nbvar=length(Data.ListVarName); |
---|
527 | Data.VarAttribute{nbvar}.Role='errorflag'; |
---|
528 | Data.Civ1_FF=fix(Param.ActionInput.Fix1,Data.Civ1_F,Data.Civ1_C,Data.Civ1_U,Data.Civ1_V); |
---|
529 | Data.CivStage=2; |
---|
530 | end |
---|
531 | %% Patch1 |
---|
532 | if isfield (Param.ActionInput,'Patch1') |
---|
533 | disp('patch1 started') |
---|
534 | if check_civx |
---|
535 | errormsg='Civ Matlab input needed for patch'; |
---|
536 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
537 | return |
---|
538 | end |
---|
539 | |
---|
540 | % record the processing parameters of Patch1 as global attributes in the result nc file |
---|
541 | list_param=fieldnames(Param.ActionInput.Patch1)'; |
---|
542 | list_param(strcmp('TestPatch1',list_param))=[];% remove 'TestPatch1' from the list of parameters |
---|
543 | Patch1_param=regexprep(list_param,'^.+','Patch1_$0');% insert 'Patch1_' before each parameter name |
---|
544 | for ilist=1:length(list_param) |
---|
545 | Data.(Patch1_param{ilist})=Param.ActionInput.Patch1.(list_param{ilist}); |
---|
546 | end |
---|
547 | Data.CivStage=3;% record the new state of processing |
---|
548 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Patch1_param]; |
---|
549 | |
---|
550 | % list the variables to record |
---|
551 | nbvar=length(Data.ListVarName); |
---|
552 | Data.ListVarName=[Data.ListVarName {'Civ1_U_smooth','Civ1_V_smooth','Civ1_SubRange','Civ1_NbCentres','Civ1_Coord_tps','Civ1_U_tps','Civ1_V_tps'}]; |
---|
553 | Data.VarDimName=[Data.VarDimName {'nb_vec_1','nb_vec_1',{'nb_coord','nb_bounds','nb_subdomain_1'},'nb_subdomain_1',... |
---|
554 | {'nb_tps_1','nb_coord','nb_subdomain_1'},{'nb_tps_1','nb_subdomain_1'},{'nb_tps_1','nb_subdomain_1'}}]; |
---|
555 | Data.VarAttribute{nbvar+1}.Role='vector_x'; |
---|
556 | Data.VarAttribute{nbvar+2}.Role='vector_y'; |
---|
557 | Data.VarAttribute{nbvar+5}.Role='coord_tps'; |
---|
558 | Data.VarAttribute{nbvar+6}.Role='vector_x'; |
---|
559 | Data.VarAttribute{nbvar+7}.Role='vector_y'; |
---|
560 | Data.Civ1_U_smooth=Data.Civ1_U; % zeros(size(Data.Civ1_X)); |
---|
561 | Data.Civ1_V_smooth=Data.Civ1_V; %zeros(size(Data.Civ1_X)); |
---|
562 | if isfield(Data,'Civ1_FF') |
---|
563 | ind_good=find(Data.Civ1_FF==0); |
---|
564 | else |
---|
565 | ind_good=1:numel(Data.Civ1_X); |
---|
566 | end |
---|
567 | |
---|
568 | % perform Patch calculation using the UVMAT fct 'filter_tps' |
---|
569 | [Data.Civ1_SubRange,Data.Civ1_NbCentres,Data.Civ1_Coord_tps,Data.Civ1_U_tps,Data.Civ1_V_tps,tild,Ures, Vres,tild,FFres]=... |
---|
570 | filter_tps([Data.Civ1_X(ind_good) Data.Civ1_Y(ind_good)],Data.Civ1_U(ind_good),Data.Civ1_V(ind_good),[],Data.Patch1_SubDomainSize,Data.Patch1_FieldSmooth,Data.Patch1_MaxDiff); |
---|
571 | Data.Civ1_U_smooth(ind_good)=Ures;% take the interpolated (smoothed) velocity values for good vectors, keep 0 for the others |
---|
572 | Data.Civ1_V_smooth(ind_good)=Vres; |
---|
573 | Data.Civ1_FF(ind_good)=FFres; |
---|
574 | disp('patch1 performed') |
---|
575 | end |
---|
576 | |
---|
577 | %% Civ2 |
---|
578 | if isfield (Param.ActionInput,'Civ2') |
---|
579 | disp('civ2 started') |
---|
580 | par_civ2=Param.ActionInput.Civ2; |
---|
581 | if CheckInputFile % read input images (except in mode Test where it is introduced directly in Param.ActionInput.Civ1.ImageNameA and B) |
---|
582 | par_civ2.ImageA=[]; |
---|
583 | par_civ2.ImageB=[]; |
---|
584 | i1=i1_series_Civ2(ifield); |
---|
585 | i2=i1; |
---|
586 | if ~isempty(i2_series_Civ2) |
---|
587 | i2=i2_series_Civ2(ifield); |
---|
588 | end |
---|
589 | j1=1; |
---|
590 | if ~isempty(j1_series_Civ2) |
---|
591 | j1=j1_series_Civ2(ifield); |
---|
592 | end |
---|
593 | j2=j1; |
---|
594 | if ~isempty(j2_series_Civ2) |
---|
595 | j2=j2_series_Civ2(ifield); |
---|
596 | end |
---|
597 | ImageName_A_Civ2=fullfile_uvmat(RootPath_A,SubDir_A,RootFile_A,FileExt_A,NomType_A,i1,[],j1); |
---|
598 | |
---|
599 | if strcmp(ImageName_A_Civ2,ImageName_A) && isequal(FrameIndex_A_Civ1(ifield),FrameIndex_A_Civ2(ifield)) |
---|
600 | par_civ2.ImageA=par_civ1.ImageA; |
---|
601 | else |
---|
602 | [par_civ2.ImageA,VideoObject_A] = read_image(ImageName_A_Civ2,FileType_A,VideoObject_A,FrameIndex_A_Civ2(ifield)); |
---|
603 | end |
---|
604 | ImageName_B_Civ2=fullfile_uvmat(RootPath_B,SubDir_B,RootFile_B,FileExt_B,NomType_B,i2,[],j2); |
---|
605 | if strcmp(ImageName_B_Civ2,ImageName_B) && isequal(FrameIndex_B_Civ1(ifield),FrameIndex_B_Civ2) |
---|
606 | par_civ2.ImageB=par_civ1.ImageB; |
---|
607 | else |
---|
608 | [par_civ2.ImageB,VideoObject_B] = read_image(ImageName_B_Civ2,FileType_B,VideoObject_B,FrameIndex_B_Civ2(ifield)); |
---|
609 | end |
---|
610 | if strcmp(Param.ActionInput.ListCompareMode,'PIV') |
---|
611 | ncfile=fullfile_uvmat(RootPath_A,OutputDir,RootFile_A,'.nc',NomTypeNc,i1,i2,j1,j2); |
---|
612 | else % displacement |
---|
613 | ncfile=fullfile_uvmat(RootPath_A,OutputDir,RootFile_A,'.nc',NomTypeNc,i2,[],j2); |
---|
614 | end |
---|
615 | par_civ2.ImageWidth=FileInfo_A.Width; |
---|
616 | par_civ2.ImageHeight=FileInfo_A.Height; |
---|
617 | if isfield(par_civ2,'Grid')% grid points set as input file |
---|
618 | if ischar(par_civ2.Grid)%read the grid file if the input is a file name |
---|
619 | par_civ2.Grid=dlmread(par_civ2.Grid); |
---|
620 | par_civ2.Grid(1,:)=[];%the first line must be removed (heading in the grid file) |
---|
621 | end |
---|
622 | else% automatic grid |
---|
623 | minix=floor(par_civ2.Dx/2)-0.5; |
---|
624 | maxix=minix+par_civ2.Dx*floor((par_civ2.ImageWidth-1)/par_civ2.Dx); |
---|
625 | miniy=floor(par_civ2.Dy/2)-0.5; |
---|
626 | maxiy=minix+par_civ2.Dy*floor((par_civ2.ImageHeight-1)/par_civ2.Dy); |
---|
627 | [GridX,GridY]=meshgrid(minix:par_civ2.Dx:maxix,miniy:par_civ2.Dy:maxiy); |
---|
628 | par_civ2.Grid(:,1)=reshape(GridX,[],1); |
---|
629 | par_civ2.Grid(:,2)=reshape(GridY,[],1); |
---|
630 | end |
---|
631 | end |
---|
632 | |
---|
633 | % get the guess from patch1 or patch2 (case 'CheckCiv3') |
---|
634 | if CheckInputFile % read input images (except in mode Test where it is introduced directly in Param.ActionInput.Civ1.ImageNameA and B) |
---|
635 | if isfield (par_civ2,'CheckCiv3') && par_civ2.CheckCiv3 %get the guess from patch2 |
---|
636 | SubRange= Data.Civ2_SubRange; |
---|
637 | NbCentres=Data.Civ2_NbCentres; |
---|
638 | Coord_tps=Data.Civ2_Coord_tps; |
---|
639 | U_tps=Data.Civ2_U_tps; |
---|
640 | V_tps=Data.Civ2_V_tps; |
---|
641 | CivStage=Data.CivStage;%store the current CivStage |
---|
642 | Civ1_Dt=Data.Civ2_Dt; |
---|
643 | Data=[];%reinitialise the result structure Data |
---|
644 | Data.ListGlobalAttribute={'Conventions','Program','CivStage'}; |
---|
645 | Data.Conventions='uvmat/civdata';% states the conventions used for the description of field variables and attributes |
---|
646 | Data.Program='civ_series'; |
---|
647 | Data.CivStage=CivStage+1;%update the current civStage after reinitialisation of Data |
---|
648 | Data.ListVarName={}; |
---|
649 | Data.VarDimName={}; |
---|
650 | else % get the guess from patch1 |
---|
651 | SubRange= Data.Civ1_SubRange; |
---|
652 | NbCentres=Data.Civ1_NbCentres; |
---|
653 | Coord_tps=Data.Civ1_Coord_tps; |
---|
654 | U_tps=Data.Civ1_U_tps; |
---|
655 | V_tps=Data.Civ1_V_tps; |
---|
656 | Civ1_Dt=Data.Civ1_Dt; |
---|
657 | Data.CivStage=4; |
---|
658 | end |
---|
659 | else |
---|
660 | SubRange= par_civ2.Civ1_SubRange; |
---|
661 | NbCentres=par_civ2.Civ1_NbCentres; |
---|
662 | Coord_tps=par_civ2.Civ1_Coord_tps; |
---|
663 | U_tps=par_civ2.Civ1_U_tps; |
---|
664 | V_tps=par_civ2.Civ1_V_tps; |
---|
665 | Civ1_Dt=par_civ2.Civ1_Dt; |
---|
666 | Civ2_Dt=par_civ2.Civ1_Dt; |
---|
667 | Data.ListVarName={}; |
---|
668 | Data.VarDimName={}; |
---|
669 | end |
---|
670 | Shiftx=zeros(size(par_civ2.Grid,1),1);% shift expected from civ1 data |
---|
671 | Shifty=zeros(size(par_civ2.Grid,1),1); |
---|
672 | nbval=zeros(size(par_civ2.Grid,1),1);% nbre of interpolated values at each grid point (from the different patch subdomains) |
---|
673 | if par_civ2.CheckDeformation |
---|
674 | DUDX=zeros(size(par_civ2.Grid,1),1); |
---|
675 | DUDY=zeros(size(par_civ2.Grid,1),1); |
---|
676 | DVDX=zeros(size(par_civ2.Grid,1),1); |
---|
677 | DVDY=zeros(size(par_civ2.Grid,1),1); |
---|
678 | end |
---|
679 | NbSubDomain=size(SubRange,3); |
---|
680 | for isub=1:NbSubDomain% for each sub-domain of Patch1 |
---|
681 | nbvec_sub=NbCentres(isub);% nbre of Civ vectors in the subdomain |
---|
682 | ind_sel=find(par_civ2.Grid(:,1)>=SubRange(1,1,isub) & par_civ2.Grid(:,1)<=SubRange(1,2,isub) &... |
---|
683 | par_civ2.Grid(:,2)>=SubRange(2,1,isub) & par_civ2.Grid(:,2)<=SubRange(2,2,isub));% grid points in the subdomain |
---|
684 | if ~isempty(ind_sel) |
---|
685 | epoints = par_civ2.Grid(ind_sel,:);% coordinates of interpolation sites (measurement grids) |
---|
686 | ctrs=Coord_tps(1:nbvec_sub,:,isub) ;%(=initial points) ctrs |
---|
687 | nbval(ind_sel)=nbval(ind_sel)+1;% records the number of values for each interpolation point (in case of subdomain overlap) |
---|
688 | EM = tps_eval(epoints,ctrs);% thin plate spline (tps) coefficient |
---|
689 | Shiftx(ind_sel)=Shiftx(ind_sel)+EM*U_tps(1:nbvec_sub+3,isub);%velocity shift estimated by tps from civ1 |
---|
690 | Shifty(ind_sel)=Shifty(ind_sel)+EM*V_tps(1:nbvec_sub+3,isub); |
---|
691 | if par_civ2.CheckDeformation |
---|
692 | [EMDX,EMDY] = tps_eval_dxy(epoints,ctrs);%2D matrix of distances between extrapolation points epoints and spline centres (=site points) ctrs |
---|
693 | DUDX(ind_sel)=DUDX(ind_sel)+EMDX*U_tps(1:nbvec_sub+3,isub); |
---|
694 | DUDY(ind_sel)=DUDY(ind_sel)+EMDY*U_tps(1:nbvec_sub+3,isub); |
---|
695 | DVDX(ind_sel)=DVDX(ind_sel)+EMDX*V_tps(1:nbvec_sub+3,isub); |
---|
696 | DVDY(ind_sel)=DVDY(ind_sel)+EMDY*V_tps(1:nbvec_sub+3,isub); |
---|
697 | end |
---|
698 | end |
---|
699 | end |
---|
700 | if par_civ2.CheckMask&&~isempty(par_civ2.Mask) |
---|
701 | if strcmp(maskname,par_civ2.Mask)% mask exist, not already read in civ1 |
---|
702 | par_civ2.Mask=mask; %use mask already opened |
---|
703 | else |
---|
704 | par_civ2.Mask=imread(par_civ2.Mask);%update the mask, and store it for future use |
---|
705 | mask=par_civ2.Mask; |
---|
706 | maskname=par_civ2.Mask; |
---|
707 | end |
---|
708 | end |
---|
709 | if CheckInputFile % else Dt given by par_civ2 |
---|
710 | if strcmp(Param.ActionInput.ListCompareMode,'displacement') |
---|
711 | Civ1_Dt=1; |
---|
712 | Civ2_Dt=1; |
---|
713 | else |
---|
714 | Civ2_Dt=time(i2+1,j2+1)-time(i1+1,j1+1); |
---|
715 | end |
---|
716 | end |
---|
717 | par_civ2.SearchBoxShift=(Civ2_Dt/Civ1_Dt)*[Shiftx(nbval>=1)./nbval(nbval>=1) Shifty(nbval>=1)./nbval(nbval>=1)]; |
---|
718 | % shift the grid points by half the expected shift to provide the correlation box position in image A |
---|
719 | par_civ2.Grid=[par_civ2.Grid(nbval>=1,1)-par_civ2.SearchBoxShift(:,1)/2 par_civ2.Grid(nbval>=1,2)-par_civ2.SearchBoxShift(:,2)/2]; |
---|
720 | if par_civ2.CheckDeformation |
---|
721 | par_civ2.DUDX=DUDX(nbval>=1)./nbval(nbval>=1); |
---|
722 | par_civ2.DUDY=DUDY(nbval>=1)./nbval(nbval>=1); |
---|
723 | par_civ2.DVDX=DVDX(nbval>=1)./nbval(nbval>=1); |
---|
724 | par_civ2.DVDY=DVDY(nbval>=1)./nbval(nbval>=1); |
---|
725 | end |
---|
726 | |
---|
727 | % calculate velocity data (y and v in image indices, reverse to y component) |
---|
728 | [xtable, ytable, utable, vtable, ctable, F,result_conv,errormsg] = civ (par_civ2); |
---|
729 | |
---|
730 | list_param=(fieldnames(Param.ActionInput.Civ2))'; |
---|
731 | list_param(strcmp('TestCiv2',list_param))=[];% remove the parameter TestCiv2 from the list |
---|
732 | Civ2_param=regexprep(list_param,'^.+','Civ2_$0');% insert 'Civ2_' before each string in list_param |
---|
733 | Civ2_param=[{'Civ2_ImageA','Civ2_ImageB','Civ2_Time','Civ2_Dt'} Civ2_param]; %insert the names of the two input images |
---|
734 | %indicate the values of all the global attributes in the output data |
---|
735 | if exist('ImageName_A','var') |
---|
736 | Data.Civ2_ImageA=ImageName_A; |
---|
737 | Data.Civ2_ImageB=ImageName_B; |
---|
738 | if strcmp(Param.ActionInput.ListCompareMode,'displacement') |
---|
739 | Data.Civ2_Time=time(i2+1,j2+1);% the time is the time of the secodn image |
---|
740 | Data.Civ2_Dt=1;% time interval is 1, to yield displacement instead of velocity=displacement/Dt at reading |
---|
741 | else |
---|
742 | Data.Civ2_Time=(time(i2+1,j2+1)+time(i1+1,j1+1))/2; |
---|
743 | Data.Civ2_Dt=Civ2_Dt; |
---|
744 | end |
---|
745 | end |
---|
746 | for ilist=1:length(list_param) |
---|
747 | Data.(Civ2_param{4+ilist})=Param.ActionInput.Civ2.(list_param{ilist}); |
---|
748 | end |
---|
749 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Civ2_param]; |
---|
750 | |
---|
751 | nbvar=numel(Data.ListVarName); |
---|
752 | % define the Civ2 variable (if Civ2 data are not replaced from previous calculation) |
---|
753 | if isempty(find(strcmp('Civ2_X',Data.ListVarName),1)) |
---|
754 | Data.ListVarName=[Data.ListVarName {'Civ2_X','Civ2_Y','Civ2_U','Civ2_V','Civ2_F','Civ2_C'}];% cell array containing the names of the fields to record |
---|
755 | Data.VarDimName=[Data.VarDimName {'nb_vec_2','nb_vec_2','nb_vec_2','nb_vec_2','nb_vec_2','nb_vec_2'}]; |
---|
756 | Data.VarAttribute{nbvar+1}.Role='coord_x'; |
---|
757 | Data.VarAttribute{nbvar+2}.Role='coord_y'; |
---|
758 | Data.VarAttribute{nbvar+3}.Role='vector_x'; |
---|
759 | Data.VarAttribute{nbvar+4}.Role='vector_y'; |
---|
760 | Data.VarAttribute{nbvar+5}.Role='warnflag'; |
---|
761 | end |
---|
762 | Data.Civ2_X=reshape(xtable,[],1); |
---|
763 | Data.Civ2_Y=reshape(size(par_civ2.ImageA,1)-ytable+1,[],1); |
---|
764 | Data.Civ2_U=reshape(utable,[],1); |
---|
765 | Data.Civ2_V=reshape(-vtable,[],1); |
---|
766 | Data.Civ2_C=reshape(ctable,[],1); |
---|
767 | Data.Civ2_F=reshape(F,[],1); |
---|
768 | disp('civ2 performed') |
---|
769 | elseif ~isfield(Data,'ListVarName') % we start there, using existing Civ2 data |
---|
770 | if exist('ncfile','var') |
---|
771 | CivFile=ncfile; |
---|
772 | [Data,tild,tild,errormsg]=nc2struct(CivFile);%read civ1 and fix1 data in the existing netcdf file |
---|
773 | if ~isempty(errormsg) |
---|
774 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
775 | return |
---|
776 | end |
---|
777 | elseif isfield(Param,'Civ2_X')% use Civ2 data as input in Param (test mode) |
---|
778 | Data.ListGlobalAttribute={}; |
---|
779 | Data.ListVarName={}; |
---|
780 | Data.VarDimName={}; |
---|
781 | Data.Civ2_X=Param.Civ2_X; |
---|
782 | Data.Civ2_Y=Param.Civ2_Y; |
---|
783 | Data.Civ2_U=Param.Civ2_U; |
---|
784 | Data.Civ2_V=Param.Civ2_V; |
---|
785 | Data.Civ2_FF=Param.Civ2_FF; |
---|
786 | end |
---|
787 | end |
---|
788 | |
---|
789 | %% Fix2 |
---|
790 | if isfield (Param.ActionInput,'Fix2') |
---|
791 | disp('fix2 started') |
---|
792 | list_param=fieldnames(Param.ActionInput.Fix2)'; |
---|
793 | Fix2_param=regexprep(list_param,'^.+','Fix2_$0');% insert 'Fix1_' before each string in ListFixParam |
---|
794 | %indicate the values of all the global attributes in the output data |
---|
795 | for ilist=1:length(list_param) |
---|
796 | Data.(Fix2_param{ilist})=Param.ActionInput.Fix2.(list_param{ilist}); |
---|
797 | end |
---|
798 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Fix2_param]; |
---|
799 | % |
---|
800 | % ListFixParam=fieldnames(Param.ActionInput.Fix2); |
---|
801 | % for ilist=1:length(ListFixParam) |
---|
802 | % ParamName=ListFixParam{ilist}; |
---|
803 | % ListName=['Fix2_' ParamName]; |
---|
804 | % eval(['Data.ListGlobalAttribute=[Data.ListGlobalAttribute ''' ParamName '''];']) |
---|
805 | % eval(['Data.' ListName '=Param.ActionInput.Fix2.' ParamName ';']) |
---|
806 | % end |
---|
807 | if check_civx |
---|
808 | if ~isfield(Data,'fix2') |
---|
809 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute 'fix2']; |
---|
810 | Data.fix2=1; |
---|
811 | Data.ListVarName=[Data.ListVarName {'vec2_FixFlag'}]; |
---|
812 | Data.VarDimName=[Data.VarDimName {'nb_vectors2'}]; |
---|
813 | end |
---|
814 | Data.vec_FixFlag=fix(Param.Fix2,Data.vec2_F,Data.vec2_C,Data.vec2_U,Data.vec2_V,Data.vec2_X,Data.vec2_Y); |
---|
815 | else |
---|
816 | Data.ListVarName=[Data.ListVarName {'Civ2_FF'}]; |
---|
817 | Data.VarDimName=[Data.VarDimName {'nb_vec_2'}]; |
---|
818 | nbvar=length(Data.ListVarName); |
---|
819 | Data.VarAttribute{nbvar}.Role='errorflag'; |
---|
820 | Data.Civ2_FF=double(fix(Param.ActionInput.Fix2,Data.Civ2_F,Data.Civ2_C,Data.Civ2_U,Data.Civ2_V)); |
---|
821 | Data.CivStage=Data.CivStage+1; |
---|
822 | end |
---|
823 | end |
---|
824 | |
---|
825 | %% Patch2 |
---|
826 | if isfield (Param.ActionInput,'Patch2') |
---|
827 | disp('patch2 started') |
---|
828 | list_param=fieldnames(Param.ActionInput.Patch2)'; |
---|
829 | list_param(strcmp('TestPatch2',list_param))=[];% remove the parameter TestCiv1 from the list |
---|
830 | Patch2_param=regexprep(list_param,'^.+','Patch2_$0');% insert 'Fix1_' before each string in ListFixParam |
---|
831 | %indicate the values of all the global attributes in the output data |
---|
832 | for ilist=1:length(list_param) |
---|
833 | Data.(Patch2_param{ilist})=Param.ActionInput.Patch2.(list_param{ilist}); |
---|
834 | end |
---|
835 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Patch2_param]; |
---|
836 | |
---|
837 | nbvar=length(Data.ListVarName); |
---|
838 | Data.ListVarName=[Data.ListVarName {'Civ2_U_smooth','Civ2_V_smooth','Civ2_SubRange','Civ2_NbCentres','Civ2_Coord_tps','Civ2_U_tps','Civ2_V_tps'}]; |
---|
839 | Data.VarDimName=[Data.VarDimName {'nb_vec_2','nb_vec_2',{'nb_coord','nb_bounds','nb_subdomain_2'},{'nb_subdomain_2'},... |
---|
840 | {'nb_tps_2','nb_coord','nb_subdomain_2'},{'nb_tps_2','nb_subdomain_2'},{'nb_tps_2','nb_subdomain_2'}}]; |
---|
841 | |
---|
842 | Data.VarAttribute{nbvar+1}.Role='vector_x'; |
---|
843 | Data.VarAttribute{nbvar+2}.Role='vector_y'; |
---|
844 | Data.VarAttribute{nbvar+5}.Role='coord_tps'; |
---|
845 | Data.VarAttribute{nbvar+6}.Role='vector_x'; |
---|
846 | Data.VarAttribute{nbvar+7}.Role='vector_y'; |
---|
847 | Data.Civ2_U_smooth=Data.Civ2_U; % zeros(size(Data.Civ2_X)); |
---|
848 | Data.Civ2_V_smooth=Data.Civ2_V; %zeros(size(Data.Civ2_X)); |
---|
849 | if isfield(Data,'Civ2_FF') |
---|
850 | ind_good=find(Data.Civ2_FF==0); |
---|
851 | else |
---|
852 | ind_good=1:numel(Data.Civ2_X); |
---|
853 | end |
---|
854 | [Data.Civ2_SubRange,Data.Civ2_NbCentres,Data.Civ2_Coord_tps,Data.Civ2_U_tps,Data.Civ2_V_tps,tild,Ures, Vres,tild,FFres]=... |
---|
855 | filter_tps([Data.Civ2_X(ind_good) Data.Civ2_Y(ind_good)],Data.Civ2_U(ind_good),Data.Civ2_V(ind_good),[],Data.Patch2_SubDomainSize,Data.Patch2_FieldSmooth,Data.Patch2_MaxDiff); |
---|
856 | Data.Civ2_U_smooth(ind_good)=Ures; |
---|
857 | Data.Civ2_V_smooth(ind_good)=Vres; |
---|
858 | Data.Civ2_FF(ind_good)=FFres; |
---|
859 | Data.CivStage=Data.CivStage+1; |
---|
860 | disp('patch2 performed') |
---|
861 | end |
---|
862 | |
---|
863 | %% write result in a netcdf file if requested |
---|
864 | if CheckOutputFile |
---|
865 | errormsg=struct2nc(ncfile,Data); |
---|
866 | if isempty(errormsg) |
---|
867 | disp([ncfile ' written']) |
---|
868 | else |
---|
869 | disp(errormsg) |
---|
870 | end |
---|
871 | disp(['ellapsed time ' num2str(toc/60,2) ' minutes']) |
---|
872 | end |
---|
873 | end |
---|
874 | |
---|
875 | |
---|
876 | % 'civ': function piv.m adapted from PIVlab http://pivlab.blogspot.com/ |
---|
877 | %-------------------------------------------------------------------------- |
---|
878 | % function [xtable ytable utable vtable typevector] = civ (image1,image2,ibx,iby step, subpixfinder, mask, roi) |
---|
879 | % |
---|
880 | % OUTPUT: |
---|
881 | % xtable: set of x coordinates |
---|
882 | % ytable: set of y coordiantes |
---|
883 | % utable: set of u displacements (along x) |
---|
884 | % vtable: set of v displacements (along y) |
---|
885 | % ctable: max image correlation for each vector |
---|
886 | % typevector: set of flags, =1 for good, =0 for NaN vectors |
---|
887 | % |
---|
888 | %INPUT: |
---|
889 | % par_civ: structure of input parameters, with fields: |
---|
890 | % .ImageA: first image for correlation (matrix) |
---|
891 | % .ImageB: second image for correlation(matrix) |
---|
892 | % .CorrBoxSize: 1,2 vector giving the size of the correlation box in x and y |
---|
893 | % .SearchBoxSize: 1,2 vector giving the size of the search box in x and y |
---|
894 | % .SearchBoxShift: 1,2 vector or 2 column matrix (for civ2) giving the shift of the search box in x and y |
---|
895 | % .CorrSmooth: =1 or 2 determines the choice of the sub-pixel determination of the correlation max |
---|
896 | % .ImageWidth: nb of pixels of the image in x |
---|
897 | % .Dx, Dy: mesh for the PIV calculation |
---|
898 | % .Grid: grid giving the PIV calculation points (alternative to .Dx .Dy): centres of the correlation boxes in Image A |
---|
899 | % .Mask: name of a mask file or mask image matrix itself |
---|
900 | % .MinIma: thresholds for image luminosity |
---|
901 | % .MaxIma |
---|
902 | % .CheckDeformation=1 for subpixel interpolation and image deformation (linear transform) |
---|
903 | % .DUDX: matrix of deformation obtained from patch at each grid point |
---|
904 | % .DUDY |
---|
905 | % .DVDX: |
---|
906 | % .DVDY |
---|
907 | |
---|
908 | function [xtable,ytable,utable,vtable,ctable,F,result_conv,errormsg] = civ (par_civ) |
---|
909 | |
---|
910 | %% prepare measurement grid |
---|
911 | if isfield(par_civ,'Grid')% grid points set as input, central positions of the sub-images in image A |
---|
912 | if ischar(par_civ.Grid)%read the grid file if the input is a file name (grid in x, y image coordinates) |
---|
913 | par_civ.Grid=dlmread(par_civ.Grid); |
---|
914 | par_civ.Grid(1,:)=[];%the first line must be removed (heading in the grid file) |
---|
915 | end |
---|
916 | % else par_civ.Grid is already an array, no action here |
---|
917 | else% automatic grid in x, y image coordinates |
---|
918 | minix=floor(par_civ.Dx/2)-0.5; |
---|
919 | maxix=minix+par_civ.Dx*floor((par_civ.ImageWidth-1)/par_civ.Dx); |
---|
920 | miniy=floor(par_civ.Dy/2)-0.5;% first automatic grid point at half the mesh Dy |
---|
921 | maxiy=minix+par_civ.Dy*floor((par_civ.ImageHeight-1)/par_civ.Dy); |
---|
922 | [GridX,GridY]=meshgrid(minix:par_civ.Dx:maxix,miniy:par_civ.Dy:maxiy); |
---|
923 | par_civ.Grid(:,1)=reshape(GridX,[],1); |
---|
924 | par_civ.Grid(:,2)=reshape(GridY,[],1);% increases with array index |
---|
925 | end |
---|
926 | nbvec=size(par_civ.Grid,1); |
---|
927 | |
---|
928 | %% prepare correlation and search boxes |
---|
929 | ibx2=floor(par_civ.CorrBoxSize(1)/2); |
---|
930 | iby2=floor(par_civ.CorrBoxSize(2)/2); |
---|
931 | isx2=floor(par_civ.SearchBoxSize(1)/2); |
---|
932 | isy2=floor(par_civ.SearchBoxSize(2)/2); |
---|
933 | shiftx=round(par_civ.SearchBoxShift(:,1));%use the input shift estimate, rounded to the next integer value |
---|
934 | shifty=-round(par_civ.SearchBoxShift(:,2));% sign minus because image j index increases when y decreases |
---|
935 | if numel(shiftx)==1% case of a unique shift for the whole field( civ1) |
---|
936 | shiftx=shiftx*ones(nbvec,1); |
---|
937 | shifty=shifty*ones(nbvec,1); |
---|
938 | end |
---|
939 | |
---|
940 | %% Array initialisation and default output if par_civ.CorrSmooth=0 (just the grid calculated, no civ computation) |
---|
941 | xtable=round(par_civ.Grid(:,1)+0.5)-0.5; |
---|
942 | ytable=round(par_civ.ImageHeight-par_civ.Grid(:,2)+0.5)-0.5;% y index corresponding to the position in image coordiantes |
---|
943 | utable=shiftx;%zeros(nbvec,1); |
---|
944 | vtable=shifty;%zeros(nbvec,1); |
---|
945 | ctable=zeros(nbvec,1); |
---|
946 | F=zeros(nbvec,1); |
---|
947 | result_conv=[]; |
---|
948 | errormsg=''; |
---|
949 | |
---|
950 | %% prepare mask |
---|
951 | if isfield(par_civ,'Mask') && ~isempty(par_civ.Mask) |
---|
952 | if strcmp(par_civ.Mask,'all') |
---|
953 | return % get the grid only, no civ calculation |
---|
954 | elseif ischar(par_civ.Mask) |
---|
955 | par_civ.Mask=imread(par_civ.Mask);% read the mask if not allready done |
---|
956 | end |
---|
957 | end |
---|
958 | check_MinIma=isfield(par_civ,'MinIma');% test for image luminosity threshold |
---|
959 | check_MaxIma=isfield(par_civ,'MaxIma') && ~isempty(par_civ.MaxIma); |
---|
960 | |
---|
961 | par_civ.ImageA=sum(double(par_civ.ImageA),3);%sum over rgb component for color images |
---|
962 | par_civ.ImageB=sum(double(par_civ.ImageB),3); |
---|
963 | [npy_ima npx_ima]=size(par_civ.ImageA); |
---|
964 | if ~isequal(size(par_civ.ImageB),[npy_ima npx_ima]) |
---|
965 | errormsg='image pair with unequal size'; |
---|
966 | return |
---|
967 | end |
---|
968 | |
---|
969 | %% Apply mask |
---|
970 | % Convention for mask IDEAS TO IMPLEMENT ? |
---|
971 | % mask >200 : velocity calculated |
---|
972 | % 200 >=mask>150;velocity not calculated, interpolation allowed (bad spots) |
---|
973 | % 150>=mask >100: velocity not calculated, nor interpolated |
---|
974 | % 100>=mask> 20: velocity not calculated, impermeable (no flux through mask boundaries) |
---|
975 | % 20>=mask: velocity=0 |
---|
976 | checkmask=0; |
---|
977 | MinA=min(min(par_civ.ImageA)); |
---|
978 | %MinB=min(min(par_civ.ImageB)); |
---|
979 | %check_undefined=false(size(par_civ.ImageA)); |
---|
980 | if isfield(par_civ,'Mask') && ~isempty(par_civ.Mask) |
---|
981 | checkmask=1; |
---|
982 | if ~isequal(size(par_civ.Mask),[npy_ima npx_ima]) |
---|
983 | errormsg='mask must be an image with the same size as the images'; |
---|
984 | return |
---|
985 | end |
---|
986 | check_undefined=(par_civ.Mask<200 & par_civ.Mask>=20 ); |
---|
987 | % par_civ.ImageA(check_undefined)=0;% put image A to zero (i.e. the min image value) in the undefined area |
---|
988 | % par_civ.ImageB(check_undefined)=0;% put image B to zero (i.e. the min image value) in the undefined area |
---|
989 | end |
---|
990 | |
---|
991 | %% compute image correlations: MAINLOOP on velocity vectors |
---|
992 | corrmax=0; |
---|
993 | sum_square=1;% default |
---|
994 | mesh=1;% default |
---|
995 | CheckDeformation=isfield(par_civ,'CheckDeformation')&& par_civ.CheckDeformation==1; |
---|
996 | if CheckDeformation |
---|
997 | mesh=0.25;%mesh in pixels for subpixel image interpolation (x 4 in each direction) |
---|
998 | par_civ.CorrSmooth=2;% use SUBPIX2DGAUSS (take into account more points near the max) |
---|
999 | end |
---|
1000 | |
---|
1001 | if par_civ.CorrSmooth~=0 % par_civ.CorrSmooth=0 implies no civ computation (just input image and grid points given) |
---|
1002 | for ivec=1:nbvec |
---|
1003 | iref=round(par_civ.Grid(ivec,1)+0.5);% xindex on the image A for the middle of the correlation box |
---|
1004 | jref=round(par_civ.ImageHeight-par_civ.Grid(ivec,2)+0.5);% j index for the middle of the correlation box in the image A |
---|
1005 | F(ivec)=0; |
---|
1006 | subrange1_x=iref-ibx2:iref+ibx2;% x indices defining the first subimage |
---|
1007 | subrange1_y=jref-iby2:jref+iby2;% y indices defining the first subimage |
---|
1008 | subrange2_x=iref+shiftx(ivec)-isx2:iref+shiftx(ivec)+isx2;%x indices defining the second subimage |
---|
1009 | subrange2_y=jref+shifty(ivec)-isy2:jref+shifty(ivec)+isy2;%y indices defining the second subimage |
---|
1010 | image1_crop=MinA*ones(numel(subrange1_y),numel(subrange1_x));% default value=min of image A |
---|
1011 | image2_crop=MinA*ones(numel(subrange2_y),numel(subrange2_x));% default value=min of image A |
---|
1012 | check1_x=subrange1_x>=1 & subrange1_x<=par_civ.ImageWidth;% check which points in the subimage 1 are contained in the initial image 1 |
---|
1013 | check1_y=subrange1_y>=1 & subrange1_y<=par_civ.ImageHeight; |
---|
1014 | check2_x=subrange2_x>=1 & subrange2_x<=par_civ.ImageWidth;% check which points in the subimage 2 are contained in the initial image 2 |
---|
1015 | check2_y=subrange2_y>=1 & subrange2_y<=par_civ.ImageHeight; |
---|
1016 | image1_crop(check1_y,check1_x)=par_civ.ImageA(subrange1_y(check1_y),subrange1_x(check1_x));%extract a subimage (correlation box) from image A |
---|
1017 | image2_crop(check2_y,check2_x)=par_civ.ImageB(subrange2_y(check2_y),subrange2_x(check2_x));%extract a larger subimage (search box) from image B |
---|
1018 | if checkmask |
---|
1019 | mask1_crop=ones(numel(subrange1_y),numel(subrange1_x));% default value=1 for mask |
---|
1020 | mask2_crop=ones(numel(subrange2_y),numel(subrange2_x));% default value=1 for mask |
---|
1021 | mask1_crop(check1_y,check1_x)=check_undefined(subrange1_y(check1_y),subrange1_x(check1_x));%extract a mask subimage (correlation box) from image A |
---|
1022 | mask2_crop(check2_y,check2_x)=check_undefined(subrange2_y(check2_y),subrange2_x(check2_x));%extract a mask subimage (search box) from image B |
---|
1023 | sizemask=sum(sum(mask1_crop))/(numel(subrange1_y)*numel(subrange1_x));%size of the masked part relative to the correlation sub-image |
---|
1024 | if sizemask > 1/2% eliminate point if more than half of the correlation box is masked |
---|
1025 | F(ivec)=3; % |
---|
1026 | utable(ivec)=0; |
---|
1027 | vtable(ivec)=0; |
---|
1028 | else |
---|
1029 | image1_crop=image1_crop.*~mask1_crop;% put to zero the masked pixels (mask1_crop='true'=1) |
---|
1030 | image2_crop=image2_crop.*~mask2_crop; |
---|
1031 | image1_mean=mean(mean(image1_crop))/(1-sizemask); |
---|
1032 | image2_mean=mean(mean(image2_crop))/(1-sizemask); |
---|
1033 | end |
---|
1034 | else |
---|
1035 | image1_mean=mean(mean(image1_crop)); |
---|
1036 | image2_mean=mean(mean(image2_crop)); |
---|
1037 | end |
---|
1038 | %threshold on image minimum |
---|
1039 | if F(ivec)~=3 |
---|
1040 | if check_MinIma && (image1_mean < par_civ.MinIma || image2_mean < par_civ.MinIma) |
---|
1041 | F(ivec)=3; |
---|
1042 | %threshold on image maximum |
---|
1043 | elseif check_MaxIma && (image1_mean > par_civ.MaxIma || image2_mean > par_civ.MaxIma) |
---|
1044 | F(ivec)=3; |
---|
1045 | end |
---|
1046 | if F(ivec)==3 |
---|
1047 | utable(ivec)=0; |
---|
1048 | vtable(ivec)=0; |
---|
1049 | else |
---|
1050 | %mask |
---|
1051 | if checkmask |
---|
1052 | image1_crop=(image1_crop-image1_mean).*~mask1_crop;%substract the mean, put to zero the masked parts |
---|
1053 | image2_crop=(image2_crop-image2_mean).*~mask2_crop; |
---|
1054 | else |
---|
1055 | image1_crop=(image1_crop-image1_mean); |
---|
1056 | image2_crop=(image2_crop-image2_mean); |
---|
1057 | end |
---|
1058 | %deformation |
---|
1059 | if CheckDeformation |
---|
1060 | xi=(1:mesh:size(image1_crop,2)); |
---|
1061 | yi=(1:mesh:size(image1_crop,1))'; |
---|
1062 | [XI,YI]=meshgrid(xi-ceil(size(image1_crop,2)/2),yi-ceil(size(image1_crop,1)/2)); |
---|
1063 | XIant=XI-par_civ.DUDX(ivec)*XI+par_civ.DUDY(ivec)*YI+ceil(size(image1_crop,2)/2); |
---|
1064 | YIant=YI+par_civ.DVDX(ivec)*XI-par_civ.DVDY(ivec)*YI+ceil(size(image1_crop,1)/2); |
---|
1065 | image1_crop=interp2(image1_crop,XIant,YIant); |
---|
1066 | image1_crop(isnan(image1_crop))=0; |
---|
1067 | xi=(1:mesh:size(image2_crop,2)); |
---|
1068 | yi=(1:mesh:size(image2_crop,1))'; |
---|
1069 | image2_crop=interp2(image2_crop,xi,yi,'*spline'); |
---|
1070 | image2_crop(isnan(image2_crop))=0; |
---|
1071 | end |
---|
1072 | sum_square=sum(sum(image1_crop.*image1_crop)); |
---|
1073 | %reference: Oliver Pust, PIV: Direct Cross-Correlation |
---|
1074 | result_conv= conv2(image2_crop,flipdim(flipdim(image1_crop,2),1),'valid'); |
---|
1075 | corrmax= max(max(result_conv)); |
---|
1076 | result_conv=(result_conv/corrmax)*255; %normalize, peak=always 255 |
---|
1077 | %Find the correlation max, at 255 |
---|
1078 | [y,x] = find(result_conv==255,1); |
---|
1079 | subimage2_crop=image2_crop(y:y+2*iby2/mesh,x:x+2*ibx2/mesh);%subimage of image 2 corresponding to the optimum displacement of first image |
---|
1080 | sum_square=sum_square*sum(sum(subimage2_crop.*subimage2_crop));% product of variances of image 1 and 2 |
---|
1081 | sum_square=sqrt(sum_square);% srt of the variance product to normalise correlation |
---|
1082 | if ~isempty(y) && ~isempty(x) |
---|
1083 | try |
---|
1084 | if par_civ.CorrSmooth==1 |
---|
1085 | [vector,F(ivec)] = SUBPIXGAUSS (result_conv,x,y); |
---|
1086 | elseif par_civ.CorrSmooth==2 |
---|
1087 | [vector,F(ivec)] = SUBPIX2DGAUSS (result_conv,x,y); |
---|
1088 | else |
---|
1089 | [vector,F(ivec)] = quadr_fit(result_conv,x,y); |
---|
1090 | end |
---|
1091 | utable(ivec)=vector(1)*mesh+shiftx(ivec); |
---|
1092 | vtable(ivec)=vector(2)*mesh+shifty(ivec); |
---|
1093 | xtable(ivec)=iref+utable(ivec)/2-0.5;% convec flow (velocity taken at the point middle from imgae 1 and 2) |
---|
1094 | ytable(ivec)=jref+vtable(ivec)/2-0.5;% and position of pixel 1=0.5 (convention for image coordinates=0 at the edge) |
---|
1095 | iref=round(xtable(ivec)+0.5);% nearest image index for the middle of the vector |
---|
1096 | jref=round(ytable(ivec)+0.5); |
---|
1097 | % eliminate vectors located in the mask |
---|
1098 | if checkmask && (iref<1 || jref<1 ||iref>npx_ima || jref>npy_ima ||( par_civ.Mask(jref,iref)<200 && par_civ.Mask(jref,iref)>=100)) |
---|
1099 | utable(ivec)=0; |
---|
1100 | vtable(ivec)=0; |
---|
1101 | F(ivec)=3; |
---|
1102 | end |
---|
1103 | ctable(ivec)=corrmax/sum_square;% correlation value |
---|
1104 | catch ME |
---|
1105 | F(ivec)=3; |
---|
1106 | disp(ME.message) |
---|
1107 | end |
---|
1108 | else |
---|
1109 | F(ivec)=3; |
---|
1110 | end |
---|
1111 | end |
---|
1112 | end |
---|
1113 | end |
---|
1114 | end |
---|
1115 | result_conv=result_conv*corrmax/(255*sum_square);% keep the last correlation matrix for output |
---|
1116 | |
---|
1117 | %------------------------------------------------------------------------ |
---|
1118 | % --- Find the maximum of the correlation function after interpolation |
---|
1119 | % OUPUT: |
---|
1120 | % vector = optimum displacement vector with subpixel correction |
---|
1121 | % F =flag: =0 OK |
---|
1122 | % =-2 , warning: max too close to the edge of the search box (1 pixel margin) |
---|
1123 | % INPUT: |
---|
1124 | % x,y: position of the maximum correlation at integer values |
---|
1125 | |
---|
1126 | function [vector,F] = SUBPIXGAUSS (result_conv,x,y) |
---|
1127 | %------------------------------------------------------------------------ |
---|
1128 | % vector=[0 0]; %default |
---|
1129 | F=0; |
---|
1130 | [npy,npx]=size(result_conv); |
---|
1131 | result_conv(result_conv<1)=1; %set to 1 correlation values smaller than 1 (=0 by discretisation, to avoid divergence in the log) |
---|
1132 | %the following 8 lines are copyright (c) 1998, Uri Shavit, Roi Gurka, Alex Liberzon, Technion ᅵ Israel Institute of Technology |
---|
1133 | %http://urapiv.wordpress.com |
---|
1134 | peaky = y; |
---|
1135 | if y < npy && y > 1 |
---|
1136 | f0 = log(result_conv(y,x)); |
---|
1137 | f1 = log(result_conv(y-1,x)); |
---|
1138 | f2 = log(result_conv(y+1,x)); |
---|
1139 | peaky = peaky+ (f1-f2)/(2*f1-4*f0+2*f2); |
---|
1140 | else |
---|
1141 | F=-2; % warning flag for vector truncated by the limited search box |
---|
1142 | end |
---|
1143 | peakx=x; |
---|
1144 | if x < npx-1 && x > 1 |
---|
1145 | f0 = log(result_conv(y,x)); |
---|
1146 | f1 = log(result_conv(y,x-1)); |
---|
1147 | f2 = log(result_conv(y,x+1)); |
---|
1148 | peakx = peakx+ (f1-f2)/(2*f1-4*f0+2*f2); |
---|
1149 | else |
---|
1150 | F=-2; % warning flag for vector truncated by the limited search box |
---|
1151 | end |
---|
1152 | vector=[peakx-floor(npx/2)-1 peaky-floor(npy/2)-1]; |
---|
1153 | |
---|
1154 | %------------------------------------------------------------------------ |
---|
1155 | % --- Find the maximum of the correlation function after interpolation |
---|
1156 | function [vector,F] = SUBPIX2DGAUSS (result_conv,x,y) |
---|
1157 | %------------------------------------------------------------------------ |
---|
1158 | % vector=[0 0]; %default |
---|
1159 | F=-2; |
---|
1160 | peaky=y; |
---|
1161 | peakx=x; |
---|
1162 | result_conv(result_conv<1)=1; %set to 1 correlation values smaller than 1 (to avoid divergence in the log) |
---|
1163 | [npy,npx]=size(result_conv); |
---|
1164 | if (x < npx) && (y < npy) && (x > 1) && (y > 1) |
---|
1165 | F=0; |
---|
1166 | for i=-1:1 |
---|
1167 | for j=-1:1 |
---|
1168 | %following 15 lines based on |
---|
1169 | %H. Nobach ᅵ M. Honkanen (2005) |
---|
1170 | %Two-dimensional Gaussian regression for sub-pixel displacement |
---|
1171 | %estimation in particle image velocimetry or particle position |
---|
1172 | %estimation in particle tracking velocimetry |
---|
1173 | %Experiments in Fluids (2005) 38: 511ᅵ515 |
---|
1174 | c10(j+2,i+2)=i*log(result_conv(y+j, x+i)); |
---|
1175 | c01(j+2,i+2)=j*log(result_conv(y+j, x+i)); |
---|
1176 | c11(j+2,i+2)=i*j*log(result_conv(y+j, x+i)); |
---|
1177 | c20(j+2,i+2)=(3*i^2-2)*log(result_conv(y+j, x+i)); |
---|
1178 | c02(j+2,i+2)=(3*j^2-2)*log(result_conv(y+j, x+i)); |
---|
1179 | end |
---|
1180 | end |
---|
1181 | c10=(1/6)*sum(sum(c10)); |
---|
1182 | c01=(1/6)*sum(sum(c01)); |
---|
1183 | c11=(1/4)*sum(sum(c11)); |
---|
1184 | c20=(1/6)*sum(sum(c20)); |
---|
1185 | c02=(1/6)*sum(sum(c02)); |
---|
1186 | deltax=(c11*c01-2*c10*c02)/(4*c20*c02-c11^2); |
---|
1187 | deltay=(c11*c10-2*c01*c20)/(4*c20*c02-c11^2); |
---|
1188 | if abs(deltax)<1 |
---|
1189 | peakx=x+deltax; |
---|
1190 | end |
---|
1191 | if abs(deltay)<1 |
---|
1192 | peaky=y+deltay; |
---|
1193 | end |
---|
1194 | end |
---|
1195 | vector=[peakx-floor(npx/2)-1 peaky-floor(npy/2)-1]; |
---|
1196 | |
---|
1197 | %------------------------------------------------------------------------ |
---|
1198 | % --- Find the maximum of the correlation function after quadratic interpolation |
---|
1199 | function [vector,F] = quadr_fit(result_conv,x,y) |
---|
1200 | [npy,npx]=size(result_conv); |
---|
1201 | if x<4 || y<4 || npx-x<4 ||npy-y <4 |
---|
1202 | F=-2; |
---|
1203 | vector=[x y]; |
---|
1204 | else |
---|
1205 | F=0; |
---|
1206 | x_ind=x-4:x+4; |
---|
1207 | y_ind=y-4:y+4; |
---|
1208 | x_vec=0.25*(x_ind-x); |
---|
1209 | y_vec=0.25*(y_ind-y); |
---|
1210 | [X,Y]=meshgrid(x_vec,y_vec); |
---|
1211 | coord=[reshape(X,[],1) reshape(Y,[],1)]; |
---|
1212 | result_conv=reshape(result_conv(y_ind,x_ind),[],1); |
---|
1213 | |
---|
1214 | |
---|
1215 | % n=numel(X); |
---|
1216 | % x=[X Y]; |
---|
1217 | % X=X-0.5; |
---|
1218 | % Y=Y+0.5; |
---|
1219 | % y = (X.*X+2*Y.*Y+X.*Y+6) + 0.1*rand(n,1); |
---|
1220 | p = polyfitn(coord,result_conv,2); |
---|
1221 | A(1,1)=2*p.Coefficients(1); |
---|
1222 | A(1,2)=p.Coefficients(2); |
---|
1223 | A(2,1)=p.Coefficients(2); |
---|
1224 | A(2,2)=2*p.Coefficients(4); |
---|
1225 | vector=[x y]'-A\[p.Coefficients(3) p.Coefficients(5)]'; |
---|
1226 | vector=vector'-[floor(npx/2) floor(npy/2)]-1 ; |
---|
1227 | % zg = polyvaln(p,coord); |
---|
1228 | % figure |
---|
1229 | % surf(x_vec,y_vec,reshape(zg,9,9)) |
---|
1230 | % hold on |
---|
1231 | % plot3(X,Y,reshape(result_conv,9,9),'o') |
---|
1232 | % hold off |
---|
1233 | end |
---|
1234 | |
---|
1235 | %'RUN_FIX': function for fixing velocity fields: |
---|
1236 | %----------------------------------------------- |
---|
1237 | % RUN_FIX(filename,field,flagindex,thresh_vecC,thresh_vel,iter,flag_mask,maskname,fileref,fieldref) |
---|
1238 | % |
---|
1239 | %filename: name of the netcdf file (used as input and output) |
---|
1240 | %field: structure specifying the names of the fields to fix (depending on civ1 or civ2) |
---|
1241 | %.vel_type='civ1' or 'civ2'; |
---|
1242 | %.nb=name of the dimension common to the field to fix ('nb_vectors' for civ1); |
---|
1243 | %.fixflag=name of fix flag variable ('vec_FixFlag' for civ1) |
---|
1244 | %flagindex: flag specifying which values of vec_f are removed: |
---|
1245 | % if flagindex(1)=1: vec_f=-2 vectors are removed |
---|
1246 | % if flagindex(2)=1: vec_f=3 vectors are removed |
---|
1247 | % if flagindex(3)=1: vec_f=2 vectors are removed (if iter=1) or vec_f=4 vectors are removed (if iter=2) |
---|
1248 | %iter=1 for civ1 fields and iter=2 for civ2 fields |
---|
1249 | %thresh_vecC: threshold in the image correlation vec_C |
---|
1250 | %flag_mask: =1 mask used to remove vectors (0 else) |
---|
1251 | %maskname: name of the mask image file for fix |
---|
1252 | %thresh_vel: threshold on velocity, or on the difference with the reference file fileref if exists |
---|
1253 | %inf_sup=1: remove values smaller than threshold thresh_vel, =2, larger than threshold |
---|
1254 | %fileref: .nc file name for a reference velocity (='': refrence 0 used) |
---|
1255 | %fieldref: 'civ1','filter1'...feld used in fileref |
---|
1256 | |
---|
1257 | function FF=fix(Param,F,C,U,V,X,Y) |
---|
1258 | FF=zeros(size(F));%default |
---|
1259 | |
---|
1260 | %criterium on warn flags |
---|
1261 | FlagName={'CheckFmin2','CheckF2','CheckF3','CheckF4'}; |
---|
1262 | FlagVal=[-2 2 3 4]; |
---|
1263 | for iflag=1:numel(FlagName) |
---|
1264 | if isfield(Param,FlagName{iflag}) && Param.(FlagName{iflag}) |
---|
1265 | FF=(FF==1| F==FlagVal(iflag)); |
---|
1266 | end |
---|
1267 | end |
---|
1268 | %criterium on correlation values |
---|
1269 | if isfield (Param,'MinCorr') |
---|
1270 | FF=FF==1 | C<Param.MinCorr; |
---|
1271 | end |
---|
1272 | if (isfield(Param,'MinVel')&&~isempty(Param.MinVel))||(isfield (Param,'MaxVel')&&~isempty(Param.MaxVel)) |
---|
1273 | Umod= U.*U+V.*V; |
---|
1274 | if isfield (Param,'MinVel')&&~isempty(Param.MinVel) |
---|
1275 | FF=FF==1 | Umod<(Param.MinVel*Param.MinVel); |
---|
1276 | end |
---|
1277 | if isfield (Param,'MaxVel')&&~isempty(Param.MaxVel) |
---|
1278 | FF=FF==1 | Umod>(Param.MaxVel*Param.MaxVel); |
---|
1279 | end |
---|
1280 | end |
---|
1281 | |
---|
1282 | |
---|
1283 | %------------------------------------------------------------------------ |
---|
1284 | % --- determine the list of index pairs of processing file |
---|
1285 | function [i1_series,i2_series,j1_series,j2_series,check_bounds,NomTypeNc]=... |
---|
1286 | find_pair_indices(str_civ,i_series,j_series,MinIndex_i,MaxIndex_i,MinIndex_j,MaxIndex_j) |
---|
1287 | %------------------------------------------------------------------------ |
---|
1288 | i1_series=i_series;% set of first image indexes |
---|
1289 | i2_series=i_series; |
---|
1290 | j1_series=j_series;%ones(size(i_series));% set of first image numbers |
---|
1291 | j2_series=j_series;%ones(size(i_series)); |
---|
1292 | r=regexp(str_civ,'^\D(?<ind>[i|j])=( -| )(?<num1>\d+)\|(?<num2>\d+)','names'); |
---|
1293 | if ~isempty(r) |
---|
1294 | mode=['D' r.ind]; |
---|
1295 | ind1=str2num(r.num1); |
---|
1296 | ind2=str2num(r.num2); |
---|
1297 | else |
---|
1298 | mode='j1-j2'; |
---|
1299 | r=regexp(str_civ,'^j= (?<num1>[a-z])-(?<num2>[a-z])','names'); |
---|
1300 | if ~isempty(r) |
---|
1301 | NomTypeNc='_1ab'; |
---|
1302 | else |
---|
1303 | r=regexp(str_civ,'^j= (?<num1>[A-Z])-(?<num2>[A-Z])','names'); |
---|
1304 | if ~isempty(r) |
---|
1305 | NomTypeNc='_1AB'; |
---|
1306 | else |
---|
1307 | r=regexp(str_civ,'^j= (?<num1>\d+)-(?<num2>\d+)','names'); |
---|
1308 | if ~isempty(r) |
---|
1309 | NomTypeNc='_1_1-2'; |
---|
1310 | end |
---|
1311 | end |
---|
1312 | end |
---|
1313 | if isempty(r) |
---|
1314 | display('wrong pair mode input option') |
---|
1315 | else |
---|
1316 | ind1=stra2num(r.num1); |
---|
1317 | ind2=stra2num(r.num2); |
---|
1318 | end |
---|
1319 | end |
---|
1320 | switch mode |
---|
1321 | case 'Di' |
---|
1322 | i1_series=i_series-ind1;% set of first image numbers |
---|
1323 | i2_series=i_series+ind2; |
---|
1324 | check_bounds=i1_series<MinIndex_i | i2_series>MaxIndex_i; |
---|
1325 | if isempty(j_series) |
---|
1326 | NomTypeNc='_1-2'; |
---|
1327 | else |
---|
1328 | j1_series=j_series; |
---|
1329 | j2_series=j_series; |
---|
1330 | NomTypeNc='_1-2_1'; |
---|
1331 | end |
---|
1332 | case 'Dj' |
---|
1333 | j1_series=j_series-ind1; |
---|
1334 | j2_series=j_series+ind2; |
---|
1335 | check_bounds=j1_series<MinIndex_j | j2_series>MaxIndex_j; |
---|
1336 | NomTypeNc='_1_1-2'; |
---|
1337 | otherwise %bursts |
---|
1338 | i1_series=i_series(1,:);% do not sweep the j index |
---|
1339 | i2_series=i_series(1,:); |
---|
1340 | j1_series=ind1*ones(1,size(i_series,2));% j index is fixed by pair choice |
---|
1341 | j2_series=ind2*ones(1,size(i_series,2)); |
---|
1342 | check_bounds=zeros(size(i1_series));% no limitations due to min-max indices |
---|
1343 | end |
---|
1344 | |
---|
1345 | |
---|
1346 | |
---|
1347 | |
---|