[598] | 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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[597] | 6 | %------------------------------------------------------------------------ |
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[855] | 7 | % function [Data,errormsg,result_conv]= civ_series(Param) |
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[597] | 8 | % |
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| 9 | %OUTPUT |
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[598] | 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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[597] | 13 | % |
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| 14 | %INPUT: |
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[855] | 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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[859] | 22 | % Param.ActionInput: substructure with the parameters provided by the GUI civ_input |
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[855] | 23 | % .Civ1: parameters for civ1 |
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| 24 | % .Fix1: parameters for fix1 |
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[859] | 25 | % .Patch1: |
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[855] | 26 | % .Civ2: for civ2 |
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[859] | 27 | % .Fix2: |
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[855] | 28 | % .Patch2: |
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| 29 | |
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[819] | 30 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA |
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| 31 | % Copyright 2011-2014, 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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[859] | 34 | % |
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[598] | 35 | % UVMAT is free software; you can redistribute it and/or modify |
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[819] | 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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[859] | 39 | % |
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[598] | 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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[819] | 43 | % GNU General Public License (open UVMAT/COPYING.txt) for more details. |
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| 44 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA |
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[597] | 45 | |
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[724] | 46 | function [Data,errormsg,result_conv]= civ_series(Param) |
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[598] | 47 | errormsg=''; |
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[763] | 48 | |
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[606] | 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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[859] | 50 | if isstruct(Param) && isequal(Param.Action.RUN,0)% function activated from the GUI series but not RUN |
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[763] | 51 | path_series=fileparts(which('series')); |
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| 52 | addpath(fullfile(path_series,'series')) |
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[598] | 53 | Data=civ_input(Param);% introduce the civ parameters using the GUI civ_input |
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[668] | 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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[606] | 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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[856] | 60 | if isfield(Data,'ActionInput') && isfield(Data.ActionInput,'PairIndices')&& strcmp(Data.ActionInput.PairIndices.ListPairMode,'pair j1-j2') |
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[721] | 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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[606] | 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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[781] | 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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[606] | 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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[711] | 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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[645] | 71 | Data.OutputFileMode='NbInput_i';% one output file expected per value of i index (used for waitbar) |
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[598] | 72 | return |
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[597] | 73 | end |
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| 74 | |
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| 75 | %% read input parameters from an xml file if input is a file name (batch mode) |
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| 76 | checkrun=1; |
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| 77 | if ischar(Param) |
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| 78 | Param=xml2struct(Param);% read Param as input file (batch case) |
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| 79 | checkrun=0; |
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| 80 | end |
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[855] | 81 | |
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| 82 | %% test input |
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[668] | 83 | if ~isfield(Param,'ActionInput') |
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[859] | 84 | disp_uvmat('ERROR','no parameter set for PIV',checkrun) |
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| 85 | return |
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[668] | 86 | end |
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[855] | 87 | iview_A=0;%default values |
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| 88 | NbField=1; |
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| 89 | RUNHandle=[]; |
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| 90 | CheckInputFile=isfield(Param,'InputTable');%= 1 in test use for TestCiv (no nc file involved) |
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| 91 | CheckOutputFile=isfield(Param,'OutputSubDir');%= 1 in test use for TestPatch (no nc file produced) |
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[597] | 92 | |
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[855] | 93 | %% input files and indexing (skipped in Test mode) |
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| 94 | if CheckInputFile |
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| 95 | hseries=findobj(allchild(0),'Tag','series'); |
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| 96 | RUNHandle=findobj(hseries,'Tag','RUN');%handle of RUN button in GUI series |
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| 97 | WaitbarHandle=findobj(hseries,'Tag','Waitbar');%handle of waitbar in GUI series |
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| 98 | MaxIndex_i=Param.IndexRange.MaxIndex_i; |
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| 99 | MinIndex_i=Param.IndexRange.MinIndex_i; |
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| 100 | MaxIndex_j=ones(size(MaxIndex_i));MinIndex_j=ones(size(MinIndex_i)); |
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| 101 | if isfield(Param.IndexRange,'MaxIndex_j')&& isfield(Param.IndexRange,'MinIndex_j') |
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| 102 | MaxIndex_j=Param.IndexRange.MaxIndex_j; |
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| 103 | MinIndex_j=Param.IndexRange.MinIndex_j; |
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[609] | 104 | end |
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[855] | 105 | if isfield(Param,'InputTable') |
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| 106 | [tild,i1_series,i2_series,j1_series,j2_series]=get_file_series(Param); |
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| 107 | iview_A=0;% series index (iview) for the first image series |
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| 108 | 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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| 109 | if Param.ActionInput.CheckCiv1 |
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| 110 | iview_A=1;% usual PIV, the image series is on the first line of the table |
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| 111 | elseif Param.ActionInput.CheckCiv2 % civ2 is performed without Civ1, a netcdf file series is needed in the first table line |
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| 112 | iview_A=2;% the second line is used for the input images of Civ2 |
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[610] | 113 | end |
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[855] | 114 | if strcmp(Param.ActionInput.ListCompareMode,'shift') |
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| 115 | iview_B=iview_A+1; % the second image series is on the next line of the input table |
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| 116 | end |
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| 117 | if iview_A~=0 |
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| 118 | RootPath_A=Param.InputTable{iview_A,1}; |
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| 119 | RootFile_A=Param.InputTable{iview_A,3}; |
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| 120 | SubDir_A=Param.InputTable{iview_A,2}; |
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| 121 | NomType_A=Param.InputTable{iview_A,4}; |
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| 122 | FileExt_A=Param.InputTable{iview_A,5}; |
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| 123 | if iview_B==0 |
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| 124 | iview_B=iview_A;% the second image series is the same as the first |
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[758] | 125 | end |
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[855] | 126 | RootPath_B=Param.InputTable{iview_B,1}; |
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| 127 | RootFile_B=Param.InputTable{iview_B,3}; |
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| 128 | SubDir_B=Param.InputTable{iview_B,2}; |
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| 129 | NomType_B=Param.InputTable{iview_B,4}; |
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| 130 | FileExt_B=Param.InputTable{iview_B,5}; |
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| 131 | end |
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| 132 | |
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| 133 | PairCiv2=''; |
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| 134 | switch Param.ActionInput.ListCompareMode |
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| 135 | case 'PIV' |
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| 136 | PairCiv1=Param.ActionInput.PairIndices.ListPairCiv1; |
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| 137 | if isfield(Param.ActionInput.PairIndices,'ListPairCiv2') |
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| 138 | PairCiv2=Param.ActionInput.PairIndices.ListPairCiv2;%string which determines the civ2 pair |
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[761] | 139 | end |
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[855] | 140 | if iview_A==1% if Civ1 is performed |
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| 141 | [i1_series_Civ1,i2_series_Civ1,j1_series_Civ1,j2_series_Civ1,check_bounds,NomTypeNc]=... |
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| 142 | find_pair_indices(PairCiv1,i1_series{1},j1_series{1},MinIndex_i,MaxIndex_i,MinIndex_j,MaxIndex_j); |
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| 143 | if ~isempty(PairCiv2) |
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| 144 | [i1_series_Civ2,i2_series_Civ2,j1_series_Civ2,j2_series_Civ2,check_bounds_Civ2]=... |
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| 145 | 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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| 146 | check_bounds=check_bounds | check_bounds_Civ2; |
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| 147 | end |
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| 148 | else% we start from an existing Civ1 file |
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| 149 | i1_series_Civ1=i1_series{1}; |
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| 150 | i2_series_Civ1=i2_series{1}; |
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| 151 | j1_series_Civ1=j1_series{1}; |
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| 152 | j2_series_Civ1=j2_series{1}; |
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| 153 | NomTypeNc=Param.InputTable{1,4}; |
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| 154 | if ~isempty(PairCiv2) |
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| 155 | [i1_series_Civ2,i2_series_Civ2,j1_series_Civ2,j2_series_Civ2,check_bounds,NomTypeNc]=... |
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| 156 | 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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| 157 | end |
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[761] | 158 | end |
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[855] | 159 | case 'displacement' |
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| 160 | i1_series_Civ1=Param.ActionInput.OriginIndex*ones(size(i1_series{1})); |
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| 161 | i2_series_Civ1=i1_series{1};i2_series_Civ2=i1_series{1}; |
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| 162 | j1_series_Civ1=ones(size(i1_series{1}));% first j index is 1 |
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| 163 | if isempty(j1_series_Civ1) |
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| 164 | j2_series_Civ1=ones(size(i1_series{1})); |
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| 165 | else |
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| 166 | j2_series_Civ1=j1_series_Civ1; |
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| 167 | end |
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| 168 | i1_series_Civ2=i1_series_Civ1; |
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| 169 | j1_series_Civ2=j1_series_Civ1; |
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| 170 | j2_series_Civ2=j2_series_Civ1; |
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[856] | 171 | NomTypeNc=Param.InputTable{1,4}; |
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[855] | 172 | case 'PIV volume' |
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| 173 | % TODO, TODO |
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| 174 | end |
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| 175 | if isempty(j1_series_Civ1) |
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| 176 | FrameIndex_A_Civ1=i1_series_Civ1; |
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| 177 | FrameIndex_B_Civ1=i2_series_Civ1; |
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| 178 | j1_series_Civ1=ones(size(i1_series_Civ1)); |
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| 179 | j2_series_Civ1=ones(size(i1_series_Civ1)); |
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| 180 | else |
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| 181 | FrameIndex_A_Civ1=j1_series_Civ1; |
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| 182 | FrameIndex_B_Civ1=j2_series_Civ1; |
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| 183 | end |
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| 184 | if isempty(PairCiv2) |
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[824] | 185 | FrameIndex_A_Civ2=FrameIndex_A_Civ1; |
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| 186 | FrameIndex_B_Civ2=FrameIndex_B_Civ1; |
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[758] | 187 | else |
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[855] | 188 | if isempty(j1_series_Civ2) |
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| 189 | FrameIndex_A_Civ2=i1_series_Civ2; |
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| 190 | FrameIndex_B_Civ2=i2_series_Civ2; |
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| 191 | j1_series_Civ2=ones(size(i1_series_Civ2)); |
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| 192 | j2_series_Civ2=ones(size(i1_series_Civ2)); |
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| 193 | else |
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| 194 | FrameIndex_A_Civ2=j1_series_Civ2; |
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| 195 | FrameIndex_B_Civ2=j2_series_Civ2; |
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| 196 | end |
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[758] | 197 | end |
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[855] | 198 | if isempty(i1_series_Civ1)||(~isempty(PairCiv2) && isempty(i1_series_Civ2)) |
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| 199 | disp_uvmat('ERROR','no image pair fo civ in the input file index range',checkrun) |
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[758] | 200 | return |
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| 201 | end |
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[855] | 202 | end |
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| 203 | |
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| 204 | %% check the first image pair |
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| 205 | try |
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| 206 | if Param.ActionInput.CheckCiv1% Civ1 is performed |
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| 207 | 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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| 208 | if ~exist(ImageName_A,'file') |
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| 209 | disp_uvmat('ERROR',['first input image ' ImageName_A ' does not exist'],checkrun) |
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| 210 | return |
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| 211 | end |
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| 212 | [FileInfo_A,VideoObject_A]=get_file_info(ImageName_A); |
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| 213 | FileType_A=FileInfo_A.FileType; |
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| 214 | if strcmp(FileInfo_A.FileType,'netcdf') |
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| 215 | FieldName_A=Param.InputFields.FieldName; |
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| 216 | [DataIn,tild,tild,errormsg]=nc2struct(ImageName_A,{FieldName_A}); |
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| 217 | par_civ1.ImageA=DataIn.(FieldName_A); |
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| 218 | else |
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| 219 | [par_civ1.ImageA,VideoObject_A] = read_image(ImageName_A,FileType_A,VideoObject_A,FrameIndex_A_Civ1(1)); |
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| 220 | end |
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| 221 | 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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| 222 | if ~exist(ImageName_B,'file') |
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| 223 | disp_uvmat('ERROR',['first input image ' ImageName_B ' does not exist'],checkrun) |
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| 224 | return |
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| 225 | end |
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| 226 | [FileInfo_B,VideoObject_B]=get_file_info(ImageName_B); |
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| 227 | FileType_B=FileInfo_B.FileType; |
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| 228 | if strcmp(FileInfo_B.FileType,'netcdf') |
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| 229 | FieldName_B=Param.InputFields.FieldName; |
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| 230 | [DataIn,tild,tild,errormsg]=nc2struct(ImageName_B,{FieldName_B}); |
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| 231 | par_civ1.ImageB=DataIn.(FieldName_B); |
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| 232 | else |
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| 233 | [par_civ1.ImageB,VideoObject_B] = read_image(ImageName_B,FileType_B,VideoObject_B,FrameIndex_B_Civ1(1)); |
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| 234 | end |
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| 235 | NbField=numel(i1_series_Civ1); |
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| 236 | elseif Param.ActionInput.CheckCiv2 % Civ2 is performed without Civ1 |
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| 237 | 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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| 238 | if ~exist(ImageName_A,'file') |
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| 239 | disp_uvmat('ERROR',['first input image ' ImageName_A ' does not exist'],checkrun) |
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| 240 | return |
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| 241 | end |
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| 242 | [FileInfo_A,VideoObject_A]=get_file_info(ImageName_A); |
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| 243 | FileType_A=FileInfo_A.FileType; |
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| 244 | [par_civ1.ImageA,VideoObject_A] = read_image(ImageName_A,FileInfo_A.FileType,VideoObject_A,FrameIndex_A_Civ2(1)); |
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| 245 | 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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| 246 | if ~exist(ImageName_B,'file') |
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| 247 | disp_uvmat('ERROR',['first input image ' ImageName_B ' does not exist'],checkrun) |
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| 248 | return |
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| 249 | end |
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| 250 | [FileInfo_B,VideoObject_B]=get_file_info(ImageName_B); |
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| 251 | FileType_B=FileInfo_B.FileType; |
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| 252 | [par_civ1.ImageB,VideoObject_B] = read_image(ImageName_B,FileType_B,VideoObject_B,FrameIndex_B_Civ2(1)); |
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| 253 | NbField=numel(i1_series_Civ2); |
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[819] | 254 | else |
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[855] | 255 | NbField=numel(i1_series_Civ1);% no image used (only fix or patch) TO CHECK |
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[781] | 256 | end |
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[855] | 257 | catch ME |
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| 258 | if ~isempty(ME.message) |
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| 259 | disp_uvmat('ERROR', ['error reading input image: ' ME.message],checkrun) |
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[758] | 260 | return |
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| 261 | end |
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| 262 | end |
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[855] | 263 | |
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| 264 | |
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| 265 | %% Output directory |
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| 266 | OutputDir=''; |
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| 267 | if CheckOutputFile |
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[859] | 268 | OutputDir=[Param.OutputSubDir Param.OutputDirExt]; |
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[758] | 269 | end |
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| 270 | end |
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| 271 | |
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[855] | 272 | %% prepare output Data |
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[886] | 273 | ListGlobalAttribute={'Conventions','Program','CivStage'}; |
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[605] | 274 | Data.Conventions='uvmat/civdata';% states the conventions used for the description of field variables and attributes |
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| 275 | Data.Program='civ_series'; |
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| 276 | Data.CivStage=0;%default |
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| 277 | check_civx=0;%default |
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| 278 | |
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[606] | 279 | %% get timing from the ImaDoc file or input video |
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[822] | 280 | if iview_A~=0 |
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[833] | 281 | XmlFileName=find_imadoc(RootPath_A,SubDir_A,RootFile_A,FileExt_A); |
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| 282 | time=[]; |
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| 283 | if ~isempty(XmlFileName) |
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| 284 | XmlData=imadoc2struct(XmlFileName); |
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[609] | 285 | if isfield(XmlData,'Time') |
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| 286 | time=XmlData.Time; |
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| 287 | TimeSource='xml'; |
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| 288 | end |
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| 289 | if isfield(XmlData,'Camera') |
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| 290 | if isfield(XmlData.Camera,'NbSlice')&& ~isempty(XmlData.Camera.NbSlice) |
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| 291 | NbSlice_calib{iview}=XmlData.Camera.NbSlice;% Nbre of slices for Zindex in phys transform |
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| 292 | if ~isequal(NbSlice_calib{iview},NbSlice_calib{1}) |
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| 293 | msgbox_uvmat('WARNING','inconsistent number of Z indices for the two field series'); |
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| 294 | end |
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| 295 | end |
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| 296 | if isfield(XmlData.Camera,'TimeUnit')&& ~isempty(XmlData.Camera.TimeUnit) |
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| 297 | TimeUnit=XmlData.Camera.TimeUnit; |
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| 298 | end |
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| 299 | end |
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[833] | 300 | end |
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| 301 | if isempty(time) && ~isempty(find(strcmp(FileType_A,{'mmreader','video'})))% case of video input |
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| 302 | time=zeros(FileInfo_A.NumberOfFrames+1,2); |
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| 303 | time(:,2)=(0:1/FileInfo_A.FrameRate:(FileInfo_A.NumberOfFrames)/FileInfo_A.FrameRate)'; |
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| 304 | TimeSource='video'; |
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| 305 | ColorType='truecolor'; |
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| 306 | end |
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| 307 | if isempty(time)% time = index i +0.001 index j by default |
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| 308 | %MinIndex_i=min(i1_series_Civ1); |
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| 309 | MaxIndex_i=max(i2_series_Civ1); |
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| 310 | %MinIndex_j=min(j1_series_Civ1); |
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| 311 | MaxIndex_j=max(j2_series_Civ1); |
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| 312 | time=(1:MaxIndex_i)'*ones(1,MaxIndex_j); |
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| 313 | time=time+0.001*ones(MaxIndex_i,1)*(1:MaxIndex_j); |
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| 314 | time=[zeros(1,MaxIndex_j);time];% insert a first line of zeros |
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| 315 | time=[zeros(MaxIndex_i+1,1) time];% insert a first column of zeros |
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| 316 | end |
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[637] | 317 | |
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[833] | 318 | if length(FileInfo_A) >1 %case of image with multiple frames |
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| 319 | nbfield=length(FileInfo_A); |
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| 320 | nbfield_j=1; |
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| 321 | end |
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[610] | 322 | end |
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[609] | 323 | |
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[598] | 324 | %%%%% MAIN LOOP %%%%%% |
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[856] | 325 | maskname='';% initiate the mask name |
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[878] | 326 | tic; |
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[598] | 327 | for ifield=1:NbField |
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[855] | 328 | if ~isempty(RUNHandle)% update the waitbar in interactive mode with GUI series (checkrun=1) |
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| 329 | update_waitbar(WaitbarHandle,ifield/NbField) |
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| 330 | if get(RUNHandle,'Value')&& ~strcmp(get(RUNHandle,'BusyAction'),'queue') |
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| 331 | disp('program stopped by user') |
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| 332 | break |
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| 333 | end |
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[624] | 334 | end |
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[855] | 335 | if CheckInputFile |
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| 336 | if iview_A==0 % no nc file has been entered |
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| 337 | ncfile=fullfile_uvmat(Param.InputTable{1,1},Param.InputTable{1,2},Param.InputTable{1,3},Param.InputTable{1,5},... |
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| 338 | NomTypeNc,i1_series_Civ1(ifield),i2_series_Civ1(ifield),j1_series_Civ1(ifield),j2_series_Civ1(ifield)); |
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| 339 | else% an existing nc file has been entered |
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| 340 | if iview_A==1% if Civ1 is performed |
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| 341 | Civ1Dir=OutputDir; |
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| 342 | else |
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| 343 | Civ1Dir=Param.InputTable{1,2}; |
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| 344 | end |
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| 345 | if strcmp(Param.ActionInput.ListCompareMode,'PIV') |
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| 346 | ncfile=fullfile_uvmat(RootPath_A,Civ1Dir,RootFile_A,'.nc',NomTypeNc,i1_series_Civ1(ifield),i2_series_Civ1(ifield),... |
---|
| 347 | j1_series_Civ1(ifield),j2_series_Civ1(ifield)); |
---|
| 348 | else |
---|
| 349 | ncfile=fullfile_uvmat(RootPath_A,Civ1Dir,RootFile_A,'.nc',NomTypeNc,i2_series_Civ1(ifield),[],... |
---|
| 350 | j1_series_Civ1(ifield),j2_series_Civ1(ifield)); |
---|
| 351 | end |
---|
[822] | 352 | end |
---|
[761] | 353 | end |
---|
[598] | 354 | %% Civ1 |
---|
[707] | 355 | % if Civ1 computation is requested |
---|
[598] | 356 | if isfield (Param.ActionInput,'Civ1') |
---|
| 357 | par_civ1=Param.ActionInput.Civ1; |
---|
[856] | 358 | if CheckInputFile % read input images (except in mode Test where it is introduced directly in Param.ActionInput.Civ1.ImageNameA and B) |
---|
[855] | 359 | try |
---|
| 360 | ImageName_A=fullfile_uvmat(RootPath_A,SubDir_A,RootFile_A,FileExt_A,NomType_A,i1_series_Civ1(ifield),[],j1_series_Civ1(ifield)); |
---|
| 361 | if strcmp(FileInfo_A.FileType,'netcdf')% case of input images in format netcdf |
---|
| 362 | FieldName_A=Param.InputFields.FieldName; |
---|
| 363 | [DataIn,tild,tild,errormsg]=nc2struct(ImageName_A,{FieldName_A}); |
---|
| 364 | par_civ1.ImageA=DataIn.(FieldName_A); |
---|
| 365 | else % usual image formats for image A |
---|
| 366 | [par_civ1.ImageA,VideoObject_A] = read_image(ImageName_A,FileType_A,VideoObject_A,FrameIndex_A_Civ1(ifield)); |
---|
| 367 | end |
---|
| 368 | ImageName_B=fullfile_uvmat(RootPath_B,SubDir_B,RootFile_B,FileExt_B,NomType_B,i2_series_Civ1(ifield),[],j2_series_Civ1(ifield)); |
---|
| 369 | if strcmp(FileInfo_B.FileType,'netcdf') % case of input images in format netcdf |
---|
| 370 | FieldName_B=Param.InputFields.FieldName; |
---|
| 371 | [DataIn,tild,tild,errormsg]=nc2struct(ImageName_B,{FieldName_B}); |
---|
| 372 | par_civ1.ImageB=DataIn.(FieldName_B); |
---|
| 373 | else % usual image formats for image B |
---|
| 374 | [par_civ1.ImageB,VideoObject_B] = read_image(ImageName_B,FileType_B,VideoObject_B,FrameIndex_B_Civ1(ifield)); |
---|
| 375 | end |
---|
| 376 | catch ME % display errors in reading input images |
---|
| 377 | if ~isempty(ME.message) |
---|
| 378 | disp_uvmat('ERROR', ['error reading input image: ' ME.message],checkrun) |
---|
| 379 | return |
---|
| 380 | end |
---|
[781] | 381 | end |
---|
[855] | 382 | par_civ1.ImageWidth=size(par_civ1.ImageA,2);%FileInfo_A.Width; |
---|
| 383 | par_civ1.ImageHeight=size(par_civ1.ImageA,1);%FileInfo_A.Height; |
---|
| 384 | list_param=(fieldnames(Param.ActionInput.Civ1))'; |
---|
| 385 | list_param(strcmp('TestCiv1',list_param))=[];% remove the parameter TestCiv1 from the list |
---|
| 386 | Civ1_param=regexprep(list_param,'^.+','Civ1_$0');% insert 'Civ1_' before each string in list_param |
---|
| 387 | Civ1_param=[{'Civ1_ImageA','Civ1_ImageB','Civ1_Time','Civ1_Dt'} Civ1_param]; %insert the names of the two input images |
---|
| 388 | %indicate the values of all the global attributes in the output data |
---|
| 389 | Data.Civ1_ImageA=ImageName_A; |
---|
| 390 | Data.Civ1_ImageB=ImageName_B; |
---|
| 391 | i1=i1_series_Civ1(ifield); |
---|
| 392 | i2=i1; |
---|
| 393 | if ~isempty(i2_series_Civ1) |
---|
| 394 | i2=i2_series_Civ1(ifield); |
---|
[781] | 395 | end |
---|
[855] | 396 | j1=1; |
---|
| 397 | if ~isempty(j1_series_Civ1) |
---|
| 398 | j1=j1_series_Civ1(ifield); |
---|
[758] | 399 | end |
---|
[855] | 400 | j2=j1; |
---|
| 401 | if ~isempty(j2_series_Civ1) |
---|
| 402 | j2=j2_series_Civ1(ifield); |
---|
| 403 | end |
---|
[861] | 404 | if strcmp(Param.ActionInput.ListCompareMode,'displacement') |
---|
| 405 | Data.Civ1_Time=time(i2+1,j2+1);% the time is the time of the secodn image |
---|
| 406 | Data.Civ1_Dt=1;% time interval is 1, to yield displacement instead of velocity=displacement/Dt at reading |
---|
| 407 | else |
---|
| 408 | 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 |
---|
[855] | 409 | Data.Civ1_Dt=time(i2+1,j2+1)-time(i1+1,j1+1); |
---|
[861] | 410 | end |
---|
[855] | 411 | for ilist=1:length(list_param) |
---|
| 412 | Data.(Civ1_param{4+ilist})=Param.ActionInput.Civ1.(list_param{ilist}); |
---|
| 413 | end |
---|
[886] | 414 | Data.ListGlobalAttribute=[ListGlobalAttribute Civ1_param]; |
---|
[855] | 415 | Data.CivStage=1; |
---|
[597] | 416 | end |
---|
[598] | 417 | % set the list of variables |
---|
| 418 | Data.ListVarName={'Civ1_X','Civ1_Y','Civ1_U','Civ1_V','Civ1_F','Civ1_C'};% cell array containing the names of the fields to record |
---|
| 419 | Data.VarDimName={'nb_vec_1','nb_vec_1','nb_vec_1','nb_vec_1','nb_vec_1','nb_vec_1'}; |
---|
| 420 | Data.VarAttribute{1}.Role='coord_x'; |
---|
| 421 | Data.VarAttribute{2}.Role='coord_y'; |
---|
| 422 | Data.VarAttribute{3}.Role='vector_x'; |
---|
| 423 | Data.VarAttribute{4}.Role='vector_y'; |
---|
| 424 | Data.VarAttribute{5}.Role='warnflag'; |
---|
[856] | 425 | if par_civ1.CheckMask&&~isempty(par_civ1.Mask) |
---|
| 426 | if strcmp(maskname,par_civ1.Mask)% mask exist, not already read in civ1 |
---|
| 427 | par_civ1.Mask=mask; %use mask already opened |
---|
| 428 | else |
---|
[861] | 429 | try |
---|
| 430 | par_civ1.Mask=imread(par_civ1.Mask);%update the mask, an store it for future use |
---|
| 431 | catch ME |
---|
| 432 | if ~isempty(ME.message) |
---|
| 433 | errormsg=['error reading input image: ' ME.message]; |
---|
| 434 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
| 435 | return |
---|
| 436 | end |
---|
| 437 | end |
---|
[856] | 438 | mask=par_civ1.Mask; |
---|
| 439 | maskname=par_civ1.Mask; |
---|
| 440 | end |
---|
| 441 | end |
---|
[598] | 442 | if strcmp(Param.ActionInput.ListCompareMode, 'PIV volume') |
---|
| 443 | Data.ListVarName=[Data.ListVarName 'Civ1_Z']; |
---|
| 444 | Data.Civ1_X=[];Data.Civ1_Y=[];Data.Civ1_Z=[]; |
---|
| 445 | Data.Civ1_U=[];Data.Civ1_V=[];Data.Civ1_C=[];Data.Civ1_F=[]; |
---|
| 446 | for ivol=1:NbSlice |
---|
| 447 | % caluclate velocity data (y and v in indices, reverse to y component) |
---|
[856] | 448 | [xtable, ytable, utable, vtable, ctable, F, result_conv, errormsg] = civ (par_civ1); |
---|
[598] | 449 | if ~isempty(errormsg) |
---|
[859] | 450 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
[598] | 451 | return |
---|
| 452 | end |
---|
| 453 | Data.Civ1_X=[Data.Civ1_X reshape(xtable,[],1)]; |
---|
| 454 | Data.Civ1_Y=[Data.Civ1_Y reshape(Param.Civ1.ImageHeight-ytable+1,[],1)]; |
---|
| 455 | Data.Civ1_Z=[Data.Civ1_Z ivol*ones(numel(xtable),1)];% z=image index in image coordinates |
---|
| 456 | Data.Civ1_U=[Data.Civ1_U reshape(utable,[],1)]; |
---|
| 457 | Data.Civ1_V=[Data.Civ1_V reshape(-vtable,[],1)]; |
---|
| 458 | Data.Civ1_C=[Data.Civ1_C reshape(ctable,[],1)]; |
---|
| 459 | Data.Civ1_F=[Data.Civ1_C reshape(F,[],1)]; |
---|
| 460 | end |
---|
| 461 | else %usual PIV |
---|
| 462 | % caluclate velocity data (y and v in indices, reverse to y component) |
---|
[856] | 463 | [xtable, ytable, utable, vtable, ctable, F, result_conv, errormsg] = civ (par_civ1); |
---|
[597] | 464 | if ~isempty(errormsg) |
---|
[703] | 465 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
[597] | 466 | return |
---|
| 467 | end |
---|
[598] | 468 | Data.Civ1_X=reshape(xtable,[],1); |
---|
| 469 | Data.Civ1_Y=reshape(par_civ1.ImageHeight-ytable+1,[],1); |
---|
| 470 | Data.Civ1_U=reshape(utable,[],1); |
---|
| 471 | Data.Civ1_V=reshape(-vtable,[],1); |
---|
| 472 | Data.Civ1_C=reshape(ctable,[],1); |
---|
| 473 | Data.Civ1_F=reshape(F,[],1); |
---|
[597] | 474 | end |
---|
[707] | 475 | else% we use existing Civ1 data |
---|
[598] | 476 | if exist('ncfile','var') |
---|
| 477 | CivFile=ncfile; |
---|
[855] | 478 | [Data,tild,tild,errormsg]=nc2struct(CivFile,'ListGlobalAttribute','absolut_time_T0'); %look for the constant 'absolut_time_T0' to detect old civx data format |
---|
| 479 | if ~isempty(errormsg) |
---|
| 480 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
| 481 | return |
---|
| 482 | end |
---|
[859] | 483 | [Data,tild,tild,errormsg]=nc2struct(CivFile);%read civ1 and fix1 data in the existing netcdf file |
---|
[856] | 484 | elseif isfield(Param,'Civ1_X') |
---|
[855] | 485 | Data.ListGlobalAttribute={}; |
---|
| 486 | Data.ListVarName={}; |
---|
| 487 | Data.VarDimName={}; |
---|
| 488 | Data.Civ1_X=Param.Civ1_X; |
---|
| 489 | Data.Civ1_Y=Param.Civ1_Y; |
---|
| 490 | Data.Civ1_U=Param.Civ1_U; |
---|
| 491 | Data.Civ1_V=Param.Civ1_V; |
---|
[859] | 492 | Data.Civ1_FF=Param.Civ1_FF; |
---|
[598] | 493 | end |
---|
[597] | 494 | end |
---|
| 495 | |
---|
[598] | 496 | %% Fix1 |
---|
| 497 | if isfield (Param.ActionInput,'Fix1') |
---|
[822] | 498 | if ~isfield (Param.ActionInput,'Civ1')% if we use existing Civ1, remove previous data beyond Civ1 |
---|
| 499 | Fix1_attr=find(strcmp('Fix1',Data.ListGlobalAttribute)); |
---|
| 500 | Data.ListGlobalAttribute(Fix1_attr)=[]; |
---|
| 501 | for ilist=1:numel(Fix1_attr) |
---|
| 502 | Data=rmfield(Data,Data.ListGlobalAttribute{Fix1_attr(ilist)}); |
---|
| 503 | end |
---|
[859] | 504 | end |
---|
[852] | 505 | list_param=fieldnames(Param.ActionInput.Fix1)'; |
---|
| 506 | Fix1_param=regexprep(list_param,'^.+','Fix1_$0');% insert 'Fix1_' before each string in ListFixParam |
---|
[859] | 507 | %indicate the values of all the global attributes in the output data |
---|
[852] | 508 | for ilist=1:length(list_param) |
---|
| 509 | Data.(Fix1_param{ilist})=Param.ActionInput.Fix1.(list_param{ilist}); |
---|
[598] | 510 | end |
---|
[852] | 511 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Fix1_param]; |
---|
[859] | 512 | Data.ListVarName=[Data.ListVarName {'Civ1_FF'}]; |
---|
| 513 | Data.VarDimName=[Data.VarDimName {'nb_vec_1'}]; |
---|
| 514 | nbvar=length(Data.ListVarName); |
---|
| 515 | Data.VarAttribute{nbvar}.Role='errorflag'; |
---|
| 516 | Data.Civ1_FF=fix(Param.ActionInput.Fix1,Data.Civ1_F,Data.Civ1_C,Data.Civ1_U,Data.Civ1_V); |
---|
| 517 | Data.CivStage=2; |
---|
[597] | 518 | end |
---|
[598] | 519 | %% Patch1 |
---|
| 520 | if isfield (Param.ActionInput,'Patch1') |
---|
| 521 | if check_civx |
---|
| 522 | errormsg='Civ Matlab input needed for patch'; |
---|
[703] | 523 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
[598] | 524 | return |
---|
| 525 | end |
---|
[855] | 526 | |
---|
| 527 | % record the processing parameters of Patch1 as global attributes in the result nc file |
---|
[852] | 528 | list_param=fieldnames(Param.ActionInput.Patch1)'; |
---|
[855] | 529 | list_param(strcmp('TestPatch1',list_param))=[];% remove 'TestPatch1' from the list of parameters |
---|
| 530 | Patch1_param=regexprep(list_param,'^.+','Patch1_$0');% insert 'Patch1_' before each parameter name |
---|
[852] | 531 | for ilist=1:length(list_param) |
---|
| 532 | Data.(Patch1_param{ilist})=Param.ActionInput.Patch1.(list_param{ilist}); |
---|
| 533 | end |
---|
[855] | 534 | Data.CivStage=3;% record the new state of processing |
---|
[852] | 535 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Patch1_param]; |
---|
[598] | 536 | |
---|
[855] | 537 | % list the variables to record |
---|
[598] | 538 | nbvar=length(Data.ListVarName); |
---|
| 539 | Data.ListVarName=[Data.ListVarName {'Civ1_U_smooth','Civ1_V_smooth','Civ1_SubRange','Civ1_NbCentres','Civ1_Coord_tps','Civ1_U_tps','Civ1_V_tps'}]; |
---|
| 540 | Data.VarDimName=[Data.VarDimName {'nb_vec_1','nb_vec_1',{'nb_coord','nb_bounds','nb_subdomain_1'},'nb_subdomain_1',... |
---|
| 541 | {'nb_tps_1','nb_coord','nb_subdomain_1'},{'nb_tps_1','nb_subdomain_1'},{'nb_tps_1','nb_subdomain_1'}}]; |
---|
| 542 | Data.VarAttribute{nbvar+1}.Role='vector_x'; |
---|
| 543 | Data.VarAttribute{nbvar+2}.Role='vector_y'; |
---|
| 544 | Data.VarAttribute{nbvar+5}.Role='coord_tps'; |
---|
| 545 | Data.VarAttribute{nbvar+6}.Role='vector_x'; |
---|
| 546 | Data.VarAttribute{nbvar+7}.Role='vector_y'; |
---|
[855] | 547 | Data.Civ1_U_smooth=Data.Civ1_U; % zeros(size(Data.Civ1_X)); |
---|
| 548 | Data.Civ1_V_smooth=Data.Civ1_V; %zeros(size(Data.Civ1_X)); |
---|
[598] | 549 | if isfield(Data,'Civ1_FF') |
---|
| 550 | ind_good=find(Data.Civ1_FF==0); |
---|
[597] | 551 | else |
---|
[598] | 552 | ind_good=1:numel(Data.Civ1_X); |
---|
[597] | 553 | end |
---|
[855] | 554 | |
---|
[859] | 555 | % perform Patch calculation using the UVMAT fct 'filter_tps' |
---|
[598] | 556 | [Data.Civ1_SubRange,Data.Civ1_NbCentres,Data.Civ1_Coord_tps,Data.Civ1_U_tps,Data.Civ1_V_tps,tild,Ures, Vres,tild,FFres]=... |
---|
| 557 | 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); |
---|
[855] | 558 | Data.Civ1_U_smooth(ind_good)=Ures;% take the interpolated (smoothed) velocity values for good vectors, keep 0 for the others |
---|
[598] | 559 | Data.Civ1_V_smooth(ind_good)=Vres; |
---|
| 560 | Data.Civ1_FF(ind_good)=FFres; |
---|
[597] | 561 | end |
---|
| 562 | |
---|
[598] | 563 | %% Civ2 |
---|
| 564 | if isfield (Param.ActionInput,'Civ2') |
---|
| 565 | par_civ2=Param.ActionInput.Civ2; |
---|
[856] | 566 | if CheckInputFile % read input images (except in mode Test where it is introduced directly in Param.ActionInput.Civ1.ImageNameA and B) |
---|
| 567 | par_civ2.ImageA=[]; |
---|
| 568 | par_civ2.ImageB=[]; |
---|
| 569 | i1=i1_series_Civ2(ifield); |
---|
| 570 | i2=i1; |
---|
| 571 | if ~isempty(i2_series_Civ2) |
---|
| 572 | i2=i2_series_Civ2(ifield); |
---|
[598] | 573 | end |
---|
[856] | 574 | j1=1; |
---|
| 575 | if ~isempty(j1_series_Civ2) |
---|
| 576 | j1=j1_series_Civ2(ifield); |
---|
| 577 | end |
---|
| 578 | j2=j1; |
---|
| 579 | if ~isempty(j2_series_Civ2) |
---|
| 580 | j2=j2_series_Civ2(ifield); |
---|
| 581 | end |
---|
| 582 | ImageName_A_Civ2=fullfile_uvmat(RootPath_A,SubDir_A,RootFile_A,FileExt_A,NomType_A,i1,[],j1); |
---|
| 583 | |
---|
| 584 | if strcmp(ImageName_A_Civ2,ImageName_A) && isequal(FrameIndex_A_Civ1(ifield),FrameIndex_A_Civ2(ifield)) |
---|
| 585 | par_civ2.ImageA=par_civ1.ImageA; |
---|
| 586 | else |
---|
| 587 | [par_civ2.ImageA,VideoObject_A] = read_image(ImageName_A_Civ2,FileType_A,VideoObject_A,FrameIndex_A_Civ2(ifield)); |
---|
| 588 | end |
---|
| 589 | ImageName_B_Civ2=fullfile_uvmat(RootPath_B,SubDir_B,RootFile_B,FileExt_B,NomType_B,i2,[],j2); |
---|
| 590 | if strcmp(ImageName_B_Civ2,ImageName_B) && isequal(FrameIndex_B_Civ1(ifield),FrameIndex_B_Civ2) |
---|
| 591 | par_civ2.ImageB=par_civ1.ImageB; |
---|
| 592 | else |
---|
| 593 | [par_civ2.ImageB,VideoObject_B] = read_image(ImageName_B_Civ2,FileType_B,VideoObject_B,FrameIndex_B_Civ2(ifield)); |
---|
| 594 | end |
---|
| 595 | if strcmp(Param.ActionInput.ListCompareMode,'PIV') |
---|
| 596 | ncfile=fullfile_uvmat(RootPath_A,OutputDir,RootFile_A,'.nc',NomTypeNc,i1,i2,j1,j2); |
---|
| 597 | else % displacement |
---|
| 598 | ncfile=fullfile_uvmat(RootPath_A,OutputDir,RootFile_A,'.nc',NomTypeNc,i2,[],j2); |
---|
| 599 | end |
---|
| 600 | par_civ2.ImageWidth=FileInfo_A.Width; |
---|
| 601 | par_civ2.ImageHeight=FileInfo_A.Height; |
---|
| 602 | if isfield(par_civ2,'Grid')% grid points set as input file |
---|
| 603 | if ischar(par_civ2.Grid)%read the grid file if the input is a file name |
---|
| 604 | par_civ2.Grid=dlmread(par_civ2.Grid); |
---|
| 605 | par_civ2.Grid(1,:)=[];%the first line must be removed (heading in the grid file) |
---|
| 606 | end |
---|
| 607 | else% automatic grid |
---|
| 608 | minix=floor(par_civ2.Dx/2)-0.5; |
---|
| 609 | maxix=minix+par_civ2.Dx*floor((par_civ2.ImageWidth-1)/par_civ2.Dx); |
---|
| 610 | miniy=floor(par_civ2.Dy/2)-0.5; |
---|
| 611 | maxiy=minix+par_civ2.Dy*floor((par_civ2.ImageHeight-1)/par_civ2.Dy); |
---|
| 612 | [GridX,GridY]=meshgrid(minix:par_civ2.Dx:maxix,miniy:par_civ2.Dy:maxiy); |
---|
| 613 | par_civ2.Grid(:,1)=reshape(GridX,[],1); |
---|
| 614 | par_civ2.Grid(:,2)=reshape(GridY,[],1); |
---|
| 615 | end |
---|
[597] | 616 | end |
---|
[851] | 617 | |
---|
[856] | 618 | % get the guess from patch1 or patch2 (case 'CheckCiv3') |
---|
| 619 | if CheckInputFile % read input images (except in mode Test where it is introduced directly in Param.ActionInput.Civ1.ImageNameA and B) |
---|
| 620 | if isfield (par_civ2,'CheckCiv3') && par_civ2.CheckCiv3 %get the guess from patch2 |
---|
| 621 | SubRange= Data.Civ2_SubRange; |
---|
| 622 | NbCentres=Data.Civ2_NbCentres; |
---|
| 623 | Coord_tps=Data.Civ2_Coord_tps; |
---|
| 624 | U_tps=Data.Civ2_U_tps; |
---|
| 625 | V_tps=Data.Civ2_V_tps; |
---|
[859] | 626 | CivStage=Data.CivStage;%store the current CivStage |
---|
[856] | 627 | Civ1_Dt=Data.Civ2_Dt; |
---|
| 628 | Data=[];%reinitialise the result structure Data |
---|
| 629 | Data.ListGlobalAttribute={'Conventions','Program','CivStage'}; |
---|
| 630 | Data.Conventions='uvmat/civdata';% states the conventions used for the description of field variables and attributes |
---|
| 631 | Data.Program='civ_series'; |
---|
[859] | 632 | Data.CivStage=CivStage+1;%update the current civStage after reinitialisation of Data |
---|
[856] | 633 | Data.ListVarName={}; |
---|
| 634 | Data.VarDimName={}; |
---|
| 635 | else % get the guess from patch1 |
---|
| 636 | SubRange= Data.Civ1_SubRange; |
---|
| 637 | NbCentres=Data.Civ1_NbCentres; |
---|
| 638 | Coord_tps=Data.Civ1_Coord_tps; |
---|
| 639 | U_tps=Data.Civ1_U_tps; |
---|
| 640 | V_tps=Data.Civ1_V_tps; |
---|
| 641 | Civ1_Dt=Data.Civ1_Dt; |
---|
[859] | 642 | Data.CivStage=4; |
---|
[856] | 643 | end |
---|
| 644 | else |
---|
| 645 | SubRange= par_civ2.Civ1_SubRange; |
---|
| 646 | NbCentres=par_civ2.Civ1_NbCentres; |
---|
| 647 | Coord_tps=par_civ2.Civ1_Coord_tps; |
---|
| 648 | U_tps=par_civ2.Civ1_U_tps; |
---|
| 649 | V_tps=par_civ2.Civ1_V_tps; |
---|
| 650 | Civ1_Dt=par_civ2.Civ1_Dt; |
---|
[858] | 651 | Civ2_Dt=par_civ2.Civ1_Dt; |
---|
[859] | 652 | Data.ListVarName={}; |
---|
| 653 | Data.VarDimName={}; |
---|
[851] | 654 | end |
---|
[856] | 655 | Shiftx=zeros(size(par_civ2.Grid,1),1);% shift expected from civ1 data |
---|
| 656 | Shifty=zeros(size(par_civ2.Grid,1),1); |
---|
| 657 | nbval=zeros(size(par_civ2.Grid,1),1);% nbre of interpolated values at each grid point (from the different patch subdomains) |
---|
[862] | 658 | if par_civ2.CheckDeformation |
---|
| 659 | DUDX=zeros(size(par_civ2.Grid,1),1); |
---|
| 660 | DUDY=zeros(size(par_civ2.Grid,1),1); |
---|
| 661 | DVDX=zeros(size(par_civ2.Grid,1),1); |
---|
| 662 | DVDY=zeros(size(par_civ2.Grid,1),1); |
---|
| 663 | end |
---|
[856] | 664 | NbSubDomain=size(SubRange,3); |
---|
[761] | 665 | for isub=1:NbSubDomain% for each sub-domain of Patch1 |
---|
[851] | 666 | nbvec_sub=NbCentres(isub);% nbre of Civ vectors in the subdomain |
---|
| 667 | ind_sel=find(par_civ2.Grid(:,1)>=SubRange(1,1,isub) & par_civ2.Grid(:,1)<=SubRange(1,2,isub) &... |
---|
[862] | 668 | par_civ2.Grid(:,2)>=SubRange(2,1,isub) & par_civ2.Grid(:,2)<=SubRange(2,2,isub));% grid points in the subdomain |
---|
[859] | 669 | if ~isempty(ind_sel) |
---|
[862] | 670 | epoints = par_civ2.Grid(ind_sel,:);% coordinates of interpolation sites (measurement grids) |
---|
[859] | 671 | ctrs=Coord_tps(1:nbvec_sub,:,isub) ;%(=initial points) ctrs |
---|
| 672 | nbval(ind_sel)=nbval(ind_sel)+1;% records the number of values for each interpolation point (in case of subdomain overlap) |
---|
[862] | 673 | EM = tps_eval(epoints,ctrs);% thin plate spline (tps) coefficient |
---|
| 674 | Shiftx(ind_sel)=Shiftx(ind_sel)+EM*U_tps(1:nbvec_sub+3,isub);%velocity shift estimated by tps from civ1 |
---|
[859] | 675 | Shifty(ind_sel)=Shifty(ind_sel)+EM*V_tps(1:nbvec_sub+3,isub); |
---|
| 676 | if par_civ2.CheckDeformation |
---|
| 677 | [EMDX,EMDY] = tps_eval_dxy(epoints,ctrs);%2D matrix of distances between extrapolation points epoints and spline centres (=site points) ctrs |
---|
| 678 | DUDX(ind_sel)=DUDX(ind_sel)+EMDX*U_tps(1:nbvec_sub+3,isub); |
---|
| 679 | DUDY(ind_sel)=DUDY(ind_sel)+EMDY*U_tps(1:nbvec_sub+3,isub); |
---|
| 680 | DVDX(ind_sel)=DVDX(ind_sel)+EMDX*V_tps(1:nbvec_sub+3,isub); |
---|
| 681 | DVDY(ind_sel)=DVDY(ind_sel)+EMDY*V_tps(1:nbvec_sub+3,isub); |
---|
| 682 | end |
---|
[597] | 683 | end |
---|
| 684 | end |
---|
[856] | 685 | if par_civ2.CheckMask&&~isempty(par_civ2.Mask) |
---|
| 686 | if strcmp(maskname,par_civ2.Mask)% mask exist, not already read in civ1 |
---|
| 687 | par_civ2.Mask=mask; %use mask already opened |
---|
| 688 | else |
---|
| 689 | par_civ2.Mask=imread(par_civ2.Mask);%update the mask, and store it for future use |
---|
| 690 | mask=par_civ2.Mask; |
---|
| 691 | maskname=par_civ2.Mask; |
---|
| 692 | end |
---|
[598] | 693 | end |
---|
[858] | 694 | if CheckInputFile % else Dt given by par_civ2 |
---|
| 695 | if strcmp(Param.ActionInput.ListCompareMode,'displacement') |
---|
| 696 | Civ1_Dt=1; |
---|
| 697 | Civ2_Dt=1; |
---|
| 698 | else |
---|
| 699 | Civ2_Dt=time(i2+1,j2+1)-time(i1+1,j1+1); |
---|
| 700 | end |
---|
[856] | 701 | end |
---|
[851] | 702 | par_civ2.SearchBoxShift=(Civ2_Dt/Civ1_Dt)*[Shiftx(nbval>=1)./nbval(nbval>=1) Shifty(nbval>=1)./nbval(nbval>=1)]; |
---|
[862] | 703 | % shift the grid points by half the expected shift to provide the correlation box position in image A |
---|
[873] | 704 | 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]; |
---|
[598] | 705 | if par_civ2.CheckDeformation |
---|
[876] | 706 | par_civ2.DUDX=DUDX(nbval>=1)./nbval(nbval>=1); |
---|
| 707 | par_civ2.DUDY=DUDY(nbval>=1)./nbval(nbval>=1); |
---|
| 708 | par_civ2.DVDX=DVDX(nbval>=1)./nbval(nbval>=1); |
---|
| 709 | par_civ2.DVDY=DVDY(nbval>=1)./nbval(nbval>=1); |
---|
[598] | 710 | end |
---|
[859] | 711 | |
---|
[862] | 712 | % calculate velocity data (y and v in image indices, reverse to y component) |
---|
[856] | 713 | [xtable, ytable, utable, vtable, ctable, F,result_conv,errormsg] = civ (par_civ2); |
---|
| 714 | |
---|
[598] | 715 | list_param=(fieldnames(Param.ActionInput.Civ2))'; |
---|
[859] | 716 | list_param(strcmp('TestCiv2',list_param))=[];% remove the parameter TestCiv2 from the list |
---|
[606] | 717 | Civ2_param=regexprep(list_param,'^.+','Civ2_$0');% insert 'Civ2_' before each string in list_param |
---|
| 718 | Civ2_param=[{'Civ2_ImageA','Civ2_ImageB','Civ2_Time','Civ2_Dt'} Civ2_param]; %insert the names of the two input images |
---|
[856] | 719 | %indicate the values of all the global attributes in the output data |
---|
| 720 | if exist('ImageName_A','var') |
---|
[859] | 721 | Data.Civ2_ImageA=ImageName_A; |
---|
| 722 | Data.Civ2_ImageB=ImageName_B; |
---|
[861] | 723 | if strcmp(Param.ActionInput.ListCompareMode,'displacement') |
---|
| 724 | Data.Civ2_Time=time(i2+1,j2+1);% the time is the time of the secodn image |
---|
| 725 | Data.Civ2_Dt=1;% time interval is 1, to yield displacement instead of velocity=displacement/Dt at reading |
---|
| 726 | else |
---|
[859] | 727 | Data.Civ2_Time=(time(i2+1,j2+1)+time(i1+1,j1+1))/2; |
---|
| 728 | Data.Civ2_Dt=Civ2_Dt; |
---|
[861] | 729 | end |
---|
[856] | 730 | end |
---|
[598] | 731 | for ilist=1:length(list_param) |
---|
[606] | 732 | Data.(Civ2_param{4+ilist})=Param.ActionInput.Civ2.(list_param{ilist}); |
---|
[598] | 733 | end |
---|
[606] | 734 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Civ2_param]; |
---|
| 735 | |
---|
[598] | 736 | nbvar=numel(Data.ListVarName); |
---|
[859] | 737 | % define the Civ2 variable (if Civ2 data are not replaced from previous calculation) |
---|
| 738 | if isempty(find(strcmp('Civ2_X',Data.ListVarName),1)) |
---|
| 739 | 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 |
---|
| 740 | Data.VarDimName=[Data.VarDimName {'nb_vec_2','nb_vec_2','nb_vec_2','nb_vec_2','nb_vec_2','nb_vec_2'}]; |
---|
| 741 | Data.VarAttribute{nbvar+1}.Role='coord_x'; |
---|
| 742 | Data.VarAttribute{nbvar+2}.Role='coord_y'; |
---|
| 743 | Data.VarAttribute{nbvar+3}.Role='vector_x'; |
---|
| 744 | Data.VarAttribute{nbvar+4}.Role='vector_y'; |
---|
| 745 | Data.VarAttribute{nbvar+5}.Role='warnflag'; |
---|
| 746 | end |
---|
[598] | 747 | Data.Civ2_X=reshape(xtable,[],1); |
---|
| 748 | Data.Civ2_Y=reshape(size(par_civ2.ImageA,1)-ytable+1,[],1); |
---|
| 749 | Data.Civ2_U=reshape(utable,[],1); |
---|
| 750 | Data.Civ2_V=reshape(-vtable,[],1); |
---|
| 751 | Data.Civ2_C=reshape(ctable,[],1); |
---|
| 752 | Data.Civ2_F=reshape(F,[],1); |
---|
[860] | 753 | elseif ~isfield(Data,'ListVarName') % we start there, using existing Civ2 data |
---|
| 754 | if exist('ncfile','var') |
---|
| 755 | CivFile=ncfile; |
---|
| 756 | [Data,tild,tild,errormsg]=nc2struct(CivFile);%read civ1 and fix1 data in the existing netcdf file |
---|
| 757 | if ~isempty(errormsg) |
---|
| 758 | disp_uvmat('ERROR',errormsg,checkrun) |
---|
| 759 | return |
---|
| 760 | end |
---|
| 761 | elseif isfield(Param,'Civ2_X')% use Civ2 data as input in Param (test mode) |
---|
| 762 | Data.ListGlobalAttribute={}; |
---|
| 763 | Data.ListVarName={}; |
---|
| 764 | Data.VarDimName={}; |
---|
| 765 | Data.Civ2_X=Param.Civ2_X; |
---|
| 766 | Data.Civ2_Y=Param.Civ2_Y; |
---|
| 767 | Data.Civ2_U=Param.Civ2_U; |
---|
| 768 | Data.Civ2_V=Param.Civ2_V; |
---|
| 769 | Data.Civ2_FF=Param.Civ2_FF; |
---|
| 770 | end |
---|
[598] | 771 | end |
---|
| 772 | |
---|
| 773 | %% Fix2 |
---|
| 774 | if isfield (Param.ActionInput,'Fix2') |
---|
[856] | 775 | list_param=fieldnames(Param.ActionInput.Fix2)'; |
---|
[852] | 776 | Fix2_param=regexprep(list_param,'^.+','Fix2_$0');% insert 'Fix1_' before each string in ListFixParam |
---|
[859] | 777 | %indicate the values of all the global attributes in the output data |
---|
[852] | 778 | for ilist=1:length(list_param) |
---|
| 779 | Data.(Fix2_param{ilist})=Param.ActionInput.Fix2.(list_param{ilist}); |
---|
[598] | 780 | end |
---|
[859] | 781 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Fix2_param]; |
---|
| 782 | % |
---|
| 783 | % ListFixParam=fieldnames(Param.ActionInput.Fix2); |
---|
| 784 | % for ilist=1:length(ListFixParam) |
---|
| 785 | % ParamName=ListFixParam{ilist}; |
---|
| 786 | % ListName=['Fix2_' ParamName]; |
---|
| 787 | % eval(['Data.ListGlobalAttribute=[Data.ListGlobalAttribute ''' ParamName '''];']) |
---|
| 788 | % eval(['Data.' ListName '=Param.ActionInput.Fix2.' ParamName ';']) |
---|
| 789 | % end |
---|
[598] | 790 | if check_civx |
---|
| 791 | if ~isfield(Data,'fix2') |
---|
| 792 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute 'fix2']; |
---|
| 793 | Data.fix2=1; |
---|
| 794 | Data.ListVarName=[Data.ListVarName {'vec2_FixFlag'}]; |
---|
| 795 | Data.VarDimName=[Data.VarDimName {'nb_vectors2'}]; |
---|
| 796 | end |
---|
| 797 | Data.vec_FixFlag=fix(Param.Fix2,Data.vec2_F,Data.vec2_C,Data.vec2_U,Data.vec2_V,Data.vec2_X,Data.vec2_Y); |
---|
[597] | 798 | else |
---|
[598] | 799 | Data.ListVarName=[Data.ListVarName {'Civ2_FF'}]; |
---|
| 800 | Data.VarDimName=[Data.VarDimName {'nb_vec_2'}]; |
---|
| 801 | nbvar=length(Data.ListVarName); |
---|
| 802 | Data.VarAttribute{nbvar}.Role='errorflag'; |
---|
[822] | 803 | Data.Civ2_FF=double(fix(Param.ActionInput.Fix2,Data.Civ2_F,Data.Civ2_C,Data.Civ2_U,Data.Civ2_V)); |
---|
[598] | 804 | Data.CivStage=Data.CivStage+1; |
---|
[597] | 805 | end |
---|
[598] | 806 | |
---|
| 807 | end |
---|
| 808 | |
---|
| 809 | %% Patch2 |
---|
| 810 | if isfield (Param.ActionInput,'Patch2') |
---|
[859] | 811 | list_param=fieldnames(Param.ActionInput.Patch2)'; |
---|
| 812 | list_param(strcmp('TestPatch2',list_param))=[];% remove the parameter TestCiv1 from the list |
---|
[852] | 813 | Patch2_param=regexprep(list_param,'^.+','Patch2_$0');% insert 'Fix1_' before each string in ListFixParam |
---|
[859] | 814 | %indicate the values of all the global attributes in the output data |
---|
[852] | 815 | for ilist=1:length(list_param) |
---|
| 816 | Data.(Patch2_param{ilist})=Param.ActionInput.Patch2.(list_param{ilist}); |
---|
| 817 | end |
---|
| 818 | Data.ListGlobalAttribute=[Data.ListGlobalAttribute Patch2_param]; |
---|
| 819 | |
---|
[598] | 820 | nbvar=length(Data.ListVarName); |
---|
| 821 | Data.ListVarName=[Data.ListVarName {'Civ2_U_smooth','Civ2_V_smooth','Civ2_SubRange','Civ2_NbCentres','Civ2_Coord_tps','Civ2_U_tps','Civ2_V_tps'}]; |
---|
| 822 | Data.VarDimName=[Data.VarDimName {'nb_vec_2','nb_vec_2',{'nb_coord','nb_bounds','nb_subdomain_2'},{'nb_subdomain_2'},... |
---|
| 823 | {'nb_tps_2','nb_coord','nb_subdomain_2'},{'nb_tps_2','nb_subdomain_2'},{'nb_tps_2','nb_subdomain_2'}}]; |
---|
| 824 | |
---|
| 825 | Data.VarAttribute{nbvar+1}.Role='vector_x'; |
---|
| 826 | Data.VarAttribute{nbvar+2}.Role='vector_y'; |
---|
| 827 | Data.VarAttribute{nbvar+5}.Role='coord_tps'; |
---|
| 828 | Data.VarAttribute{nbvar+6}.Role='vector_x'; |
---|
| 829 | Data.VarAttribute{nbvar+7}.Role='vector_y'; |
---|
[860] | 830 | Data.Civ2_U_smooth=Data.Civ2_U; % zeros(size(Data.Civ2_X)); |
---|
| 831 | Data.Civ2_V_smooth=Data.Civ2_V; %zeros(size(Data.Civ2_X)); |
---|
[598] | 832 | if isfield(Data,'Civ2_FF') |
---|
| 833 | ind_good=find(Data.Civ2_FF==0); |
---|
[597] | 834 | else |
---|
[598] | 835 | ind_good=1:numel(Data.Civ2_X); |
---|
[597] | 836 | end |
---|
[598] | 837 | [Data.Civ2_SubRange,Data.Civ2_NbCentres,Data.Civ2_Coord_tps,Data.Civ2_U_tps,Data.Civ2_V_tps,tild,Ures, Vres,tild,FFres]=... |
---|
| 838 | 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); |
---|
| 839 | Data.Civ2_U_smooth(ind_good)=Ures; |
---|
| 840 | Data.Civ2_V_smooth(ind_good)=Vres; |
---|
| 841 | Data.Civ2_FF(ind_good)=FFres; |
---|
| 842 | Data.CivStage=Data.CivStage+1; |
---|
[597] | 843 | end |
---|
[598] | 844 | |
---|
| 845 | %% write result in a netcdf file if requested |
---|
[859] | 846 | if CheckOutputFile |
---|
[598] | 847 | errormsg=struct2nc(ncfile,Data); |
---|
| 848 | if isempty(errormsg) |
---|
| 849 | disp([ncfile ' written']) |
---|
| 850 | else |
---|
| 851 | disp(errormsg) |
---|
| 852 | end |
---|
| 853 | end |
---|
[597] | 854 | end |
---|
[878] | 855 | disp(['ellapsed time ' num2str(toc) ' s']) |
---|
[597] | 856 | |
---|
[598] | 857 | % 'civ': function piv.m adapted from PIVlab http://pivlab.blogspot.com/ |
---|
| 858 | %-------------------------------------------------------------------------- |
---|
| 859 | % function [xtable ytable utable vtable typevector] = civ (image1,image2,ibx,iby step, subpixfinder, mask, roi) |
---|
| 860 | % |
---|
| 861 | % OUTPUT: |
---|
| 862 | % xtable: set of x coordinates |
---|
| 863 | % ytable: set of y coordiantes |
---|
| 864 | % utable: set of u displacements (along x) |
---|
| 865 | % vtable: set of v displacements (along y) |
---|
| 866 | % ctable: max image correlation for each vector |
---|
| 867 | % typevector: set of flags, =1 for good, =0 for NaN vectors |
---|
| 868 | % |
---|
| 869 | %INPUT: |
---|
| 870 | % par_civ: structure of input parameters, with fields: |
---|
[856] | 871 | % .ImageA: first image for correlation (matrix) |
---|
| 872 | % .ImageB: second image for correlation(matrix) |
---|
| 873 | % .CorrBoxSize: 1,2 vector giving the size of the correlation box in x and y |
---|
| 874 | % .SearchBoxSize: 1,2 vector giving the size of the search box in x and y |
---|
| 875 | % .SearchBoxShift: 1,2 vector or 2 column matrix (for civ2) giving the shift of the search box in x and y |
---|
| 876 | % .CorrSmooth: =1 or 2 determines the choice of the sub-pixel determination of the correlation max |
---|
| 877 | % .ImageWidth: nb of pixels of the image in x |
---|
| 878 | % .Dx, Dy: mesh for the PIV calculation |
---|
[862] | 879 | % .Grid: grid giving the PIV calculation points (alternative to .Dx .Dy): centres of the correlation boxes in Image A |
---|
[856] | 880 | % .Mask: name of a mask file or mask image matrix itself |
---|
| 881 | % .MinIma: thresholds for image luminosity |
---|
[598] | 882 | % .MaxIma |
---|
[856] | 883 | % .CheckDeformation=1 for subpixel interpolation and image deformation (linear transform) |
---|
| 884 | % .DUDX: matrix of deformation obtained from patch at each grid point |
---|
| 885 | % .DUDY |
---|
| 886 | % .DVDX: |
---|
| 887 | % .DVDY |
---|
| 888 | |
---|
[855] | 889 | function [xtable,ytable,utable,vtable,ctable,F,result_conv,errormsg] = civ (par_civ) |
---|
[598] | 890 | |
---|
| 891 | %% prepare measurement grid |
---|
[862] | 892 | if isfield(par_civ,'Grid')% grid points set as input, central positions of the sub-images in image A |
---|
| 893 | if ischar(par_civ.Grid)%read the grid file if the input is a file name (grid in x, y image coordinates) |
---|
[598] | 894 | par_civ.Grid=dlmread(par_civ.Grid); |
---|
| 895 | par_civ.Grid(1,:)=[];%the first line must be removed (heading in the grid file) |
---|
| 896 | end |
---|
[862] | 897 | % else par_civ.Grid is already an array, no action here |
---|
| 898 | else% automatic grid in x, y image coordinates |
---|
[598] | 899 | minix=floor(par_civ.Dx/2)-0.5; |
---|
| 900 | maxix=minix+par_civ.Dx*floor((par_civ.ImageWidth-1)/par_civ.Dx); |
---|
[862] | 901 | miniy=floor(par_civ.Dy/2)-0.5;% first automatic grid point at half the mesh Dy |
---|
[598] | 902 | maxiy=minix+par_civ.Dy*floor((par_civ.ImageHeight-1)/par_civ.Dy); |
---|
| 903 | [GridX,GridY]=meshgrid(minix:par_civ.Dx:maxix,miniy:par_civ.Dy:maxiy); |
---|
| 904 | par_civ.Grid(:,1)=reshape(GridX,[],1); |
---|
[862] | 905 | par_civ.Grid(:,2)=reshape(GridY,[],1);% increases with array index |
---|
[597] | 906 | end |
---|
[598] | 907 | nbvec=size(par_civ.Grid,1); |
---|
| 908 | |
---|
[859] | 909 | %% prepare correlation and search boxes |
---|
[876] | 910 | ibx2=floor(par_civ.CorrBoxSize(1)/2); |
---|
| 911 | iby2=floor(par_civ.CorrBoxSize(2)/2); |
---|
| 912 | isx2=floor(par_civ.SearchBoxSize(1)/2); |
---|
| 913 | isy2=floor(par_civ.SearchBoxSize(2)/2); |
---|
[862] | 914 | shiftx=round(par_civ.SearchBoxShift(:,1));%use the input shift estimate, rounded to the next integer value |
---|
[598] | 915 | shifty=-round(par_civ.SearchBoxShift(:,2));% sign minus because image j index increases when y decreases |
---|
| 916 | if numel(shiftx)==1% case of a unique shift for the whole field( civ1) |
---|
| 917 | shiftx=shiftx*ones(nbvec,1); |
---|
| 918 | shifty=shifty*ones(nbvec,1); |
---|
| 919 | end |
---|
| 920 | |
---|
[862] | 921 | %% Array initialisation and default output if par_civ.CorrSmooth=0 (just the grid calculated, no civ computation) |
---|
| 922 | xtable=round(par_civ.Grid(:,1)+0.5)-0.5; |
---|
| 923 | ytable=round(par_civ.ImageHeight-par_civ.Grid(:,2)+0.5)-0.5;% y index corresponding to the position in image coordiantes |
---|
| 924 | utable=shiftx;%zeros(nbvec,1); |
---|
| 925 | vtable=shifty;%zeros(nbvec,1); |
---|
[598] | 926 | ctable=zeros(nbvec,1); |
---|
| 927 | F=zeros(nbvec,1); |
---|
| 928 | result_conv=[]; |
---|
| 929 | errormsg=''; |
---|
[859] | 930 | |
---|
[598] | 931 | %% prepare mask |
---|
| 932 | if isfield(par_civ,'Mask') && ~isempty(par_civ.Mask) |
---|
| 933 | if strcmp(par_civ.Mask,'all') |
---|
| 934 | return % get the grid only, no civ calculation |
---|
| 935 | elseif ischar(par_civ.Mask) |
---|
[856] | 936 | par_civ.Mask=imread(par_civ.Mask);% read the mask if not allready done |
---|
[598] | 937 | end |
---|
| 938 | end |
---|
| 939 | check_MinIma=isfield(par_civ,'MinIma');% test for image luminosity threshold |
---|
| 940 | check_MaxIma=isfield(par_civ,'MaxIma') && ~isempty(par_civ.MaxIma); |
---|
| 941 | |
---|
| 942 | par_civ.ImageA=sum(double(par_civ.ImageA),3);%sum over rgb component for color images |
---|
| 943 | par_civ.ImageB=sum(double(par_civ.ImageB),3); |
---|
| 944 | [npy_ima npx_ima]=size(par_civ.ImageA); |
---|
| 945 | if ~isequal(size(par_civ.ImageB),[npy_ima npx_ima]) |
---|
| 946 | errormsg='image pair with unequal size'; |
---|
[597] | 947 | return |
---|
| 948 | end |
---|
| 949 | |
---|
[598] | 950 | %% Apply mask |
---|
[859] | 951 | % Convention for mask IDEAS TO IMPLEMENT ? |
---|
| 952 | % mask >200 : velocity calculated |
---|
| 953 | % 200 >=mask>150;velocity not calculated, interpolation allowed (bad spots) |
---|
| 954 | % 150>=mask >100: velocity not calculated, nor interpolated |
---|
| 955 | % 100>=mask> 20: velocity not calculated, impermeable (no flux through mask boundaries) |
---|
| 956 | % 20>=mask: velocity=0 |
---|
[598] | 957 | checkmask=0; |
---|
| 958 | MinA=min(min(par_civ.ImageA)); |
---|
[873] | 959 | %MinB=min(min(par_civ.ImageB)); |
---|
[879] | 960 | %check_undefined=false(size(par_civ.ImageA)); |
---|
[598] | 961 | if isfield(par_civ,'Mask') && ~isempty(par_civ.Mask) |
---|
[859] | 962 | checkmask=1; |
---|
| 963 | if ~isequal(size(par_civ.Mask),[npy_ima npx_ima]) |
---|
[598] | 964 | errormsg='mask must be an image with the same size as the images'; |
---|
| 965 | return |
---|
[859] | 966 | end |
---|
[598] | 967 | check_undefined=(par_civ.Mask<200 & par_civ.Mask>=20 ); |
---|
[876] | 968 | % par_civ.ImageA(check_undefined)=0;% put image A to zero (i.e. the min image value) in the undefined area |
---|
| 969 | % par_civ.ImageB(check_undefined)=0;% put image B to zero (i.e. the min image value) in the undefined area |
---|
[598] | 970 | end |
---|
| 971 | |
---|
| 972 | %% compute image correlations: MAINLOOP on velocity vectors |
---|
| 973 | corrmax=0; |
---|
| 974 | sum_square=1;% default |
---|
| 975 | mesh=1;% default |
---|
[856] | 976 | CheckDeformation=isfield(par_civ,'CheckDeformation')&& par_civ.CheckDeformation==1; |
---|
| 977 | if CheckDeformation |
---|
| 978 | mesh=0.25;%mesh in pixels for subpixel image interpolation (x 4 in each direction) |
---|
[885] | 979 | par_civ.CorrSmooth=2;% use SUBPIX2DGAUSS (take into account more points near the max) |
---|
[598] | 980 | end |
---|
[862] | 981 | |
---|
| 982 | if par_civ.CorrSmooth~=0 % par_civ.CorrSmooth=0 implies no civ computation (just input image and grid points given) |
---|
[856] | 983 | for ivec=1:nbvec |
---|
| 984 | iref=round(par_civ.Grid(ivec,1)+0.5);% xindex on the image A for the middle of the correlation box |
---|
[862] | 985 | 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 |
---|
[856] | 986 | F(ivec)=0; |
---|
| 987 | subrange1_x=iref-ibx2:iref+ibx2;% x indices defining the first subimage |
---|
| 988 | subrange1_y=jref-iby2:jref+iby2;% y indices defining the first subimage |
---|
| 989 | subrange2_x=iref+shiftx(ivec)-isx2:iref+shiftx(ivec)+isx2;%x indices defining the second subimage |
---|
| 990 | subrange2_y=jref+shifty(ivec)-isy2:jref+shifty(ivec)+isy2;%y indices defining the second subimage |
---|
| 991 | image1_crop=MinA*ones(numel(subrange1_y),numel(subrange1_x));% default value=min of image A |
---|
| 992 | image2_crop=MinA*ones(numel(subrange2_y),numel(subrange2_x));% default value=min of image A |
---|
| 993 | check1_x=subrange1_x>=1 & subrange1_x<=par_civ.ImageWidth;% check which points in the subimage 1 are contained in the initial image 1 |
---|
| 994 | check1_y=subrange1_y>=1 & subrange1_y<=par_civ.ImageHeight; |
---|
| 995 | check2_x=subrange2_x>=1 & subrange2_x<=par_civ.ImageWidth;% check which points in the subimage 2 are contained in the initial image 2 |
---|
[859] | 996 | check2_y=subrange2_y>=1 & subrange2_y<=par_civ.ImageHeight; |
---|
[856] | 997 | 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 |
---|
| 998 | 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 |
---|
[879] | 999 | if checkmask |
---|
| 1000 | mask1_crop=ones(numel(subrange1_y),numel(subrange1_x));% default value=1 for mask |
---|
| 1001 | mask2_crop=ones(numel(subrange2_y),numel(subrange2_x));% default value=1 for mask |
---|
| 1002 | 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 |
---|
| 1003 | 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 |
---|
| 1004 | sizemask=sum(sum(mask1_crop))/(numel(subrange1_y)*numel(subrange1_x));%size of the masked part relative to the correlation sub-image |
---|
| 1005 | if sizemask > 1/2% eliminate point if more than half of the correlation box is masked |
---|
| 1006 | F(ivec)=3; % |
---|
| 1007 | else |
---|
| 1008 | image1_crop=image1_crop.*~mask1_crop;% put to zero the masked pixels (mask1_crop='true'=1) |
---|
| 1009 | image2_crop=image2_crop.*~mask2_crop; |
---|
| 1010 | image1_mean=mean(mean(image1_crop))/(1-sizemask); |
---|
| 1011 | image2_mean=mean(mean(image2_crop))/(1-sizemask); |
---|
| 1012 | end |
---|
[873] | 1013 | else |
---|
[879] | 1014 | image1_mean=mean(mean(image1_crop)); |
---|
| 1015 | image2_mean=mean(mean(image2_crop)); |
---|
[856] | 1016 | end |
---|
[879] | 1017 | %threshold on image minimum |
---|
[856] | 1018 | if F(ivec)~=3 |
---|
[880] | 1019 | if check_MinIma && (image1_mean < par_civ.MinIma || image2_mean < par_civ.MinIma) |
---|
| 1020 | F(ivec)=3; |
---|
| 1021 | %threshold on image maximum |
---|
| 1022 | elseif check_MaxIma && (image1_mean > par_civ.MaxIma || image2_mean > par_civ.MaxIma) |
---|
| 1023 | F(ivec)=3; |
---|
[879] | 1024 | end |
---|
[880] | 1025 | if F(ivec)~=3 |
---|
| 1026 | %mask |
---|
| 1027 | if checkmask |
---|
| 1028 | image1_crop=(image1_crop-image1_mean).*~mask1_crop;%substract the mean, put to zero the masked parts |
---|
| 1029 | image2_crop=(image2_crop-image2_mean).*~mask2_crop; |
---|
| 1030 | else |
---|
| 1031 | image1_crop=(image1_crop-image1_mean); |
---|
| 1032 | image2_crop=(image2_crop-image2_mean); |
---|
| 1033 | end |
---|
| 1034 | %deformation |
---|
| 1035 | if CheckDeformation |
---|
| 1036 | xi=(1:mesh:size(image1_crop,2)); |
---|
| 1037 | yi=(1:mesh:size(image1_crop,1))'; |
---|
| 1038 | [XI,YI]=meshgrid(xi-ceil(size(image1_crop,2)/2),yi-ceil(size(image1_crop,1)/2)); |
---|
[883] | 1039 | XIant=XI-par_civ.DUDX(ivec)*XI+par_civ.DUDY(ivec)*YI+ceil(size(image1_crop,2)/2); |
---|
| 1040 | YIant=YI+par_civ.DVDX(ivec)*XI-par_civ.DVDY(ivec)*YI+ceil(size(image1_crop,1)/2); |
---|
[880] | 1041 | image1_crop=interp2(image1_crop,XIant,YIant); |
---|
| 1042 | image1_crop(isnan(image1_crop))=0; |
---|
| 1043 | xi=(1:mesh:size(image2_crop,2)); |
---|
| 1044 | yi=(1:mesh:size(image2_crop,1))'; |
---|
| 1045 | image2_crop=interp2(image2_crop,xi,yi,'*spline'); |
---|
| 1046 | image2_crop(isnan(image2_crop))=0; |
---|
| 1047 | end |
---|
| 1048 | sum_square=sum(sum(image1_crop.*image1_crop)); |
---|
| 1049 | %reference: Oliver Pust, PIV: Direct Cross-Correlation |
---|
| 1050 | result_conv= conv2(image2_crop,flipdim(flipdim(image1_crop,2),1),'valid'); |
---|
| 1051 | corrmax= max(max(result_conv)); |
---|
| 1052 | result_conv=(result_conv/corrmax)*255; %normalize, peak=always 255 |
---|
| 1053 | %Find the correlation max, at 255 |
---|
| 1054 | [y,x] = find(result_conv==255,1); |
---|
| 1055 | 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 |
---|
| 1056 | sum_square=sum_square*sum(sum(subimage2_crop.*subimage2_crop));% product of variances of image 1 and 2 |
---|
| 1057 | sum_square=sqrt(sum_square);% srt of the variance product to normalise correlation |
---|
| 1058 | if ~isempty(y) && ~isempty(x) |
---|
| 1059 | try |
---|
| 1060 | if par_civ.CorrSmooth==1 |
---|
| 1061 | [vector,F(ivec)] = SUBPIXGAUSS (result_conv,x,y); |
---|
| 1062 | elseif par_civ.CorrSmooth==2 |
---|
| 1063 | [vector,F(ivec)] = SUBPIX2DGAUSS (result_conv,x,y); |
---|
| 1064 | else |
---|
| 1065 | [vector,F(ivec)] = quadr_fit(result_conv,x,y); |
---|
| 1066 | end |
---|
| 1067 | utable(ivec)=vector(1)*mesh+shiftx(ivec); |
---|
| 1068 | vtable(ivec)=vector(2)*mesh+shifty(ivec); |
---|
| 1069 | xtable(ivec)=iref+utable(ivec)/2-0.5;% convec flow (velocity taken at the point middle from imgae 1 and 2) |
---|
| 1070 | ytable(ivec)=jref+vtable(ivec)/2-0.5;% and position of pixel 1=0.5 (convention for image coordinates=0 at the edge) |
---|
| 1071 | iref=round(xtable(ivec));% nearest image index for the middle of the vector |
---|
| 1072 | jref=round(ytable(ivec)); |
---|
| 1073 | % eliminate vectors located in the mask |
---|
| 1074 | if checkmask && par_civ.Mask(jref,iref)<200 && par_civ.Mask(jref,iref)>=100 |
---|
| 1075 | utable(ivec)=0; |
---|
| 1076 | vtable(ivec)=0; |
---|
| 1077 | F(ivec)=3; |
---|
| 1078 | end |
---|
| 1079 | ctable(ivec)=corrmax/sum_square;% correlation value |
---|
| 1080 | catch ME |
---|
[856] | 1081 | F(ivec)=3; |
---|
| 1082 | end |
---|
[880] | 1083 | else |
---|
[598] | 1084 | F(ivec)=3; |
---|
| 1085 | end |
---|
[597] | 1086 | end |
---|
| 1087 | end |
---|
[598] | 1088 | end |
---|
| 1089 | end |
---|
| 1090 | result_conv=result_conv*corrmax/(255*sum_square);% keep the last correlation matrix for output |
---|
| 1091 | |
---|
| 1092 | %------------------------------------------------------------------------ |
---|
| 1093 | % --- Find the maximum of the correlation function after interpolation |
---|
[862] | 1094 | % OUPUT: |
---|
| 1095 | % vector = optimum displacement vector with subpixel correction |
---|
| 1096 | % F =flag: =0 OK |
---|
| 1097 | % =-2 , warning: max too close to the edge of the search box (1 pixel margin) |
---|
| 1098 | % INPUT: |
---|
| 1099 | % x,y: position of the maximum correlation at integer values |
---|
| 1100 | |
---|
[598] | 1101 | function [vector,F] = SUBPIXGAUSS (result_conv,x,y) |
---|
| 1102 | %------------------------------------------------------------------------ |
---|
[862] | 1103 | % vector=[0 0]; %default |
---|
[598] | 1104 | F=0; |
---|
| 1105 | [npy,npx]=size(result_conv); |
---|
[731] | 1106 | result_conv(result_conv<1)=1; %set to 1 correlation values smaller than 1 (to avoid divergence in the log) |
---|
| 1107 | %the following 8 lines are copyright (c) 1998, Uri Shavit, Roi Gurka, Alex Liberzon, Technion ï¿œ Israel Institute of Technology |
---|
| 1108 | %http://urapiv.wordpress.com |
---|
| 1109 | peaky = y; |
---|
| 1110 | if y <= npy-1 && y >= 1 |
---|
| 1111 | f0 = log(result_conv(y,x)); |
---|
| 1112 | f1 = log(result_conv(y-1,x)); |
---|
| 1113 | f2 = log(result_conv(y+1,x)); |
---|
| 1114 | peaky = peaky+ (f1-f2)/(2*f1-4*f0+2*f2); |
---|
| 1115 | else |
---|
| 1116 | F=-2; % warning flag for vector truncated by the limited search box |
---|
| 1117 | end |
---|
| 1118 | peakx=x; |
---|
| 1119 | if x <= npx-1 && x >= 1 |
---|
| 1120 | f0 = log(result_conv(y,x)); |
---|
| 1121 | f1 = log(result_conv(y,x-1)); |
---|
| 1122 | f2 = log(result_conv(y,x+1)); |
---|
| 1123 | peakx = peakx+ (f1-f2)/(2*f1-4*f0+2*f2); |
---|
| 1124 | else |
---|
| 1125 | F=-2; % warning flag for vector truncated by the limited search box |
---|
| 1126 | end |
---|
| 1127 | vector=[peakx-floor(npx/2)-1 peaky-floor(npy/2)-1]; |
---|
[598] | 1128 | |
---|
| 1129 | %------------------------------------------------------------------------ |
---|
| 1130 | % --- Find the maximum of the correlation function after interpolation |
---|
| 1131 | function [vector,F] = SUBPIX2DGAUSS (result_conv,x,y) |
---|
| 1132 | %------------------------------------------------------------------------ |
---|
[862] | 1133 | % vector=[0 0]; %default |
---|
[598] | 1134 | F=-2; |
---|
| 1135 | peaky=y; |
---|
| 1136 | peakx=x; |
---|
[731] | 1137 | result_conv(result_conv<1)=1; %set to 1 correlation values smaller than 1 (to avoid divergence in the log) |
---|
[598] | 1138 | [npy,npx]=size(result_conv); |
---|
| 1139 | if (x <= npx-1) && (y <= npy-1) && (x >= 1) && (y >= 1) |
---|
| 1140 | F=0; |
---|
| 1141 | for i=-1:1 |
---|
| 1142 | for j=-1:1 |
---|
| 1143 | %following 15 lines based on |
---|
| 1144 | %H. Nobach ï¿œ M. Honkanen (2005) |
---|
| 1145 | %Two-dimensional Gaussian regression for sub-pixel displacement |
---|
| 1146 | %estimation in particle image velocimetry or particle position |
---|
| 1147 | %estimation in particle tracking velocimetry |
---|
| 1148 | %Experiments in Fluids (2005) 38: 511ï¿œ515 |
---|
| 1149 | c10(j+2,i+2)=i*log(result_conv(y+j, x+i)); |
---|
| 1150 | c01(j+2,i+2)=j*log(result_conv(y+j, x+i)); |
---|
| 1151 | c11(j+2,i+2)=i*j*log(result_conv(y+j, x+i)); |
---|
| 1152 | c20(j+2,i+2)=(3*i^2-2)*log(result_conv(y+j, x+i)); |
---|
| 1153 | c02(j+2,i+2)=(3*j^2-2)*log(result_conv(y+j, x+i)); |
---|
| 1154 | end |
---|
| 1155 | end |
---|
| 1156 | c10=(1/6)*sum(sum(c10)); |
---|
| 1157 | c01=(1/6)*sum(sum(c01)); |
---|
| 1158 | c11=(1/4)*sum(sum(c11)); |
---|
| 1159 | c20=(1/6)*sum(sum(c20)); |
---|
[859] | 1160 | c02=(1/6)*sum(sum(c02)); |
---|
[598] | 1161 | deltax=(c11*c01-2*c10*c02)/(4*c20*c02-c11^2); |
---|
| 1162 | deltay=(c11*c10-2*c01*c20)/(4*c20*c02-c11^2); |
---|
| 1163 | if abs(deltax)<1 |
---|
| 1164 | peakx=x+deltax; |
---|
| 1165 | end |
---|
| 1166 | if abs(deltay)<1 |
---|
| 1167 | peaky=y+deltay; |
---|
| 1168 | end |
---|
| 1169 | end |
---|
| 1170 | vector=[peakx-floor(npx/2)-1 peaky-floor(npy/2)-1]; |
---|
| 1171 | |
---|
[876] | 1172 | %------------------------------------------------------------------------ |
---|
| 1173 | % --- Find the maximum of the correlation function after quadratic interpolation |
---|
| 1174 | function [vector,F] = quadr_fit(result_conv,x,y) |
---|
| 1175 | [npy,npx]=size(result_conv); |
---|
| 1176 | if x<4 || y<4 || npx-x<4 ||npy-y <4 |
---|
| 1177 | F=-2; |
---|
| 1178 | vector=[x y]; |
---|
| 1179 | else |
---|
| 1180 | F=0; |
---|
| 1181 | x_ind=x-4:x+4; |
---|
| 1182 | y_ind=y-4:y+4; |
---|
| 1183 | x_vec=0.25*(x_ind-x); |
---|
| 1184 | y_vec=0.25*(y_ind-y); |
---|
| 1185 | [X,Y]=meshgrid(x_vec,y_vec); |
---|
| 1186 | coord=[reshape(X,[],1) reshape(Y,[],1)]; |
---|
| 1187 | result_conv=reshape(result_conv(y_ind,x_ind),[],1); |
---|
| 1188 | |
---|
| 1189 | |
---|
| 1190 | % n=numel(X); |
---|
| 1191 | % x=[X Y]; |
---|
| 1192 | % X=X-0.5; |
---|
| 1193 | % Y=Y+0.5; |
---|
| 1194 | % y = (X.*X+2*Y.*Y+X.*Y+6) + 0.1*rand(n,1); |
---|
| 1195 | p = polyfitn(coord,result_conv,2); |
---|
| 1196 | A(1,1)=2*p.Coefficients(1); |
---|
| 1197 | A(1,2)=p.Coefficients(2); |
---|
| 1198 | A(2,1)=p.Coefficients(2); |
---|
| 1199 | A(2,2)=2*p.Coefficients(4); |
---|
| 1200 | vector=[x y]'-A\[p.Coefficients(3) p.Coefficients(5)]'; |
---|
| 1201 | vector=vector'-[floor(npx/2) floor(npy/2)]-1 ; |
---|
| 1202 | % zg = polyvaln(p,coord); |
---|
| 1203 | % figure |
---|
| 1204 | % surf(x_vec,y_vec,reshape(zg,9,9)) |
---|
| 1205 | % hold on |
---|
| 1206 | % plot3(X,Y,reshape(result_conv,9,9),'o') |
---|
| 1207 | % hold off |
---|
| 1208 | end |
---|
| 1209 | |
---|
[598] | 1210 | %'RUN_FIX': function for fixing velocity fields: |
---|
| 1211 | %----------------------------------------------- |
---|
| 1212 | % RUN_FIX(filename,field,flagindex,thresh_vecC,thresh_vel,iter,flag_mask,maskname,fileref,fieldref) |
---|
| 1213 | % |
---|
| 1214 | %filename: name of the netcdf file (used as input and output) |
---|
| 1215 | %field: structure specifying the names of the fields to fix (depending on civ1 or civ2) |
---|
[859] | 1216 | %.vel_type='civ1' or 'civ2'; |
---|
| 1217 | %.nb=name of the dimension common to the field to fix ('nb_vectors' for civ1); |
---|
| 1218 | %.fixflag=name of fix flag variable ('vec_FixFlag' for civ1) |
---|
| 1219 | %flagindex: flag specifying which values of vec_f are removed: |
---|
| 1220 | % if flagindex(1)=1: vec_f=-2 vectors are removed |
---|
| 1221 | % if flagindex(2)=1: vec_f=3 vectors are removed |
---|
| 1222 | % if flagindex(3)=1: vec_f=2 vectors are removed (if iter=1) or vec_f=4 vectors are removed (if iter=2) |
---|
[598] | 1223 | %iter=1 for civ1 fields and iter=2 for civ2 fields |
---|
| 1224 | %thresh_vecC: threshold in the image correlation vec_C |
---|
| 1225 | %flag_mask: =1 mask used to remove vectors (0 else) |
---|
| 1226 | %maskname: name of the mask image file for fix |
---|
| 1227 | %thresh_vel: threshold on velocity, or on the difference with the reference file fileref if exists |
---|
| 1228 | %inf_sup=1: remove values smaller than threshold thresh_vel, =2, larger than threshold |
---|
| 1229 | %fileref: .nc file name for a reference velocity (='': refrence 0 used) |
---|
| 1230 | %fieldref: 'civ1','filter1'...feld used in fileref |
---|
| 1231 | |
---|
| 1232 | function FF=fix(Param,F,C,U,V,X,Y) |
---|
| 1233 | FF=zeros(size(F));%default |
---|
| 1234 | |
---|
| 1235 | %criterium on warn flags |
---|
| 1236 | FlagName={'CheckFmin2','CheckF2','CheckF3','CheckF4'}; |
---|
| 1237 | FlagVal=[-2 2 3 4]; |
---|
| 1238 | for iflag=1:numel(FlagName) |
---|
| 1239 | if isfield(Param,FlagName{iflag}) && Param.(FlagName{iflag}) |
---|
| 1240 | FF=(FF==1| F==FlagVal(iflag)); |
---|
| 1241 | end |
---|
| 1242 | end |
---|
| 1243 | %criterium on correlation values |
---|
| 1244 | if isfield (Param,'MinCorr') |
---|
| 1245 | FF=FF==1 | C<Param.MinCorr; |
---|
| 1246 | end |
---|
| 1247 | if (isfield(Param,'MinVel')&&~isempty(Param.MinVel))||(isfield (Param,'MaxVel')&&~isempty(Param.MaxVel)) |
---|
| 1248 | Umod= U.*U+V.*V; |
---|
| 1249 | if isfield (Param,'MinVel')&&~isempty(Param.MinVel) |
---|
| 1250 | FF=FF==1 | Umod<(Param.MinVel*Param.MinVel); |
---|
| 1251 | end |
---|
| 1252 | if isfield (Param,'MaxVel')&&~isempty(Param.MaxVel) |
---|
| 1253 | FF=FF==1 | Umod>(Param.MaxVel*Param.MaxVel); |
---|
| 1254 | end |
---|
| 1255 | end |
---|
| 1256 | |
---|
| 1257 | |
---|
| 1258 | %------------------------------------------------------------------------ |
---|
| 1259 | % --- determine the list of index pairs of processing file |
---|
| 1260 | function [i1_series,i2_series,j1_series,j2_series,check_bounds,NomTypeNc]=... |
---|
[635] | 1261 | find_pair_indices(str_civ,i_series,j_series,MinIndex_i,MaxIndex_i,MinIndex_j,MaxIndex_j) |
---|
[598] | 1262 | %------------------------------------------------------------------------ |
---|
[610] | 1263 | i1_series=i_series;% set of first image indexes |
---|
[598] | 1264 | i2_series=i_series; |
---|
[819] | 1265 | j1_series=j_series;%ones(size(i_series));% set of first image numbers |
---|
| 1266 | j2_series=j_series;%ones(size(i_series)); |
---|
[610] | 1267 | r=regexp(str_civ,'^\D(?<ind>[i|j])=( -| )(?<num1>\d+)\|(?<num2>\d+)','names'); |
---|
[598] | 1268 | if ~isempty(r) |
---|
| 1269 | mode=['D' r.ind]; |
---|
| 1270 | ind1=str2num(r.num1); |
---|
| 1271 | ind2=str2num(r.num2); |
---|
| 1272 | else |
---|
[668] | 1273 | mode='j1-j2'; |
---|
[598] | 1274 | r=regexp(str_civ,'^j= (?<num1>[a-z])-(?<num2>[a-z])','names'); |
---|
| 1275 | if ~isempty(r) |
---|
| 1276 | NomTypeNc='_1ab'; |
---|
| 1277 | else |
---|
| 1278 | r=regexp(str_civ,'^j= (?<num1>[A-Z])-(?<num2>[A-Z])','names'); |
---|
| 1279 | if ~isempty(r) |
---|
| 1280 | NomTypeNc='_1AB'; |
---|
[597] | 1281 | else |
---|
[598] | 1282 | r=regexp(str_civ,'^j= (?<num1>\d+)-(?<num2>\d+)','names'); |
---|
| 1283 | if ~isempty(r) |
---|
| 1284 | NomTypeNc='_1_1-2'; |
---|
[859] | 1285 | end |
---|
[597] | 1286 | end |
---|
| 1287 | end |
---|
[598] | 1288 | if isempty(r) |
---|
| 1289 | display('wrong pair mode input option') |
---|
| 1290 | else |
---|
[859] | 1291 | ind1=stra2num(r.num1); |
---|
| 1292 | ind2=stra2num(r.num2); |
---|
[598] | 1293 | end |
---|
[597] | 1294 | end |
---|
[819] | 1295 | switch mode |
---|
| 1296 | case 'Di' |
---|
| 1297 | i1_series=i_series-ind1;% set of first image numbers |
---|
| 1298 | i2_series=i_series+ind2; |
---|
| 1299 | check_bounds=i1_series<MinIndex_i | i2_series>MaxIndex_i; |
---|
| 1300 | if isempty(j_series) |
---|
| 1301 | NomTypeNc='_1-2'; |
---|
| 1302 | else |
---|
| 1303 | j1_series=j_series; |
---|
| 1304 | j2_series=j_series; |
---|
| 1305 | NomTypeNc='_1-2_1'; |
---|
| 1306 | end |
---|
| 1307 | case 'Dj' |
---|
| 1308 | j1_series=j_series-ind1; |
---|
| 1309 | j2_series=j_series+ind2; |
---|
| 1310 | check_bounds=j1_series<MinIndex_j | j2_series>MaxIndex_j; |
---|
| 1311 | NomTypeNc='_1_1-2'; |
---|
| 1312 | otherwise %bursts |
---|
| 1313 | i1_series=i_series(1,:);% do not sweep the j index |
---|
| 1314 | i2_series=i_series(1,:); |
---|
| 1315 | j1_series=ind1*ones(1,size(i_series,2));% j index is fixed by pair choice |
---|
| 1316 | j2_series=ind2*ones(1,size(i_series,2)); |
---|
| 1317 | check_bounds=zeros(size(i1_series));% no limitations due to min-max indices |
---|
[598] | 1318 | end |
---|
[597] | 1319 | |
---|
[598] | 1320 | |
---|
| 1321 | |
---|
| 1322 | |
---|