source: trunk/src/series/float_tracking.m @ 690

% function ParamOut=particle_tracking(Param)
%
% Method: 
   
% Organization of image indices:
    
%INPUT:
% num_i1: matrix of image indices i
% num_j1: matrix of image indices j, must be the same size as num_i1
% num_i2 and num_j2: not used for a function acting on images
% Series: matlab structure containing parameters, as defined by the interface UVMAT/series
%       Series.RootPath{1}: path to the image series
%       Series.RootFile{1}: root file name
%       Series.FileExt{1}: image file extension 
%       Series.NomType{1}: nomenclature type for file in
%
% Method: 
%       Series.NbSlice: %number of slices defined on the interface
% global A rangx0 rangy0 minA maxA; % make current image A accessible in workspace
% global hfig1 hfig2 scalar
% global Abackg nbpart lum diam
%%%%%%%%%%%%%%ù
%
%%%%%%%%%%% GENERAL TO ALL SERIES ACTION FCTS %%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%OUTPUT
% ParamOut: sets options in the GUI series.fig needed for the function
%
%INPUT:
% In run mode, the input parameters are given as a Matlab structure Param copied from the GUI series.
% In batch mode, Param is the name of the corresponding xml file containing the same information
% when Param.Action.RUN=0 (as activated when the current Action is selected
% in series), the function ouput paramOut set the activation of the needed GUI elements
%
% Param contains the elements:(use the menu bar command 'export/GUI config' in series to 
% see the current structure Param)
%    .InputTable: cell of input file names, (several lines for multiple input)
%                      each line decomposed as {RootPath,SubDir,Rootfile,NomType,Extension}
%    .OutputSubDir: name of the subdirectory for data outputs
%    .OutputDirExt: directory extension for data outputs
%    .Action: .ActionName: name of the current activated function
%             .ActionPath:   path of the current activated function
%             .ActionExt: fct extension ('.m', Matlab fct, '.sh', compiled   Matlab fct
%             .RUN =0 for GUI input, =1 for function activation
%             .RunMode='local','background', 'cluster': type of function  use
%             
%    .IndexRange: set the file or frame indices on which the action must be performed
%    .FieldTransform: .TransformName: name of the selected transform function
%                     .TransformPath:   path  of the selected transform function
%    .InputFields: sub structure describing the input fields withfields
%              .FieldName: name(s) of the field
%              .VelType: velocity type
%              .FieldName_1: name of the second field in case of two input series
%              .VelType_1: velocity type of the second field in case of two input series
%              .Coord_y: name of y coordinate variable
%              .Coord_x: name of x coordinate variable
%    .ProjObject: %sub structure describing a projection object (read from ancillary GUI set_object)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

function ParamOut=particle_tracking(Param)

%% set the input elements needed on the GUI series when the action is selected in the menu ActionName
if isstruct(Param) && isequal(Param.Action.RUN,0)
    % general settings of the GUI:
    ParamOut.AllowInputSort='off';% allow alphabetic sorting of the list of input file SubDir (options 'off'/'on', 'off' by default)
    ParamOut.WholeIndexRange='off';% prescribes the file index ranges from min to max (options 'off'/'on', 'off' by default)
    ParamOut.NbSlice='off'; %nbre of slices ('off' by default)
    ParamOut.VelType='off';% menu for selecting the velocity type (options 'off'/'one'/'two',  'off' by default)
    ParamOut.FieldName='off';% menu for selecting the field (s) in the input file(options 'off'/'one'/'two', 'off' by default)
    ParamOut.FieldTransform = 'off';%can use a transform function
    ParamOut.ProjObject='off';%can use projection object(option 'off'/'on',
    ParamOut.Mask='off';%can use mask option   (option 'off'/'on', 'off' by default)
    ParamOut.OutputDirExt='.track';%set the output dir extension
    ParamOut.OutputFileMode='NbSlice';% '=NbInput': 1 output file per input file index, '=NbInput_i': 1 file per input file index i, '=NbSlice': 1 file per slice
    filecell=get_file_series(Param);%check existence of the first input file
    if ~exist(filecell{1,1},'file')
        msgbox_uvmat('WARNING','the first input file does not exist') 
    end
    % parameters specific to the function 'particle_tracking'
%     Par.Nblock=[];%size of image subblocks for background determination, =[]: no sublock
%     Par.ThreshLum=-2000;% luminosity threshold for particle detection, < 0 for black particles, >0 for white particles
%   ParamOut.ActionInput=Par;
    return
end

%%%%%%%%%%%%  STANDARD RUN PART  %%%%%%%%%%%%
ParamOut=[];
%% read input parameters from an xml file if input is a file name (batch mode)
checkrun=1;
if ischar(Param)
    Param=xml2struct(Param);% read Param as input file (batch case)
    checkrun=0;
end

%% define the directory for result file
OutputDir=[Param.OutputSubDir Param.OutputDirExt];

%% root input file(s) name, type and index series
RootPath=Param.InputTable{1,1};
RootFile=Param.InputTable{1,3};
SubDir=Param.InputTable{1,2};
NomType=Param.InputTable{1,4};
FileExt=Param.InputTable{1,5};
[filecell,i1_series,i2_series,j1_series,j2_series]=get_file_series(Param);
%%%%%%%%%%%%
% The cell array filecell is the list of input file names, while
% filecell{iview,fileindex}:
%        iview: line in the table corresponding to a given file series
%        fileindex: file index within  the file series, 
% i1_series(iview,ref_j,ref_i)... are the corresponding arrays of indices i1,i2,j1,j2, depending on the input line iview and the two reference indices ref_i,ref_j 
% i1_series(iview,fileindex) expresses the same indices as a 1D array in file indices
%%%%%%%%%%%%
nbview=numel(i1_series);%number of input file series (lines in InputTable)
nbfield_j=size(i1_series{1},1); %nb of fields for the j index (bursts or volume slices)
nbfield_i=size(i1_series{1},2); %nb of fields for the i index
nbfield=nbfield_j*nbfield_i; %total number of fields

%% frame index for movie or multimage file input  
if ~isempty(j1_series{1})
    frame_index=j1_series{1};
else
    frame_index=i1_series{1};
end

%% check the input file type  
[FileType,FileInfo,VideoObject]=get_file_type(filecell{1,1});
ImageTypeOptions={'image','multimage','mmreader','video'};
if isempty(find(strcmp(FileType,ImageTypeOptions)))
    disp('input file not images')
    return
end

%% calibration data and timing: read the ImaDoc files
[XmlData,NbSlice_calib,time,errormsg]=read_multimadoc(RootPath,SubDir,RootFile,FileExt,i1_series,i2_series,j1_series,j2_series);

%%%%%%%%%%%%   SPECIFIC PART (to edit) %%%%%%%%%%%%
%filter for particle center of mass(luminosity)
%Nblock=Param.ActionInput.Nblock;
%ThreshLum=Param.ActionInput.ThreshLum;% luminosity threshold for particle detection, < 0 for black particles, >0 for white particles
AbsThreshold=30; %threshold below which a pixel is considered belonging to a float
SizePart=4;
%
hh=ones(5,5);
hh(1,1)=0;
hh(1,5)=0;% sum luminosity on the 5x5 domain without corners
hh(5,1)=0;
hh(5,5)=0;
hdx=[-2:1:2];
hdy=[-2:1:2];
[hdX,hdY]=meshgrid(hdx,hdy);
hdX(1,1)=0;
hdX(1,5)=0;% sum luminosity on the 5x5 domain -corners
hdX(5,1)=0;
hdX(5,5)=0;
hdY(1,1)=0;
hdY(1,5)=0;% sum luminosity on the 5x5 domain -corners
hdY(5,1)=0;
hdY(5,5)=0;

%% detection of particles on the first image

%%%%%% MAIN LOOP ON FRAMES %%%%%%
for ifile=1:nbfield
    if checkrun
        if strcmp(get(Param.RUNHandle,'BusyAction'),'queue')
            update_waitbar(Param.WaitbarHandle,ifile/nbfield)
        else
            break% leave the loop if the STOP button is activated on the GUI series
        end
    end
    j1=[];
    if ~isempty(j1_series)&&~isequal(j1_series,{[]})
        j1=j1_series{1}(ifile);
    end
    filename=fullfile_uvmat(RootPath,SubDir,RootFile,FileExt,NomType,i1_series{1}(ifile),[],j1);
    A=read_image(filename,FileType,VideoObject,frame_index(ifile));% read the current frame
    if ndims(A)==3;%color images
        A=sum(double(A),3);% take the sum of color components
    end
        %%  mask to reduce the  working area (optional)
    Mask=ones(size(A));
    Mask(1:SizePart,:)=0;
    Mask(end-SizePart:end,:)=0;
    Mask(:,1:SizePart)=0;
    Mask(:,end-SizePart:end)=0;  
    if ifile ==1
        [Js,Is]=find(A<AbsThreshold & Mask==1);%indices (I,J) of dark pixels
    else
        Is=round(Xtime(ifile-1,:));
        Js=round(Ytime(ifile-1,:));
    end
    X=zeros(size(Is));
    Y=zeros(size(Js));
    F=zeros(size(Js));
    for ipart=1:numel(Is)
        if Mask(Js(ipart),Is(ipart))==1
            subimage=A(Js(ipart)-SizePart:Js(ipart)+SizePart,Is(ipart)-SizePart:Is(ipart)+SizePart);
            subimage=max(max(subimage))-subimage;%take negative of the image
            [vector,F(ipart)] = SUBPIX2DGAUSS (subimage,SizePart+1,SizePart+1);
            %             X0(ipart)=Is(ipart);%TEST
            %             Y0(ipart)=Js(ipart);%TEST
            X(ipart)=Is(ipart)+vector(1);%corrected position
            Y(ipart)=Js(ipart)+vector(2);
            Xround=round(X(ipart));
            Yround=round(Y(ipart));
            if ifile==1
                Mask(Yround-SizePart:Yround+SizePart,Xround-SizePart:Xround+SizePart)=0;% mask the subregion already treated to
                % avoid double counting
            end
        end
    end
    %             X0=X0(X>0);
    %     Y0=Y0(Y>0);
    if ifile ==1
        Ftime(1,:)=F(X>0);
        Xtime(1,:)=X(X>0);
        Ytime(1,:)=Y(Y>0);
    else
        Ftime(ifile,:)=F;
        Xtime(ifile,:)=X;
        Ytime(ifile,:)=Y;
    end
end
figure(1)
plot(Xtime)
figure(2)
plot(Ytime)

%------------------------------------------------------------------------
% --- Find the maximum of the correlation function after interpolation
function [vector,F] = SUBPIX2DGAUSS (result_conv,x,y)
%------------------------------------------------------------------------
vector=[0 0]; %default
F=-2;
peaky=y;
peakx=x;
[npy,npx]=size(result_conv);
if (x <= npx-1) && (y <= npy-1) && (x >= 1) && (y >= 1)
    F=0;
    for i=-1:1
        for j=-1:1
            %following 15 lines based on
            %H. Nobach ￜ M. Honkanen (2005)
            %Two-dimensional Gaussian regression for sub-pixel displacement
            %estimation in particle image velocimetry or particle position
            %estimation in particle tracking velocimetry
            %Experiments in Fluids (2005) 38: 511ￜ515
            c10(j+2,i+2)=i*log(result_conv(y+j, x+i));
            c01(j+2,i+2)=j*log(result_conv(y+j, x+i));
            c11(j+2,i+2)=i*j*log(result_conv(y+j, x+i));
            c20(j+2,i+2)=(3*i^2-2)*log(result_conv(y+j, x+i));
            c02(j+2,i+2)=(3*j^2-2)*log(result_conv(y+j, x+i));
        end
    end
    c10=(1/6)*sum(sum(c10));
    c01=(1/6)*sum(sum(c01));
    c11=(1/4)*sum(sum(c11));
    c20=(1/6)*sum(sum(c20));
    c02=(1/6)*sum(sum(c02)); 
    deltax=(c11*c01-2*c10*c02)/(4*c20*c02-c11^2);
    deltay=(c11*c10-2*c01*c20)/(4*c20*c02-c11^2);
    if abs(deltax)<1
        peakx=x+deltax;
    end
    if abs(deltay)<1
        peaky=y+deltay;
    end
end
vector=[peakx-floor(npx/2)-1 peaky-floor(npy/2)-1];