Index: trunk/src/series/particle_detect.m
===================================================================
--- trunk/src/series/particle_detect.m	(revision 1088)
+++ trunk/src/series/particle_detect.m	(revision 1088)
@@ -0,0 +1,629 @@
+%'merge_proj': concatene several fields from series, can project them on a regular grid in phys coordinates
+%------------------------------------------------------------------------
+% function ParamOut=merge_proj(Param)
+%------------------------------------------------------------------------
+%%%%%%%%%%% 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)
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+%=======================================================================
+% Copyright 2008-2020, LEGI UMR 5519 / CNRS UGA G-INP, Grenoble, France
+%   http://www.legi.grenoble-inp.fr
+%   Joel.Sommeria - Joel.Sommeria (A) legi.cnrs.fr
+%
+%     This file is part of the toolbox UVMAT.
+%
+%     UVMAT is free software; you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published
+%     by the Free Software Foundation; either version 2 of the license,
+%     or (at your option) any later version.
+%
+%     UVMAT is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License (see LICENSE.txt) for more details.
+%=======================================================================
+
+function ParamOut=particle_detect(Param)
+
+%% set the input elements needed on the GUI series when the function is selected in the menu ActionName or InputTable refreshed
+if isstruct(Param) && isequal(Param.Action.RUN,0)
+    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='one';% menu for selecting the velocity type (options 'off'/'one'/'two',  'off' by default)
+    ParamOut.FieldName='one';% 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.TransformPath=fullfile(fileparts(which('uvmat')),'transform_field');% path to transform functions (needed for compilation only)
+    ParamOut.ProjObject='off';%can use projection object(option 'off'/'on',
+    ParamOut.Mask='on';%can use mask option   (option 'off'/'on', 'off' by default)
+    ParamOut.OutputDirExt='.detect';%set the output dir extension
+    ParamOut.OutputFileMode='NbInput';% '=NbInput': 1 output file per input file index, '=NbInput_i': 1 file per input file index i, '=NbSlice': 1 file per slice
+      %check the input files
+    ParamOut.CheckOverwriteVisible='on'; % manage the overwrite of existing files (default=1)
+    first_j=[];
+    if isfield(Param.IndexRange,'first_j'); first_j=Param.IndexRange.first_j; end
+    PairString='';
+    if isfield(Param.IndexRange,'PairString'); PairString=Param.IndexRange.PairString; end
+    [i1,i2,j1,j2] = get_file_index(Param.IndexRange.first_i,first_j,PairString);
+    FirstFileName=fullfile_uvmat(Param.InputTable{1,1},Param.InputTable{1,2},Param.InputTable{1,3},...
+        Param.InputTable{1,5},Param.InputTable{1,4},i1,i2,j1,j2);
+    if ~exist(FirstFileName,'file')
+        msgbox_uvmat('WARNING',['the first input file ' FirstFileName ' does not exist'])
+    end
+    
+    prompt = {'threshold(th)';...
+        'particle size (sz)' };
+    dlg_title = 'get processing parameters';
+    num_lines= 2;
+    def     = {'4000';'3'};
+    answer = inputdlg(prompt,dlg_title,num_lines,def);
+    if isempty(answer)
+        return
+    end
+    %check input consistency
+    ParamOut.ActionInput.th=str2num(answer{1});
+    ParamOut.ActionInput.sz=str2num(answer{2});
+    return
+end
+
+%%%%%%%%%%%% STANDARD PART (DO NOT EDIT) %%%%%%%%%%%%
+ParamOut=[]; %default output
+RUNHandle=[];
+WaitbarHandle=[];
+%% 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;
+else
+    hseries=findobj(allchild(0),'Tag','series');
+    RUNHandle=findobj(hseries,'Tag','RUN');%handle of RUN button in GUI series
+    WaitbarHandle=findobj(hseries,'Tag','Waitbar');%handle of waitbar in GUI series
+end
+
+%% define the directory for result file (with path=RootPath{1})
+OutputDir=[Param.OutputSubDir Param.OutputDirExt];% subdirectory for output files
+
+if ~isfield(Param,'InputFields')
+    Param.InputFields.FieldName='';
+end
+
+%% 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};
+
+hdisp=disp_uvmat('WAITING...','checking the file series',checkrun);
+% gives the series of input file names and indices set by the input parameters:
+%[filecell,i1_series,i2_series,j1_series,j2_series]=get_file_series(Param);
+% filecell{iview,fileindex}:
+%        iview: line in the table corresponding to a given file series
+%        fileindex: file index with i and j reshaped as a 1D array
+% 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
+if ~isempty(hdisp),delete(hdisp),end;%end the waiting display
+
+
+%% determine the file type on each line from the first input file
+
+
+%%%%%%%%%%%% END STANDARD PART  %%%%%%%%%%%%
+% EDIT FROM HERE
+
+RootFileOut=RootFile;
+
+
+%% MAIN LOOP ON FIELDS
+%%%%%%%%%%%%% STANDARD PART (DO NOT EDIT) %%%%%%%%%%%%
+% for i_slice=1:NbSlice
+%     index_slice=i_slice:NbSlice:NbField;% select file indices of the slice
+%     NbFiles=0;
+%     nbmissing=0;
+
+%%%%%%%%%%%%%%%% loop on field indices %%%%%%%%%%%%%%%%
+tstart=tic; %used to record the computing time
+CheckOverwrite=1;%default
+if isfield(Param,'CheckOverwrite')
+    CheckOverwrite=Param.CheckOverwrite;
+end
+%%%%%%   INPUT %%%%%%
+th=Param.ActionInput.th
+sz=Param.ActionInput.sz
+% th=4000;%threshold on image intensity
+% sz=3; %size of particles
+
+NbImage=Param.IndexRange.last_i-Param.IndexRange.first_i+1;
+incr_i=Param.IndexRange.incr_i;
+NbBlock=floor(NbImage/incr_i);
+
+%% MAIN LOOP
+for index1=1:NbBlock
+    OutputFile=fullfile_uvmat(RootPath,OutputDir,RootFileOut,'.mat','_1-2',(index1-1)*incr_i+1,index1*incr_i)
+    if ~CheckOverwrite && exist(OutputFile,'file')
+        disp(['existing output file ' OutputFile ' already exists, skip to next field'])
+    end
+    for index=(index1-1)*incr_i+1:index1*incr_i
+        index
+        
+        %% reading input file(s)
+        ImgName=fullfile_uvmat(RootPath,SubDir,RootFile,FileExt,NomType,index)
+        Im=imread(ImgName);
+        [Ny,Nx]=size(Im);
+        %
+        %
+        %         frame = kframe+idfile*framesperfiles;
+        %     disp(frame);
+        %     ImgName = sprintf(join(['%s/%s_cam%d_' format],''),folderin, ManipName, CamNum, frame);
+        %     fprintf("%s \n",ImgName);
+        %Im = (cast(imread(ImgName),'like',Background) - Background).*mask;
+        %% normalizeimage
+        Im = double(Im);
+        
+        %     Imfiltered=filter2(transfert_coef,Im);
+        %
+        %     Imfiltered(:,1:windowsize)=Imfiltered(:,windowsize)*ones(1,windowsize);
+        %     Imfiltered(:,end-windowsize+1:end)=Imfiltered(:,end-windowsize+1)*ones(1,windowsize);
+        %     Imfiltered(1:windowsize,:)=ones(windowsize,1)*Imfiltered(windowsize,:);
+        %     Imfiltered(end-windowsize+1:end,:)=ones(windowsize,1)*Imfiltered(end-windowsize,:);
+        %     Im=Im./(2*Imfiltered);
+        %%
+        
+        out=pkfnd(Im,th,sz); % Provides intensity maxima positionsth,sz,Test,BackgroundType,format
+        npar = size(out,1);
+        
+        %% We keep only spots with a gaussian shape
+        cnt = 0;
+        x = [];
+        y = [];
+        for j = 1:npar
+            Nwidth = 1;
+            if (out(j,2)-Nwidth >0)&&(out(j,1)-Nwidth>0)&&(out(j,2)+Nwidth<Ny)&&(out(j,1)+Nwidth<Nx)
+                cnt = cnt+1;
+                
+                Ip = double(Im(out(j,2)-Nwidth:out(j,2)+Nwidth,out(j,1)-Nwidth:out(j,1)+Nwidth));
+                
+                x(end+1) = out(j, 1) + 0.5*log(Ip(2,3)/Ip(2,1))/(log((Ip(2,2)*Ip(2,2))/(Ip(2,1)*Ip(2,3))));
+                y(end+1) = out(j, 2) + 0.5*log(Ip(3,2)/Ip(1,2))/(log((Ip(2,2)*Ip(2,2))/(Ip(1,2)*Ip(3,2))));
+            end
+        end
+        
+        CC(index).X=x;
+        CC(index).Y=y;
+    end
+    
+    %% Centers saving into a .mat file
+    if Param.IndexRange.last_i>1
+        savefile=OutputFile;
+        save(savefile,"CC",'-v7.3')
+        m = matfile(savefile,'Writable',true);
+        m.nframes = incr_i;
+    else
+        figure("NumberTitle","Off","Name",['RAW picture,' SubDir])
+        imshow(imread(ImgName),[0,5000])
+        colormap gray
+        %     figure("NumberTitle","Off","Name",sprintf("%s, cam %d",BackgroundType,CamNum))
+        %     imshow(BackgroundMin,[0,5000])
+        %     colormap gray
+        %     figure("NumberTitle","Off","Name",sprintf("RAW picture - Background, cam %d, frame %d",CamNum,kframe))
+        %     imshow(Im,[0,th])
+        %     colormap gray
+        colorbar
+        
+        %% TracÃ© de l'histogramme des intensitÃ©s pour dÃ©finir le seuil
+        fig = figure('NumberTitle','Off','Name','Intensity histogram');
+        histogram(Im,1000)
+        xlabel("Intensity")
+        ylabel("Number")
+        set(gca, 'XScale', 'log')
+        set(gca, 'YScale', 'log')
+        
+        Nx = size(Im,2);
+        Ny = size(Im,1);
+        
+        out=pkfnd(Im,th,sz); % Provides intensity maxima positions
+        npar = size(out,1);
+        
+        %% We keep only spots with a gaussian shape
+        cnt = 0;
+        x = [];
+        y = [];
+        for j = 1:npar
+            Nwidth = 1;
+            if (out(j,2)-Nwidth >0)&&(out(j,1)-Nwidth>0)&&(out(j,2)+Nwidth<Ny)&&(out(j,1)+Nwidth<Nx)
+                cnt = cnt+1;
+                
+                Ip = double(Im(out(j,2)-Nwidth:out(j,2)+Nwidth,out(j,1)-Nwidth:out(j,1)+Nwidth));
+                
+                x(end+1) = out(j, 1) + 0.5*log(Ip(2,3)/Ip(2,1))/(log((Ip(2,2)*Ip(2,2))/(Ip(2,1)*Ip(2,3))));
+                y(end+1) = out(j, 2) + 0.5*log(Ip(3,2)/Ip(1,2))/(log((Ip(2,2)*Ip(2,2))/(Ip(1,2)*Ip(3,2))));
+            end
+        end
+        CC(1).X=x;
+        CC(1).Y=y;
+        
+        fprintf("%d treated \n",1)
+        
+        %% Let's plot picture and detected points on a graph !!! Be careful the vertical axis is reversed compared to reality !!!
+        figure('NumberTitle','Off','Name',sprintf("frame %d, %d detected points",1,numel(x)))
+        imshow(Im,[0,th])
+        colormap gray
+        
+        hold on
+        plot(flip(x),flip(y),'r+')
+    end
+end
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+    function CC = CenterFinding2D(session,ManipName,CamNum,firstFrame,nframes,th,sz,Test,BackgroundType,format,withmask)
+%%% Detect particles position in picture and provides their positions in
+%%% px.
+%--------------------------------------------------------------------------------
+%%% Parameters :
+%%%     session                    : Path to the achitecture root (2 fields: session.input_path
+% and session.output_path)
+%%%     ManipName                  : Name of the folder experiment
+%%%     NumCam                     : number of the camera studied
+%%%     nframes                    : total number of pictures
+%%%     th                         : threshold
+%%%     sz                         : typical size of the particles
+%%%     Test                       : true-> test mode, false-> classic mode (optional)
+%%%     BackgroundType (optional)  : determine which background is substracted to pictures. By defaut is equal to BackgroundMean,
+%%%     format (optional)          : picture names. By defaut it is '%05d.tif'.
+%%%     The beginning of picture names has to be %ManipName_cam%CamNum_%format
+%--------------------------------------------------------------------------------
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+close all
+
+framesperfiles = 1000;
+
+%% Test if Test exist or not
+if ~exist('Test','var')
+    Test=false;
+end
+
+%% Test if BackgroundType exist or not
+if ~exist('BackgroundType','var')
+    BackgroundType="BackgroundMean";
+end
+
+% By defaut format='%05d.tif'
+if ~exist('format','var')
+    format='%05d.tif';
+end
+
+if ~exist('withmask','var')
+    withmask=false;
+end
+
+
+
+%% Definition of folders
+fprintf(ManipName);
+folderin = sprintf("%sDATA/%s/cam%d",session.input_path,ManipName,CamNum)
+folderout = sprintf("%sProcessed_DATA/%s",session.output_path,ManipName)
+BackgroundFile = sprintf("%s/Background_cam%d.mat",folderout,CamNum);
+
+%% Find centers
+if exist(folderout,'dir')==0
+    mkdir(char(folderout));
+end
+
+% if exist(strcat(folderout,'/Parallel/Matching'),'dir')==0
+%     mkdir(char(strcat(folderout,'/Parallel/Matching')));
+% end
+
+load(BackgroundFile,'BackgroundMin','BackgroundMax','BackgroundMean')
+%% Choice of background type
+if BackgroundType=="BackgroundMean"
+    Background=BackgroundMean;
+elseif BackgroundType=="BackgroundMax"
+    Background=BackgroundMax;
+elseif BackgroundType=="BackgroundMin"
+    Background=BackgroundMin;
+end
+Nx = size(Background,2);
+Ny = size(Background,1);
+
+if withmask
+    ImgName = sprintf(join(['%s/%s_cam%d_' format],''),folderin, ManipName, CamNum, 1);
+    Im = imread(ImgName);
+    imshow(Im,[0,10000])
+    BW = roipoly;
+    mask = cast(BW,'like',Background);
+else
+    mask = cast(ones(Ny,Nx),'like',Background);
+end
+
+%% param for normailze image
+windowsize=round(min(Ny,Nx)/20);
+transfert_coef = ones(windowsize)/windowsize^2;
+%%
+
+close all
+if ~Test
+    idfirstfile = fix(firstFrame/framesperfiles);
+    idlastfile = fix((nframes-1)/framesperfiles);
+    for idfile = idfirstfile:idlastfile
+        firstFrame = rem(firstFrame,framesperfiles);
+        lastframe = min(framesperfiles,nframes-idfile*framesperfiles);
+        for kframe=firstFrame:lastframe
+            frame = kframe+idfile*framesperfiles;
+            disp(frame);
+            ImgName = sprintf(join(['%s/%s_cam%d_' format],''),folderin, ManipName, CamNum, frame);
+            fprintf("%s \n",ImgName);
+            Im = (cast(imread(ImgName),'like',Background) - Background).*mask;
+            %% normalizeimage
+            Im = double(Im);
+
+            Imfiltered=filter2(transfert_coef,Im);
+
+            Imfiltered(:,1:windowsize)=Imfiltered(:,windowsize)*ones(1,windowsize);
+            Imfiltered(:,end-windowsize+1:end)=Imfiltered(:,end-windowsize+1)*ones(1,windowsize);
+            Imfiltered(1:windowsize,:)=ones(windowsize,1)*Imfiltered(windowsize,:);
+            Imfiltered(end-windowsize+1:end,:)=ones(windowsize,1)*Imfiltered(end-windowsize,:);
+            Im=Im./(2*Imfiltered);
+            %%
+            
+            
+            out=pkfnd(Im,th,sz); % Provides intensity maxima positions
+            npar = size(out,1);
+
+            %% We keep only spots with a gaussian shape
+            cnt = 0;
+            x = [];
+            y = [];
+            for j = 1:npar
+                Nwidth = 1;
+                if (out(j,2)-Nwidth >0)&&(out(j,1)-Nwidth>0)&&(out(j,2)+Nwidth<Ny)&&(out(j,1)+Nwidth<Nx)
+                    cnt = cnt+1;
+
+                    Ip = double(Im(out(j,2)-Nwidth:out(j,2)+Nwidth,out(j,1)-Nwidth:out(j,1)+Nwidth));
+
+                    x(end+1) = out(j, 1) + 0.5*log(Ip(2,3)/Ip(2,1))/(log((Ip(2,2)*Ip(2,2))/(Ip(2,1)*Ip(2,3))));
+                    y(end+1) = out(j, 2) + 0.5*log(Ip(3,2)/Ip(1,2))/(log((Ip(2,2)*Ip(2,2))/(Ip(1,2)*Ip(3,2))));
+                end
+            end
+
+            CC(kframe).X=x;
+            CC(kframe).Y=y;
+        end
+        %% Centers saving into a .mat file
+        firstFramefile = framesperfiles*idfile+1;
+        lastFramefile = framesperfiles*(idfile+1);
+        savefile = sprintf(['%s/Parallel/Matching/centers_cam%d_',format(1:end-4),'-',format(1:end-4),'.mat'],folderout,CamNum,firstFramefile,lastFramefile);
+        if exist(savefile,'file')
+            m = matfile(savefile,'Writable',true);
+            m.CC(1,firstFrame:lastframe) = CC(firstFrame:lastframe);
+            m.nframes = framesperfiles;
+        else
+            save(savefile,"CC","nframes",'-v7.3')
+            m = matfile(savefile,'Writable',true);
+            m.nframes = framesperfiles;
+        end
+        firstFrame = 1;
+    end
+else
+    kframe=1
+    ImgName = sprintf(join(['%s/%s_cam%d_' format],''),folderin, ManipName, CamNum, kframe);
+    fprintf("%s \n",ImgName);
+    Im = (cast(imread(ImgName),'like',Background) - Background).*mask;
+    %% normalizeimage
+    Im = double(Im);
+
+    Imfiltered=filter2(transfert_coef,Im);
+
+    Imfiltered(:,1:windowsize)=Imfiltered(:,windowsize)*ones(1,windowsize);
+    Imfiltered(:,end-windowsize+1:end)=Imfiltered(:,end-windowsize+1)*ones(1,windowsize);
+    Imfiltered(1:windowsize,:)=ones(windowsize,1)*Imfiltered(windowsize,:);
+    Imfiltered(end-windowsize+1:end,:)=ones(windowsize,1)*Imfiltered(end-windowsize,:);
+    Im=Im./(2*Imfiltered);
+    %%
+    figure("NumberTitle","Off","Name",sprintf("RAW picture, cam %d, frame %d",CamNum,kframe))
+    imshow(imread(ImgName),[0,5000])
+    colormap gray
+    figure("NumberTitle","Off","Name",sprintf("%s, cam %d",BackgroundType,CamNum))
+    imshow(BackgroundMin,[0,5000])
+    colormap gray
+    figure("NumberTitle","Off","Name",sprintf("RAW picture - Background, cam %d, frame %d",CamNum,kframe))
+    imshow(Im,[0,th])
+    colormap gray
+    colorbar
+    
+%     if exist('Erosion','var')
+%         se = strel('disk',1);
+%         Imerode = imerode(Im,se);
+%         Imdilate = imdilate(Imerode,se);
+%         figure()
+%         imagesc(Imdilate)
+%         axis image
+%         colormap gray
+% 
+%         Image = Im;
+%         Im = Imdilate;
+%     end
+
+    %% TracÃ© de l'histogramme des intensitÃ©s pour dÃ©finir le seuil
+    fig = figure('NumberTitle','Off','Name','Intensity histogram');
+    histogram(Im,1000)
+    xlabel("Intensity")
+    ylabel("Number")
+    set(gca, 'XScale', 'log')
+    set(gca, 'YScale', 'log')
+    
+    Nx = size(Im,2);
+    Ny = size(Im,1);
+
+    out=pkfnd(Im,th,sz); % Provides intensity maxima positions
+    npar = size(out,1);
+        
+    %% We keep only spots with a gaussian shape
+    cnt = 0;
+    x = [];
+    y = [];
+    for j = 1:npar
+        Nwidth = 1;
+        if (out(j,2)-Nwidth >0)&&(out(j,1)-Nwidth>0)&&(out(j,2)+Nwidth<Ny)&&(out(j,1)+Nwidth<Nx)
+            cnt = cnt+1;
+
+            Ip = double(Im(out(j,2)-Nwidth:out(j,2)+Nwidth,out(j,1)-Nwidth:out(j,1)+Nwidth));
+
+            x(end+1) = out(j, 1) + 0.5*log(Ip(2,3)/Ip(2,1))/(log((Ip(2,2)*Ip(2,2))/(Ip(2,1)*Ip(2,3))));
+            y(end+1) = out(j, 2) + 0.5*log(Ip(3,2)/Ip(1,2))/(log((Ip(2,2)*Ip(2,2))/(Ip(1,2)*Ip(3,2))));
+        end
+    end
+    CC(kframe).X=x;
+    CC(kframe).Y=y;
+
+    fprintf("%d treated \n",kframe)
+
+    %% Let's plot picture and detected points on a graph !!! Be careful the vertical axis is reversed compared to reality !!!
+    figure('NumberTitle','Off','Name',sprintf("frame %d, %d detected points",kframe,numel(x)))
+    imshow(Im,[0,th])
+    colormap gray
+    
+    hold on
+    plot(flip(x),flip(y),'r+')
+end
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+function out=pkfnd(im,th,sz)
+% finds local maxima in an image to pixel level accuracy.  
+%  this provides a rough guess of particle
+%  centers to be used by cntrd.m.  Inspired by the lmx subroutine of Grier
+%  and Crocker's feature.pro
+%--------------------------------------------------------------------------------
+% INPUTS:
+%   im  : image to process, particle should be bright spots on dark background with little noise
+%       ofen an bandpass filtered brightfield image (fbps.m, fflt.m or bpass.m) or a nice
+%       fluorescent image
+%   th  : the minimum brightness of a pixel that might be local maxima.
+%       (NOTE: Make it big and the code runs faster
+%       but you might miss some particles.  Make it small and you'll get
+%       everything and it'll be slow.)
+%   sz  :  if your data's noisy, (e.g. a single particle has multiple local
+%       maxima), then set this optional keyword to a value slightly larger than the diameter of your blob.  if
+%       multiple peaks are found withing a radius of sz/2 then the code will keep
+%       only the brightest.  Also gets rid of all peaks within sz of boundary
+% OUTPUT:  a N x 2 array containing, [row,column] coordinates of local maxima
+%          out(:,1) are the x-coordinates of the maxima
+%          out(:,2) are the y-coordinates of the maxima
+%--------------------------------------------------------------------------------
+%CREATED: Eric R. Dufresne, Yale University, Feb 4 2005
+%MODIFIED: ERD, 5/2005, got rid of ind2rc.m to reduce overhead on tip by
+%  Dan Blair;  added sz keyword
+% ERD, 6/2005: modified to work with one and zero peaks, removed automatic
+%  normalization of image
+% ERD, 6/2005: due to popular demand, altered output to give x and y
+%  instead of row and column
+% ERD, 8/24/2005: pkfnd now exits politely if there's nothing above
+%  threshold instead of crashing rudely
+% ERD, 6/14/2006: now exits politely if no maxima found
+% ERD, 10/5/2006:  fixed bug that threw away particles with maxima
+%  consisting of more than two adjacent points
+
+
+
+%find all the pixels above threshold
+%im=im./max(max(im));
+[nr,nc] = size(im);
+[i,j,ind]=find(im > th);
+n=length(ind);
+
+if n==0
+    out=[];[i,j,ind]=find(im > th);
+    fprintf('nothing above threshold');
+    return;
+end
+mx=[];
+%convert index from find to row and column
+rc=[i,j]; % j corresponds to x axis and i to y axis
+% rc=[j,i]; % j corresponds to x axis and i to y axis
+for ii=1:n
+    r=rc(ii,1);
+    c=rc(ii,2);
+    %check each pixel above threshold to see if it's brighter than it's neighbors
+    %  THERE'S GOT TO BE A FASTER WAY OF DOING THIS.  I'M CHECKING SOME MULTIPLE TIMES,
+    %  BUT THIS DOESN'T SEEM THAT SLOW COMPARED TO THE OTHER ROUTINES, ANYWAY.
+    if r>1 && r<nr && c>1 && c<nc
+        if im(r,c)>=im(r-1,c-1) && im(r,c)>=im(r,c-1) && im(r,c)>=im(r+1,c-1) && ...
+         im(r,c)>=im(r-1,c)  && im(r,c)>=im(r+1,c) &&   ...
+         im(r,c)>=im(r-1,c+1) && im(r,c)>=im(r,c+1) && im(r,c)>=im(r+1,c+1)
+         mx=[mx,[r,c]'];  %#ok<AGROW>
+         %tst(ind(i))=im(ind(i));
+        end
+    end
+end
+%out=tst;
+mx=mx';
+
+[npks,crap]=size(mx);
+
+%if size is specified, then get ride of pks within size of boundary
+if nargin==3 && npks>0
+   %throw out all pks within sz of boundary;
+    ind=find(mx(:,1)>sz & mx(:,1)<(nr-sz) & mx(:,2)>sz & mx(:,2)<(nc-sz));
+    mx=mx(ind,:);
+end
+
+%prevent from finding peaks within size of each other
+[npks,crap]=size(mx);
+if npks > 1
+    %CREATE AN IMAGE WITH ONLY PEAKS
+    nmx=npks;
+    tmp=0.*im;
+    for i=1:nmx
+        tmp(mx(i,1),mx(i,2))=im(mx(i,1),mx(i,2));
+    end
+    %LOOK IN NEIGHBORHOOD AROUND EACH PEAK, PICK THE BRIGHTEST
+    for i=1:nmx
+        roi=tmp( (mx(i,1)-floor(sz/2)):(mx(i,1)+(floor(sz/2)+1)),(mx(i,2)-floor(sz/2)):(mx(i,2)+(floor(sz/2)+1))) ;
+        [mv,indi]=max(roi);
+        [mv,indj]=max(mv);
+        tmp( (mx(i,1)-floor(sz/2)):(mx(i,1)+(floor(sz/2)+1)),(mx(i,2)-floor(sz/2)):(mx(i,2)+(floor(sz/2)+1)))=0;
+        tmp(mx(i,1)-floor(sz/2)+indi(indj)-1,mx(i,2)-floor(sz/2)+indj-1)=mv;
+    end
+    ind=find(tmp>0);
+    mx=[mod(ind,nr),floor(ind/nr)+1];
+end
+
+if size(mx)==[0,0]
+    out=[];
+else
+    out(:,2)=mx(:,1);
+    out(:,1)=mx(:,2);
+end
