Index: trunk/src/transform_field/ima_filter.m
===================================================================
--- trunk/src/transform_field/ima_filter.m	(revision 1119)
+++ trunk/src/transform_field/ima_filter.m	(revision 1122)
@@ -1,12 +1,15 @@
-% 'ima_filter': example of image transform with input parameters: low-pass filter of an image
+% 'ima_filter': low-pass filter of an image or other 2D fields defined on a regular grid
+% the size of the filtering window in x and y is interactivement defined
 
 %------------------------------------------------------------------------
 %%%%  Use the general syntax for transform fields with a single input and parameters %%%%
-% OUTPUT: 
-% DataOut:   output field structure 
+% OUTPUT:
+% DataOut:   output field structure
 %
 %INPUT:
 % DataIn:  input field structure
+%
 % Param: matlab structure whose field Param.TransformInput contains the filter parameters
+% DataIn_1: variables possibly introduced as a second input field
 %-----------------------------------
 
@@ -78,20 +81,20 @@
 if exist('DataIn_1','var')
     [CellInfo,NbDim,errormsg]=find_field_cells(DataIn_1);
-for icell=1:numel(CellInfo)
-    if isfield(CellInfo{icell},'CoordType')&& strcmp(CellInfo{icell}.CoordType,'grid')
-        for ivar=1:numel(CellInfo{icell}.VarIndex)
-            VarName=DataIn_1.ListVarName{CellInfo{icell}.VarIndex(ivar)};
-            Atype=class(DataIn_1.(VarName));% detect integer 8 or 16 bits
-            if numel(size(DataIn_1.(VarName)))==3
-                DataOut.(VarName)=filter2(Mfiltre,sum(DataIn_1.(VarName),3));%filter the input image, after summation on the color component (for color images)
-                DataOut.(VarName)=uint16(DataOut.(VarName)); %transform to 16 bit images
-            else
-                DataOut.(VarName)=filter2(Mfiltre,DataIn_1.(VarName));
-                DataOut.(VarName)=feval(Atype,DataOut.(VarName));%transform to the initial image format
+    for icell=1:numel(CellInfo)
+        if isfield(CellInfo{icell},'CoordType')&& strcmp(CellInfo{icell}.CoordType,'grid')
+            for ivar=1:numel(CellInfo{icell}.VarIndex)
+                VarName=DataIn_1.ListVarName{CellInfo{icell}.VarIndex(ivar)};
+                Atype=class(DataIn_1.(VarName));% detect integer 8 or 16 bits
+                if numel(size(DataIn_1.(VarName)))==3
+                    DataOut.(VarName)=filter2(Mfiltre,sum(DataIn_1.(VarName),3));%filter the input image, after summation on the color component (for color images)
+                    DataOut.(VarName)=uint16(DataOut.(VarName)); %transform to 16 bit images
+                else
+                    DataOut.(VarName)=filter2(Mfiltre,DataIn_1.(VarName));
+                    DataOut.(VarName)=feval(Atype,DataOut.(VarName));%transform to the initial image format
+                end
             end
         end
     end
 end
-end
 
  
Index: trunk/src/transform_field/ima_filter_high.m
===================================================================
--- trunk/src/transform_field/ima_filter_high.m	(revision 1122)
+++ trunk/src/transform_field/ima_filter_high.m	(revision 1122)
@@ -0,0 +1,99 @@
+% 'ima_filter_high': high-pass filter of an image or other 2D fields defined on a regular grid
+% the size of the filtering window in x and y is interactivement defined 
+
+%------------------------------------------------------------------------
+%%%%  Use the general syntax for transform fields with a single input and parameters %%%%
+% OUTPUT: 
+% DataOut:   output field structure 
+%
+%INPUT:
+% DataIn:  input field structure
+% Param: matlab structure whose field Param.TransformInput contains the filter parameters
+% DataIn_1: variables possibly introduced as a second input field
+%-----------------------------------
+
+%=======================================================================
+% Copyright 2008-2022, 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 DataOut=ima_filter_high(DataIn,Param,DataIn_1)
+
+%% request input parameters
+if isfield(DataIn,'Action') && isfield(DataIn.Action,'RUN') && isequal(DataIn.Action.RUN,0)
+    prompt = {'npx';'npy'};
+    dlg_title = 'get the filter size in x and y';
+    num_lines= 2;
+    def     = { '20';'20'};
+    if isfield(Param,'TransformInput')&&isfield(Param.TransformInput,'FilterBoxSize_x')&&...
+            isfield(Param.TransformInput,'FilterBoxSize_y')
+        def={num2str(Param.TransformInput.FilterBoxSize_x);num2str(Param.TransformInput.FilterBoxSize_y)};
+    end
+    answer = inputdlg(prompt,dlg_title,num_lines,def);
+    DataOut.TransformInput.FilterBoxSize_x=str2num(answer{1}); %size of the filtering window
+    DataOut.TransformInput.FilterBoxSize_y=str2num(answer{2}); %size of the filtering window
+    return
+end
+
+DataOut=DataIn; %default
+
+%definition of the cos shape matrix filter
+ix=1/2-Param.TransformInput.FilterBoxSize_x/2:-1/2+Param.TransformInput.FilterBoxSize_x/2;%
+iy=1/2-Param.TransformInput.FilterBoxSize_y/2:-1/2+Param.TransformInput.FilterBoxSize_y/2;%
+%del=np/3;
+%fct=exp(-(ix/del).^2);
+fct2_x=cos(ix/((Param.TransformInput.FilterBoxSize_x-1)/2)*pi/2);
+fct2_y=cos(iy/((Param.TransformInput.FilterBoxSize_y-1)/2)*pi/2);
+%Mfiltre=(ones(5,5)/5^2);
+Mfiltre=fct2_y'*fct2_x;
+Mfiltre=Mfiltre/(sum(sum(Mfiltre)));%normalize filter
+
+[CellInfo,NbDim,errormsg]=find_field_cells(DataIn)
+for icell=1:numel(CellInfo)
+    if isfield(CellInfo{icell},'CoordType')&& strcmp(CellInfo{icell}.CoordType,'grid')
+        for ivar=1:numel(CellInfo{icell}.VarIndex)
+            VarName=DataIn.ListVarName{CellInfo{icell}.VarIndex(ivar)};
+            Atype=class(DataIn.(VarName));% detect integer 8 or 16 bits
+            if numel(size(DataIn.(VarName)))==3
+                DataOut.(VarName)=filter2(Mfiltre,sum(DataIn.(VarName),3));%filter the input image, after summation on the color component (for color images)
+                DataOut.(VarName)=uint16(DataOut.(VarName)); %transform to 16 bit images
+            else
+                DataOut.(VarName)=DataIn.(VarName)-filter2(Mfiltre,DataIn.(VarName));
+                DataOut.(VarName)=feval(Atype,DataOut.(VarName));%transform to the initial image format
+            end
+        end
+    end
+end
+if exist('DataIn_1','var')
+    [CellInfo,NbDim,errormsg]=find_field_cells(DataIn_1);
+for icell=1:numel(CellInfo)
+    if isfield(CellInfo{icell},'CoordType')&& strcmp(CellInfo{icell}.CoordType,'grid')
+        for ivar=1:numel(CellInfo{icell}.VarIndex)
+            VarName=DataIn_1.ListVarName{CellInfo{icell}.VarIndex(ivar)};
+            Atype=class(DataIn_1.(VarName));% detect integer 8 or 16 bits
+            if numel(size(DataIn_1.(VarName)))==3
+                DataOut.(VarName)=filter2(Mfiltre,sum(DataIn_1.(VarName),3));%filter the input image, after summation on the color component (for color images)
+                DataOut.(VarName)=uint16(DataOut.(VarName)); %transform to 16 bit images
+            else
+                DataOut.(VarName)=filter2(Mfiltre,DataIn_1.(VarName));
+                DataOut.(VarName)=feval(Atype,DataOut.(VarName));%transform to the initial image format
+            end
+        end
+    end
+end
+end
+
+ 
