Changeset 356 for trunk/src


Ignore:
Timestamp:
Jan 3, 2012, 12:58:52 AM (13 years ago)
Author:
sommeria
Message:

civ updated with new functions for opening files, consistently with uvmat
Bugs to be expected (use previous version then)

Location:
trunk/src
Files:
14 edited

Legend:

Unmodified
Added
Removed

  • trunk/src/civ.m

    r355 r356  
    46464646    end
    46474647end
     4648%'nomtype2pair': creates nomencalture for index pairs knowing the image nomenclature
     4649%---------------------------------------------------------------------
     4650% [nom_type_pair]=nomtype2pair(nom_type,Dti,Dtj);
     4651%---------------------------------------------------------------------           
     4652
     4653% OUTPUT:
     4654%nom_type_nc
     4655
     4656%---------------------------------------------------------------------
     4657% INPUT:
     4658% 'nom_type': string defining the kind of nomenclature used:
     4659     %nom_type='': constant name [filebase ext] (default output if 'nom_type' is undefined)
     4660     %nom_type='*': the same  file [filebase ext] contains successive fields (ex avi movies)
     4661     %nom_type='_i': series of files with a single index i preceded by '_'(e.g. 'aa_45.png').
     4662     %nom_type='#' series of indexed images wich is not series_i [filebase index ext], e.g. 'aa045.jpg' or 'aa45.tif'
     4663     %nom_type='_i_j' matrix of files with two indices i and j separated by '_'(e.g. 'aa_45_2.png')
     4664     %nom_type='_i1-i2' from pairs from a single index (e.g. 'aa_45-47.nc')
     4665     %nom_type='_i_j1-j2'pairs of j indices (e.g. 'aa_45_2-3.nc')
     4666     %nom_type='_i1-i2_j' pairs of i indices (e.g. 'aa_45-46_2.nc')
     4667     %nom_type='#a','#A', with a numerical index and an index letter(e.g.'aa045b.png'), OBSOLETE (replaced by 'series_i_j')
     4668     %nom_type='%03d' or '%04d', series of indexed images with numbers completed with zeros to 3 or 4 digits, e.g.'aa045.tif'
     4669     %nom_type='_%03d', '_%04d', or '_%05d', series of indexed images with _ and numbers completed with zeros to 3, 4 or 5 digits, e.g.'aa_045.tif'
     4670     %nom_type='raw_SMD', same as '#a' but with no extension ext='', OBSOLETE
     4671     %nom_type='#_ab' from pairs of '#a' images (e.g. 'aa045bc.nc'), ext='.nc', OBSOLETE (replaced by 'netc_2D')
     4672     %nom_type='%3dab' from pairs of '%3da' images (e.g. 'aa045bc.nc'), ext='.nc', OBSOLETE (replaced by 'netc_2D')
     4673% Dti: ~=0 if i index pairs are used
     4674% Dtj: ~=0 if i index pairs are used
     4675
     4676function [nom_type_pair]=nomtype2pair(nom_type,Dti,Dtj)
     4677
     4678%determine nom_type_nc:
     4679nom_type_pair=[];%default
     4680if ischar(nom_type)
     4681    switch nom_type
     4682        case {'_i_j'}
     4683            if Dtj>0 || Dtj<0
     4684                nom_type_pair='_i_j1-j2';
     4685                if Dti>0 || Dti<0
     4686                    nom_type_pair='_i1-i2_j1-j2';
     4687                end
     4688                elseif Dti>0 || Dti<0
     4689                nom_type_pair='_i1-i21_j';   
     4690            else
     4691                 nom_type_pair='_i_j';
     4692            end
     4693        case {'_i1-i2_j'}
     4694            if Dtj>0 || Dtj<0
     4695               nom_type_pair='_i1-i2_j1-j2';
     4696            else
     4697                nom_type_pair='_i1-i2_j';
     4698            end
     4699        case {'i_j1-j2'}
     4700            if Dti>0 || Dti<0
     4701               nom_type_pair='_i1-i2_j1-j2';
     4702            else
     4703                nom_type_pair='_i1-i2_j';
     4704            end
     4705        case {'i1-i2_j1-j2'}
     4706             nom_type_pair='_i1-i2_j1-j2';
     4707        case '#a'
     4708            if Dtj>0 || Dtj<0
     4709                nom_type_pair='#_ab';
     4710            end
     4711        otherwise
     4712            if Dti>0 || Dti<0
     4713               nom_type_pair='_i1-i2';
     4714            end
     4715    end
     4716end
     4717

  • trunk/src/civ_matlab.m

    r346 r356  
    723723            SubRangy(isub,2)=SubRangy(isub,2)+SizY/4;
    724724        else
    725             [U_smooth_sub,U_tps_sub]=tps_coeff(X(ind_sel),Y(ind_sel),U(ind_sel),rho);
    726             [V_smooth_sub,V_tps_sub]=tps_coeff(X(ind_sel),Y(ind_sel),V(ind_sel),rho);
     725           
     726            [U_smooth_sub,U_tps_sub]=tps_coeff([X(ind_sel) Y(ind_sel)],U(ind_sel),rho);
     727            [V_smooth_sub,V_tps_sub]=tps_coeff([X(ind_sel) Y(ind_sel)],V(ind_sel),rho);
    727728            UDiff=U_smooth_sub-U(ind_sel);
    728729            VDiff=V_smooth_sub-V(ind_sel);
    … …  
    751752                % interpolation-smoothing is done again with the selected vectors
    752753            else
    753                 [U_smooth_sub,U_tps_sub]=tps_coeff(X(ind_sel(ind_ind_sel)),Y(ind_sel(ind_ind_sel)),U(ind_sel(ind_ind_sel)),rho);
    754                 [V_smooth_sub,V_tps_sub]=tps_coeff(X(ind_sel(ind_ind_sel)),Y(ind_sel(ind_ind_sel)),V(ind_sel(ind_ind_sel)),rho);
     754                [U_smooth_sub,U_tps_sub]=tps_coeff([X(ind_sel(ind_ind_sel)) Y(ind_sel(ind_ind_sel))],U(ind_sel(ind_ind_sel)),rho);
     755                [V_smooth_sub,V_tps_sub]=tps_coeff([X(ind_sel(ind_ind_sel)) Y(ind_sel(ind_ind_sel))],V(ind_sel(ind_ind_sel)),rho);
    755756                U_smooth(ind_sel(ind_ind_sel))=U_smooth(ind_sel(ind_ind_sel))+U_smooth_sub;
    756757                V_smooth(ind_sel(ind_ind_sel))=V_smooth(ind_sel(ind_ind_sel))+V_smooth_sub;

  • trunk/src/find_file_series.m

    r354 r356  
    1 %'find_file_series': check the content onf an input field and find the corresponding file series
     1%'find_file_series': check the content of an input file and find the corresponding file series
    22%--------------------------------------------------------------------------
    33% function [RootPath,RootFile,i1_series,i2_series,j1_series,j2_series,NomType,FileType,Object]=find_file_series(fileinput)

  • trunk/src/geometry_calib.m

    r341 r356  
    12091209    Tinput=CalibData.rotate;
    12101210end
    1211 T=rotate_points(Tinput);%display translate_points GUI and get shift parameters
     1211T=rotate_points(Tinput);%display rotate_points GUI to introduce rotation parameters
    12121212CalibData.rotate=T;
    12131213set(handles.geometry_calib,'UserData',CalibData)

  • trunk/src/open_uvmat.m

    r343 r356  
    1 %------------------------------------------------------------------------   
    2 % open with uvmat the  field selected in the list of 'civ/status' or 'series/check_data_files'
     1% 'open_uvmat': open with uvmat the  field selected in the list of 'civ/status' or 'series/check_data_files'
     2%------------------------------------------------------------------------
     3%function open_uvmat(hObject, eventdata)
     4%
     5% INPUT:
     6% hObject: handle of uicontrol object containing the list
     7% eventdata: not used
    38function open_uvmat(hObject, eventdata)
    49%------------------------------------------------------------------------

  • trunk/src/plot_field.m

    r334 r356  
    11801180end
    11811181
     1182%'proj_grid': project  fields with unstructured coordinantes on a regular grid
     1183% -------------------------------------------------------------------------
     1184% function [A,rangx,rangy]=proj_grid(vec_X,vec_Y,vec_A,rgx_in,rgy_in,npxy_in)
     1185
     1186
     1187function [A,rangx,rangy]=proj_grid(vec_X,vec_Y,vec_A,rgx_in,rgy_in,npxy_in)
     1188if length(vec_Y)<2
     1189    msgbox_uvmat('ERROR','less than 2 points in proj_grid.m');
     1190    return;
     1191end
     1192diffy=diff(vec_Y); %difference dy=vec_Y(i+1)-vec_Y(i)
     1193index=find(diffy);% find the indices of vec_Y after wich a change of horizontal line occurs(diffy non zero)
     1194if isempty(index); msgbox_uvmat('ERROR','points aligned along abscissa in proj_grid.m'); return; end;%points aligned% A FAIRE: switch to line plot.
     1195diff2=diff(diffy(index));% diff2 = fluctuations of the detected vertical grid mesh dy
     1196if max(abs(diff2))>0.001*abs(diffy(index(1))) % if max(diff2) is larger than 1/1000 of the first mesh dy
     1197    % the data are not regularly spaced and must be interpolated  on a regular grid
     1198    if exist('rgx_in','var') & ~isempty (rgx_in) & isnumeric(rgx_in) & length(rgx_in)==2%  positions imposed from input
     1199        rangx=rgx_in; % first and last positions
     1200        rangy=rgy_in;
     1201%             npxy=npxy_in;
     1202        dxy(1)=1/(npxy_in(1)-1);%grid mesh in y
     1203        dxy(2)=1/(npxy_in(2)-1);%grid mesh in x
     1204        dxy(1)=(rangy(2)-rangy(1))/(npxy_in(1)-1);%grid mesh in y
     1205        dxy(2)=(rangx(2)-rangx(1))/(npxy_in(2)-1);%grid mesh in x
     1206    else % interpolation grid automatically determined
     1207        rangx(1)=min(vec_X);
     1208        rangx(2)=max(vec_X);
     1209        rangy(2)=min(vec_Y);
     1210        rangy(1)=max(vec_Y);
     1211        dxymod=sqrt((rangx(2)-rangx(1))*(rangy(1)-rangy(2))/length(vec_X));
     1212        dxy=[-dxymod/4 dxymod/4];% increase the resolution 4 times
     1213    end
     1214    xi=[rangx(1):dxy(2):rangx(2)];
     1215    yi=[rangy(1):dxy(1):rangy(2)];
     1216    [XI,YI]=meshgrid(xi,yi);% creates the matrix of regular coordinates
     1217    A=griddata_uvmat(vec_X,vec_Y,vec_A,xi,yi');
     1218    A=reshape(A,length(yi),length(xi));
     1219else
     1220    x=vec_X(1:index(1));% the set of abscissa (obtained on the first line)
     1221    indexend=index(end);% last vector index of line change
     1222    ymax=vec_Y(indexend+1);% y coordinate AFTER line change
     1223    ymin=vec_Y(index(1));
     1224    %y=[vec_Y(index) ymax]; % the set of y ordinates including the last one
     1225    y=vec_Y(index);
     1226    y(length(y)+1)=ymax;
     1227    nx=length(x);   %number of grid points in x
     1228    ny=length(y);   % number of grid points in y
     1229    B=(reshape(vec_A,nx,ny))'; %vec_A reshaped as a rectangular matrix
     1230    [X,Y]=meshgrid(x,y);% positions X and Y also reshaped as matrix
     1231
     1232    %linear interpolation to improve the image resolution and/or adjust
     1233    %to prescribed positions
     1234    test_interp=1;
     1235    if exist('rgx_in','var') & ~isempty (rgx_in) & isnumeric(rgx_in) & length(rgx_in)==2%  positions imposed from input
     1236        rangx=rgx_in; % first and last positions
     1237        rangy=rgy_in;
     1238        npxy=npxy_in;
     1239    else       
     1240        rangx=[vec_X(1) vec_X(nx)];% first and last position found for x
     1241%             rangy=[ymin ymax];
     1242          rangy=[max(ymax,ymin) min(ymax,ymin)];
     1243        if max(nx,ny) <= 64 & isequal(npxy_in,'np>256')
     1244            npxy=[8*ny 8*nx];% increase the resolution 8 times
     1245        elseif max(nx,ny) <= 128 & isequal(npxy_in,'np>256')
     1246            npxy=[4*ny 4*nx];% increase the resolution 4 times
     1247        elseif max(nx,ny) <= 256 & isequal(npxy_in,'np>256')
     1248            npxy=[2*ny 2*nx];% increase the resolution 2 times
     1249        else
     1250            npxy=[ny nx];
     1251            test_interp=0; % no interpolation done
     1252        end
     1253    end
     1254    if test_interp==1%if we interpolate
     1255        xi=[rangx(1):(rangx(2)-rangx(1))/(npxy(2)-1):rangx(2)];
     1256        yi=[rangy(1):(rangy(2)-rangy(1))/(npxy(1)-1):rangy(2)];
     1257        [XI,YI]=meshgrid(xi,yi);
     1258        A = interp2(X,Y,B,XI,YI);
     1259    else %no interpolation for a resolution higher than 256
     1260        A=B;
     1261        XI=X;
     1262        YI=Y;
     1263    end
     1264end

  • trunk/src/rotate_points.m

    r74 r356  
    1 %'rotate_points': associated with GUI rotate_points.fig to display message boxes, for error, warning or input calls
    2 % rotate_points(title,display)
    3 %
     1%'rotate_points': associated with GUI rotate_points.fig to introduce (2D) rotation parameters
     2%------------------------------------------------------------------------
     3% function T=rotate_points(Tinput)
    44% OUTPUT:
    5 % answer  (text string)= 'yes', 'No', 'cancel', or the text string introduced as input
     5% T=vector size(1,3)
     6%     T(1): rotation angle
     7%     T(2): x coordiante of rotation axis
     8%     T(3): y coordiante of rotation axis
    69%
    710%INPUT:
    8 % title: string indicating the type of message box:
    9 %          title= 'INPUT_TXT','CONFIMATION' ,'ERROR', 'WARNING', 'INPUT_Y-N', default = 'INPUT_TXT' (the title is displayed in the upper bar of the fig).
    10 %          if title='INPUT_TXT', input data is asked in an edit box
    11 %          if title='CONFIMATION'', 'ERROR', 'WARNING', the figure remains  opened until a button 'OK' is pressed
    12 %          if title='INPUT_Y-N', an answer Yes/No is requested
    13 % display, displayed text
    14 % default_answer: default answer in the edit box (only used with title='INPUT_TXT')
     11% Tinput: like T, used to prefil the GUI edit boxs
    1512
    1613function varargout = rotate_points(varargin)
    17 
    18 % Last Modified by GUIDE v2.5 05-Jan-2010 15:10:10
    1914
    2015% Begin initialization code - DO NOT EDIT

  • trunk/src/set_col_vec.m

    r315 r356  
    1 %'set_col_vec': sets the color code for vectors depending on a scalar vec_C and parameters given by the struct colcode
     1%'set_col_vec': % sets the color code for vectors depending on a scalar and input parameters (used for plot_field)
     2%-----------------------------------------------------------------------
    23%function [colorlist,col_vec,minC,ColCode1,ColCode2,maxC]=colvec(colcode,vec_C)
     4%-----------------------------------------------------------------------
    35%OUTPUT
    46%colorlist(nb,3); %list of nb colors

  • trunk/src/tps_coeff.m

    r246 r356  
    1 %'tps_uvmat': calculate thin plate shell coefficients
     1%'tps_coeff': calculate the thin plate spline (tps) coefficients
     2% (ref fasshauer@iit.edu MATH 590 ? Chapter 19 32)
     3% this interpolation/smoothing minimises a linear combination of the squared curvature
     4%  and squared difference form the initial data.
     5% This function calculates the weight coefficients U_tps of the N sites where
     6% data are known. Interpolated data are then obtained as the matrix product
     7% EM*U_tps where the matrix EM is obtained by the function tps_eval.
     8% The spatial derivatives are obtained as EMDX*U_tps and EMDY*U_tps, where
     9% EMDX and EMDY are obtained from the function tps_eval_dxy.
    210%------------------------------------------------------------------------
    3 %fasshauer@iit.edu MATH 590 ? Chapter 19 32
    4 % X,Y initial coordiantes
    5 % XI vector, YI column vector for the grid of interpolation points
    6 function [U_smooth,U_tps]=tps_coeff(X,Y,U,rho)
     11% [U_smooth,U_tps]=tps_coeff(ctrs,U,rho)
     12%------------------------------------------------------------------------
     13% OUPUT:
     14% U_smooth: values of the quantity U at the N centres after smoothing
     15% U_tps: tps weights of the centres
     16
     17%INPUT:
     18% ctrs: Nxs matrix  representing the postions of the M centers, sources of the tps (s=space dimension)
     19% U: Nx1 column vector representing the initial values of the considered scalar at the centres ctrs
     20% rho: smoothing parameter: the result is smoother for larger rho.
     21
     22
     23function [U_smooth,U_tps]=tps_coeff(ctrs,U,rho)
    724%------------------------------------------------------------------------
    825%rho smoothing parameter
    9 % ep = 1;
    10 X=reshape(X,[],1);
    11 Y=reshape(Y,[],1);
    12 N=numel(X);
    13 rhs = reshape(U,[],1);
    14 rhs = [rhs; zeros(3,1)];
    15 ctrs = [X Y];% coordinates of measurement sites, radial base functions are located at the measurement sites
    16 %ctrs = dsites;%radial base functions are located at the measurement sites
     26% X=reshape(X,[],1);
     27% Y=reshape(Y,[],1);
     28% N=numel(X);
     29% rhs = reshape(U,[],1);
     30U = [U; zeros(3,1)];
     31% ctrs = [X Y];% coordinates of measurement sites, radial base functions are located at the measurement sites
    1732EM = tps_eval(ctrs,ctrs);
    18 % DM_data = DistanceMatrix(ctrs,ctrs);%2D matrix of distances between spline centres (=initial points) ctrs
    19 % IM_sites = tps(1,DM_data);%values of thin plate at site points
    20 % PM=[ones(N,1) ctrs];
    21 % EM = [IM_sites PM];
    22 %IM = IM_sites + rho*eye(size(IM_sites));%  rho=1/(2*omega) , omega given by fasshauer;
    23 
    24 %IM=[IM PM; [PM' zeros(3,3)]];
    2533RhoMat=rho*eye(N,N);%  rho=1/(2*omega) , omega given by fasshauer;
    2634RhoMat=[RhoMat zeros(N,3)];
    2735PM=[ones(N,1) ctrs];
    28 
    2936IM=[EM+RhoMat; [PM' zeros(3,3)]];
    30 %fprintf('Condition number estimate: %e\n',condest(IM))
    31 %DM_eval = DistanceMatrix(epoints,ctrs);%2D matrix of distances between extrapolation points epoints and spline centres (=site points) ctrs
    32 %EM = tps(ep,DM_eval);%values of thin plate
    33 %PM = [ones(size(epoints,1),1) epoints];
    34 %EM = [EM PM];
    35 U_tps=(IM\rhs);
    36 % PM = [ones(size(dsites,1),1) dsites];
    37 
     37U_tps=(IM\U);
    3838U_smooth=EM *U_tps;

  • trunk/src/tps_eval.m

    r273 r356  
    1 %   EM:     MxN matrix whose i,j position contains the Euclidean
    2 %              distance between the i-th data site and j-th center
    3   function EM = tps_eval(dsites,ctrs)
    4   [M,s] = size(dsites); [N,s] = size(ctrs);
    5   EM = zeros(M,N);
    6  
    7   % calculate distance matrix: accumulate sum of squares of coordinate differences
    8   % The ndgrid command produces two MxN matrices:
    9   %   Dsite, consisting of N identical columns (each containing
    10   %       the d-th coordinate of the M data sites)
    11   %   Ctrs, consisting of M identical rows (each containing
    12   %       the d-th coordinate of the N centers)
    13   for d=1:s
    14      [Dsites,Ctrs] = ndgrid(dsites(:,d),ctrs(:,d));
    15      EM = EM + (Dsites-Ctrs).^2;%EM=square of distance matrices
    16   end
     1%'tps_eval': calculate the thin plate spline (tps) interpolation at a set of points
     2% see tps_ceff for more information
     3%------------------------------------------------------------------------
     4% function EM = tps_eval(dsites,ctrs)
     5%------------------------------------------------------------------------
     6% OUPUT:
     7% EM:  Mx(N+s) matrix representing the contributions at the M sites
     8%   from unit sources located at each of the N centers, + (s+1) columns
     9%   representing the contribution of the linear gradient part.
     10%
     11%INPUT:
     12%dsites:  Nxs matrix representing the postions of the N 'observation' sites, with s the space dimension
     13%ctrs: Mxs matrix  representing the postions of the M centers, sources of the tps,
     14%
     15% related functions:
     16% tps_coeff, tps_eval_dxy
    1717
    18   % calculate tps
    19   np=find(EM~=0);
    20   EM(np) = EM(np).*log(EM(np))/2;%= tps formula r^2 log(r) (EM=r^2)
    21  
    22   % add linear gradient part:
    23   EM = [EM ones(M,1) dsites];
     18function EM = tps_eval(dsites,ctrs)
     19[M,s] = size(dsites); [N,s] = size(ctrs);
     20EM = zeros(M,N);
     21
     22% calculate distance matrix: accumulate sum of squares of coordinate differences
     23% The ndgrid command produces two MxN matrices:
     24%   Dsite, consisting of N identical columns (each containing
     25%       the d-th coordinate of the M data sites)
     26%   Ctrs, consisting of M identical rows (each containing
     27%       the d-th coordinate of the N centers)
     28for d=1:s
     29 [Dsites,Ctrs] = ndgrid(dsites(:,d),ctrs(:,d));
     30 EM = EM + (Dsites-Ctrs).^2;%EM=square of distance matrices
     31end
     32
     33% calculate tps
     34np=find(EM~=0);
     35EM(np) = EM(np).*log(EM(np))/2;%= tps formula r^2 log(r) (EM=r^2)
     36
     37% add linear gradient part:
     38EM = [EM ones(M,1) dsites];

  • trunk/src/tps_eval_dxy.m

    r247 r356  
    1 % 'DXYMatrix': calculate the matrix of thin-plate shell derivatives
    2 %
    3 % function DMXY = DXYMatrix(dsites,ctrs)
     1%'tps_eval_dxy': calculate the derivatives of thin plate spline (tps) interpolation at a set of points (limited to the 2D case)
     2%------------------------------------------------------------------------
     3% function [DMX,DMY] = tps_eval_dxy(dsites,ctrs)
     4%------------------------------------------------------------------------
     5% OUTPUT:
     6%     DMX: Mx(N+3) matrix representing the contributions to the X
     7%     derivatives at the M sites from unit sources located at each of the N
     8%     centers, + 3 columns representing the contribution of the linear gradient part.
     9%     DMY: idem for Y derivatives
    410%
    511% INPUT:
    6 %   dsites: M x s matrix of interpolation site coordinates (s=space dimension)
     12%   dsites: M x s matrix of interpolation site coordinates (s=space dimension=2 here)
    713%   ctrs: N x s matrix of centre coordinates (initial data)
    814%
    9 % OUTPUT:
    10 %     DMXY: Mx(N+1+s)xs matrix corresponding to M interpolation sites and
    11 %            N centres, with s=space dimension, DMXY(:,:,k) gives the derivatives
    12 %            along dimension k (=x, y,z) after multiplication by the N+1+s tps sources.
     15% related functions:
     16% tps_coeff, tps_eval
     17
    1318  function [DMX,DMY] = tps_eval_dxy(dsites,ctrs)
    1419  %%  matrix declarations

  • trunk/src/translate_points.m

    r36 r356  
    1 %'translate_points': associated with GUI translate_points.fig to display message boxes, for error, warning or input calls
    2 % translate_points(title,display)
    3 %
     1%'translate_points': associated with GUI translate_points.fig to display translation parameters
     2%------------------------------------------------------------------------
     3% function T=translate_points(Tinput)
     4%------------------------------------------------------------------------
    45% OUTPUT:
    5 % answer  (text string)= 'yes', 'No', 'cancel', or the text string introduced as input
    6 %
     6% T=vector size(1,3), representing the translation components along x,y,z
     7
    78%INPUT:
    8 % title: string indicating the type of message box:
    9 %          title= 'INPUT_TXT','CONFIMATION' ,'ERROR', 'WARNING', 'INPUT_Y-N', default = 'INPUT_TXT' (the title is displayed in the upper bar of the fig).
    10 %          if title='INPUT_TXT', input data is asked in an edit box
    11 %          if title='CONFIMATION'', 'ERROR', 'WARNING', the figure remains  opened until a button 'OK' is pressed
    12 %          if title='INPUT_Y-N', an answer Yes/No is requested
    13 % display, displayed text
    14 % default_answer: default answer in the edit box (only used with title='INPUT_TXT')
     9% Tinput: like T, used to prefil the GUI edit boxs
    1510
    1611function varargout = translate_points(varargin)
    17 
    18 % Last Modified by GUIDE v2.5 05-Jan-2010 19:31:33
    1912
    2013% Begin initialization code - DO NOT EDIT

  • trunk/src/view_field.m

    r329 r356  
    130130end
    131131num_i1_mask=mod(num_i1-1,MaskData.NbSlice)+1;
    132 [MaskName,mdetect]=name_generator(MaskData.Base,num_i1_mask,num_j1,'.png',MaskData.NomType);
     132[RootPath,RootFile]=fullfile(MaskData.Base);
     133MaskName=fullfile_uvmat(RootPath,'',RootFile,'.png',MaskData.NomType,num_i1_mask,[],num_j1);
     134%[MaskName,mdetect]=name_generator(MaskData.Base,num_i1_mask,num_j1,'.png',MaskData.NomType);
    133135huvmat=get(handles.mask_test,'parent');
    134136UvData=get(huvmat,'UserData');

  • trunk/src/xml2struct.m

    r324 r356  
     1% 'xml2struct': read an xml file as a Matlab structure, converts numeric character strings into numbers
     2%-----------------------------------------------------------------------
     3% function s=xml2struct(filename)
     4%
     5% OUTPUT:
     6% s= Matlab structure corresponding to the input xml file
     7%
     8% INPUT:
     9% filename: name of the xml file
     10
    111function s=xml2struct(filename)
    2 % structure parser, converts numeric character strings into numbers
    3 
    412t=xmltree(filename);
    513ss=convert(t);
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