DICM.rar_DICM_DICM技术matlab_DICM散斑全称_dicm matlab_数字散斑

% Initialize data % written by Chris and Dan % Displacement.m allows you to analyze the data you aquiered with the % correlation, fitting or mean routine. It only needs the validx and % validy and can calculate strain from it. Before you start you should % consider cleaning up the data as described in the guide. After that step % you can analyze parts of your data, or the full set. Try to use also the % console command, e.g. if you want to analyze only image 100-110 since % something really interesting happend there, load validx and validy into % your workspace and call % displacement(validx(:,100:110),validy(:,100:110)); % In this case displacement only loads the important images and you can % clean this part of your data set. % Changed 3. February 2008 function [validx,validy]=displacement(validx,validy) %load data in case you did not load it into workspace yet if exist('validx')==0 [validxname,Pathvalidx] = uigetfile('*.dat','Open validx.dat'); if validxname==0 disp('You did not select a file!') return end cd(Pathvalidx); validx=importdata(validxname,'\t'); end if exist('validy')==0 [validyname,Pathvalidy] = uigetfile('*.dat','Open validy.dat'); if validyname==0 disp('You did not select a file!') return end cd(Pathvalidy); validy=importdata(validyname,'\t'); end %define the size of the data set sizevalidx=size(validx); sizevalidy=size(validy); looppoints=sizevalidx(1,1); loopimages=sizevalidx(1,2); %calculate the displacement relative to the first image in x and y %direction clear displx; validxfirst=zeros(size(validx)); validxfirst=mean(validx(:,1),2)*ones(1,sizevalidx(1,2)); % 新建一个矩阵，每列都等于validx(:,1) %M = mean(A,dim) 返回A中沿着标量dim指定的维数上的元素的平均值。对于矩阵，mean(A,2)就是包含每一行的平均值的列向量。 displx=validx-validxfirst; % 得到X位移 save displx.dat displx -ascii -tabs clear validxfirst clear disply; validyfirst=zeros(size(validy)); validyfirst=mean(validy(:,1),2)*ones(1,sizevalidy(1,2)); % 新建一个矩阵，每列都等于validy(:,1) disply=validy-validyfirst; % 得到y位移 save disply.dat disply -ascii -tabs clear validyfirst %Prompt user for type of plotting / visualization selection10 = menu(sprintf('How do you want to visualize your data?'),'3D Mesh Plot of Displacement'... ,'Full Strain Plots','Strain Measurement between 2 Points','1D Average Strain Measurement',... 'Rotate Orientation (exchange x and y)','Remove badly tracked marker, one by one (Position)',... 'Delete multible markers (Position)','Delete markers from displacement vs. position plot',... 'Delete points moving relative to their neighbours','Select Markers to Analyze ',... 'Save validx and validy','Average a couple of images','Cancel'); % Selection for Cancel - All windows will be closed and you jump back to % the command line if selection10==13 close all; return end % This selection will average up a specified number of images to reduce the % noise of the data set. I would like to point out that you will need to % average your other sensor data (e.g. load data), too, to match it to your % strain data. if selection10==12 prompt = {'How many images would you like to combine as a base image? 对前多少张图片的网格压缩'}; dlg_title = 'Input number of images:'; num_lines= 1; def = {'5'}; answer = inputdlg(prompt,dlg_title,num_lines,def); if str2num(cell2mat(answer(1)))==0 disp('Get out, you changed your mind?') [validx validy]=displacement(validx,validy); return else baseimages = str2num(cell2mat(answer(1))); if baseimages==[] disp('Give me a number, will you?') [validx validy]=displacement(validx,validy); return end if baseimages>loopimages % 输入的数字过大， 超过分析的照片个数 disp('That is too large?!') else baseimagemean=mean(validx(:,1:baseimages),2); % 1：baseimages 列矩阵 沿行进行平均 validx(:,1:baseimages-1)=[]; % 把 validx 非baseimages 列设为空列 validx(:,1)=baseimagemean; % 形成新的图片网格 baseimagemean=mean(validy(:,1:baseimages),2); validy(:,1:baseimages-1)=[]; validy(:,1)=baseimagemean; end end [validx validy]=displacement(validx,validy); return end % Save validx and validy, very useful if you cleaned up your dataset. Data % will be saved as -ascii text file. If you send data like this by email % you can reduce the size tremendously by compressing it. Use ZIP or RAR. if selection10==11 [FileName,PathName] = uiputfile('validx_corr.dat','Save validx'); if FileName==0 disp('You did not save your file!') [validx validy]=displacement(validx,validy); return else cd(PathName) save(FileName,'validx','-ascii') [FileName,PathName] = uiputfile('validy_corr.dat','Save validy'); if FileName==0 disp('You did not save your file!') [validx validy]=displacement(validx,validy); else cd(PathName) save(FileName,'validy','-ascii') end [validx validy]=displacement(validx,validy); return end end % Select Points from detailed Analysis if selection10==10 [validx validy validxbackup validybackup]=ppselection_func(validx,validy); % ppselection_func if validx==0 validx=validxbackup; validy=validybackup; end if validy==0 validx=validxbackup; validy=validybackup; end [validx validy]=displacement(validx,validy); end % Remove markers moving relativ to their neighbours if selection10==9 [validx,validy,displx,disply]=delete_jumpers(validx,validy,displx,disply); %delete_jumpers [validx validy]=displacement(validx,validy); end % Remove markers from the displacement vs. position plot if selection10==8 [validx,validy,displx,disply]=removepoints_func(validx,validy,displx,disply); %removepoints_func [validx validy]=displacement(validx,validy); end % Remove bad points if selection10==7 [validx,validy]=removepoints_func2(validx,validy); % removepoints_func2 [validx validy]=displacement(validx,validy); end % Remove bad points if selection10==6 [validx validy]=removepoints_func3(validx,validy); % removepoints_func3 [validx validy]=displacement(validx,validy); end % Rotate Matrix if selection10==5 [validx, validy]=rotatematrix(validx,validy); % rotatematrix [validx validy]=displacement(validx,validy); end % 1D Strain plot using average strains for ELASTIC STRAIN only if selection10==4 [validx validy]=strain_1D_average_func(validx, validy,displx,disply); %strain_1D_average_func [validx validy]=displacement(validx,validy); end % 1D Strain plot if selection10==3 [validx, validy,displx,disply]=strain_1D_2Points_func(validx, validy,displx,disply); % strain_1D_2Points_func [validx validy]=displacement(validx,validy); end % Fast plotting, cropping needed for polynomial fit if selection10==2 [validx, validy,displx,disply]=polyfit3D(validx, validy,displx,disply); % polyfit3D [validx validy]=displacement(validx,validy); end % 3D Mesh Plotting if selection10==1 if sizevalidx(1,1)>2 [validx, validy,~,disply]=meshplot(validx,validy,displx,disply); % meshplot else disp('You need at least three markers to display the 3D-plot') msgbox('You need at least three markers to display the 3D-plot','3D-Plot','warn'); end [validx validy]=displacement(validx,validy); end %--------------------------------- function [validx,validy,displx,disply]=delet