✅作者简介：热爱科研的Matlab仿真开发者，修心和技术同步精进，matlab项目合作可私信。
🍎个人主页：Matlab科研工作室
🍊个人信条：格物致知。
更多Matlab仿真内容点击👇
⛄ 内容介绍
In this paper, for a phase measuring profilometry (PMP) system based on a digital light projector, a novel method of grating fringe quick pre-correction is proposed. In the actual engineering conditions, it is impractical to strictly limit the geometry of the system. So grating fringes on the reference plane often appear as distortions of keystone and period broadening, which are difficult to completely eliminate in the traditional calibration process. A precorrection method based on analytic spatial transform is designed to solve these problems individually. The correction process occurs before the digital micromirror device image is generated, and theoretically, it can be compatible with most existing PMP correction and calibration methods. The correction is simple and completely implicit, and does not require a special calibration target. The correction is quick, only needs to project and shoot a fringe pattern and a corner pattern, and can be completed within a few seconds. A simulation and several experiments were carried out to verify the effectiveness of this method.
⛄ 部分代码
clc
clear
close all
%% 使用PMP恢复圆锥并对比
% rootFolder = fullfile([pwd,'\PMPbefore1']);
rootFolder = fullfile([pwd,'\PMPafter1']);
imgSets = imageSet(rootFolder);%遍历文件夹
count=imgSets.Count(1,1);%文件夹内图像数
group=5;%5个为1组做一次PMP
num=floor(count/group);%定标次数
xy=2*pi/5;%投影光栅相移量
% h1=figure;
% I=read(imgSets,1);
% imshow(I,[]);
% title('第一幅图像，左上到右下选取ROI');
% [px1,py1]=ginput(2);
% close(h1);
% h2=figure;
% I=read(imgSets,count);
% imshow(I,[]);
% title('最后一幅图像，左上到右下选取ROI');
% [px2,py2]=ginput(2);
% px=[max([px1(1),px2(1)]);min([px1(2),px2(2)])];
% py=[max([py1(1),py2(1)]);min([py1(2),py2(2)])];
px=[109;903];
py=[181;741];
LX=px(2)-px(1);
LY=py(2)-py(1);
Ephase=cell(1,num);
for i=1:num
B=cell(1,group);
for j=1:group
n=(i-1)*group+j;
B{j}=read(imgSets,n);
if size(B{j},3)==3
B{j}=double(rgb2gray(B{j}));
else
B{j}=double(B{j});
end
B{j}=imcrop(B{j},[px(1) py(1) LX+1 LY+1]);
end
B{j}=B{j}.*255./(max(B{j}(:))-min(B{j}(:)));
Ephase{i}=atan2( (2*(B{2}-B{4}))*sin(xy) ,(2*B{3}-B{1}-B{5}) );
Ephase{i}=single(Ephase{i});
end
figure,imshow(B{end},[]);
% figure;mesh( Ephase{2});
unwrapPhase=cell(1,num);
cha_unwrapPhase=cell(1,num-1);
% figure;
for i=1:num
unwrapPhase{i}=Miguel_2D_unwrapper(Ephase{i});
% unwrapPhase{i}=GetUnwrappedPhase_Bone(Ephase{i},pi/2);
% unwrapPhase{i}=Diamond(Ephase{i});
end
for i=1:num-1
cha_unwrapPhase{i}=unwrapPhase{i+1}-unwrapPhase{1};
% figure,mesh(-cha_unwrapPhase{i});
end
P=-cha_unwrapPhase{1};
[m,n]=size(P);
x=1:n;y=1:m;
[x,y]=meshgrid(x,y);
cankao=mean(mean(P(:,300:end)));
cankao = round(cankao/pi)*pi;
P=P-cankao;
figure,mesh(P);
view(3);
colormap gray
colorbar
figure,imshow(P,[]);
colorbar
disp(['Height is ',num2str(max(P(:)))])
% figure,plot3(x(:),y(:),P(:),'b.');
% figure,mesh(-unwrapPhase{1});
% figure,mesh(-unwrapPhase{2});
% save After1.mat P cankao
% save Before1.mat P cankao
