ifcosisgood.m

这是在MATLAB下编写的基于彩色条纹的相位测量轮廓术的源码,很实用.,在光学三维测量中

clear all
close all
clc

[filename,pathname] = uigetfile('*.bmp','打开拍摄回来的红色图像...');
fName = strcat(pathname,filename);
Rpicture = double(imread(fName));
% idisp(uint8(Rpicture))
[Row,Column,n] = size(Rpicture);
sumR1 = zeros(1,Column);
sumR2 = zeros(1,Column);
sumR3 = zeros(1,Column);
for i = 20:Row-20
    sumR1 = sumR1 + Rpicture(i,:,1);
    sumR2 = sumR2 + Rpicture(i,:,2);
    sumR3 = sumR3 + Rpicture(i,:,3);
end
sumR1 = sumR1./Row;
sumR2 = sumR2./Row;
sumR3 = sumR3./Row;
figure;plot(sumR1,'r');hold on;plot(sumR2,'k');hold on;plot(sumR3,'g');title('Red');grid on
[filename,pathname] = uigetfile('*.bmp','打开拍摄回来的绿色图像...');
fName = strcat(pathname,filename);
Gpicture = double(imread(fName));
% idisp(uint8(Gpicture))
[Row,Column,n] = size(Gpicture);
sumG1 = zeros(1,Column);
sumG2 = zeros(1,Column);
sumG3 = zeros(1,Column);
for i = 20:Row-20
    sumG1 = sumG1 + Gpicture(i,:,2);
    sumG2 = sumG2 + Gpicture(i,:,1);
    sumG3 = sumG3 + Gpicture(i,:,3);
end
sumG1 = sumG1./Row;
sumG2 = sumG2./Row;
sumG3 = sumG3./Row;
figure;plot(sumG1,'r');hold on;plot(sumG2,'k');hold on;plot(sumG3,'g');title('Green');grid on
[filename,pathname] = uigetfile('*.bmp','打开拍摄回来的蓝色图像...');
fName = strcat(pathname,filename);
Bpicture = double(imread(fName));
% idisp(uint8(Bpicture))
[Row,Column,n] = size(Bpicture);
sumB1 = zeros(1,Column);
sumB2 = zeros(1,Column);
sumB3 = zeros(1,Column);
for i = 20:Row-20
    sumB1 = sumB1 + Bpicture(i,:,3);
    sumB2 = sumB2 + Bpicture(i,:,2);
    sumB3 = sumB3 + Bpicture(i,:,1);
end
sumB1 = sumB1./Row;
sumB2 = sumB2./Row;
sumB3 = sumB3./Row;
figure;plot(sumB1,'r');hold on;plot(sumB2,'k');hold on;plot(sumB3,'g');title('Blue');grid on