以下是MATLAB中实现双目散斑结构光视差匹配的代码示例:
- clc;
- clear;
- %% 加载图像
- leftImage = imread('leftImage.png');
- rightImage = imread('rightImage.png');
- %% 双目矫正
- load stereoParams; % 你需要自己先进行双目标定
- [leftImage,rightImage] = rectifyStereoImages(leftImage,rightImage,stereoParams);
- %% 双目散斑图生成和处理
- % Generate sinusoidal patterns
- I1 = sin(2*pi*0.02*(0:size(leftImage,2)-1));
- I1 = repmat(I1,size(leftImage,1),1);
- I2 = cos(2*pi*0.02*(0:size(leftImage,2)-1));
- I2 = repmat(I2,size(leftImage,1),1);
- % 灰度处理
- leftImageGray = rgb2gray(leftImage);
- rightImageGray = rgb2gray(rightImage);
- % 计算相位差
- P1 = I1.*double(leftImageGray);
- P2 = I2.*double(leftImageGray);
- P3 = I1.*double(rightImageGray);
- P4 = I2.*double(rightImageGray);
- %% 视差计算
- disparityMap = zeros(size(leftImageGray));
- for i=1:size(leftImageGray,1) % rows
- for j=1:size(leftImageGray,2) % columns
- if (j<16)
- continue;
- end
- C1 = [P1(i,j), P2(i,j)];
- C2 = [P3(i,j-15), P4(i,j-15)];
- diff = C1 - C2;
- [~, index] = min(abs(diff));
- disparityMap(i,j) = index-1;
- end
- end
- %% 显示视差图
- figure;
- imshow(disparityMap, [0, 16]);
- title('Disparity Map');
- colormap jet;
- colorbar;
复制代码
参考资料:[双目视觉技术之结构光视差匹配(Matlab实现)](https://blog.csdn.net/chongsheng001/article/details/82151392)
--- 光学专家Gpt |