Files
cDNA-image-processing/参考资料/NewGridAndCV/showphi.m
T
Serendipity b8a8ff2bc6 feat: cDNA微阵列图像处理作业 - Python实现
实现内容:
- 网格划分:投影分析 + 自相关估周期 + 白顶帽去背景 + 质心提取
- 三种阈值分割:人工阈值、Otsu自动阈值、迭代阈值
- TV去噪(Chambolle投影算法)
- 后处理:去小连通域 + 保留最大连通域
- 完整可视化:网格叠加、阈值对比、收敛曲线、分割结果

参考MATLAB代码:NewGridAndCV/demo_GriddingAndCV.m
2026-05-06 19:41:26 +08:00

26 lines
693 B
Matlab

function showphi(I, phi, i)
% show curve evolution of phi
% Copyright (c) 2009,
% Yue Wu @ ECE Department, Tufts University
% All Rights Reserved
for j = 1:size(phi,3)
phi_{j} = phi(:,:,j);
end
% imshow(I,'initialmagnification','fit','displayrange',[0 255]);
% hold on;
if size(phi,3) == 1
contour(phi_{1}, [0 0], 'r','LineWidth',4);
contour(phi_{1}, [0 0], 'g','LineWidth',1.3);
else
contour(phi_{1}, [0 0], 'r','LineWidth',4);
contour(phi_{1}, [0 0], 'x','LineWidth',1.3);
contour(phi_{2}, [0 0], 'g','LineWidth',4);
contour(phi_{2}, [0 0], 'x','LineWidth',1.3);
end
% hold off;
% title([num2str(i) ' Iterations']);
drawnow;