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

参考资料/NewGridAndCV/checkstop.m

@@ -0,0 +1,37 @@
+function indicator = checkstop(old,new,dt)
+% indicate whether we should performance further iteraions or stop
+
+% Copyright (c) 2009, 
+% Yue Wu @ ECE Department, Tufts University
+% All Rights Reserved  
+
+layer = size(new,3);
+
+for i = 1:layer
+    old_{i} = old(:,:,i);
+    new_{i} = new(:,:,i);
+end
+
+if layer
+    ind = find(abs(new)<=.5);
+    M = length(ind);
+    Q = sum(abs(new(ind)-old(ind)))./M;
+    if Q<=dt*.18^2
+        indicator = 1;
+    else
+        indicator = 0;
+    end
+else
+    ind1 = find(abs(old_{1})<1);
+    ind2 = find(abs(old_{2})<1);
+    M1 = length(ind1);
+    M2 = length(ind2);
+    Q1 = sum(abs(new_{1}(ind1)-old_{1}(ind1)))./M1;
+    Q2 = sum(abs(new_{2}(ind2)-old_{2}(ind2)))./M2;
+    if Q1<=dt*.18^2 && Q2<=dt*.18^2
+        indicator = 1;
+    else
+        indicator = 0;
+    end
+end
+return