Serendipity
b8a8ff2bc6
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
14 lines
376 B
Matlab
14 lines
376 B
Matlab
function H=Heaviside(z)
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% Heaviside step function (smoothed version)
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% Copyright (c) 2009,
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% Yue Wu @ ECE Department, Tufts University
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% All Rights Reserved
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Epsilon=10^(-5);
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H=zeros(size(z,1),size(z,2));
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idx1=find(z>Epsilon);
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idx2=find(z<Epsilon & z>-Epsilon);
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H(idx1)=1;
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for i=1:length(idx2)
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H(idx2(i))=1/2*(1+z(idx2(i))/Epsilon+1/pi*sin(pi*z(idx2(i))/Epsilon));
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end; |