regiongrow.m源码:
function [g,NR,SI,TI]=regiongrow(f,S,T)
f=tofloat(f);
if numel(S)==1
SI=f==S;
S1=S;
else
SI=bwmorph(3,'shrink',Inf);
S1=f(SI);
end
TI=false(size(f));
for K=1:length(S1)
seedvalue=S1(K);
S=abs(f-seedvalue)<=T;
TI=TI|S;
end
[g,NR]=bwlabel(imreconstruct(SI,TI));
上面需要用到的tofloat函数源码:
function [out, revertclass] = tofloat(in)
identity = @(x) x;
tosingle = @im2single;
table = {'uint8', tosingle, @im2uint8
'uint16', tosingle, @im2uint16
'int16', tosingle, @im2int16
'logical', tosingle, @logical
'double', identity, identity
'single', identity, identity};
classIndex = find(strcmp(class(in), table(:, 1)));
if isempty(classIndex)
error('Unsupported input image class.');
end
out = table{classIndex, 2}(in);
revertclass = table{classIndex, 3};
本文深入解析了区域生长算法的实现细节,通过regiongrow.m源代码展示了如何基于种子点进行区域扩展,介绍了关键步骤如图像浮点转换、种子点选择、阈值设定及最终区域标记的过程。适用于图像处理与计算机视觉领域的研究与应用。
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