%本程序是利用最大類間方差算法求解自適應(yīng)閾值，對(duì)圖像進(jìn)行分割
clear;
warning?off;

web?-browser?http://www.ilovematlab.cn/thread-10282-1-1.html
SE?=?strel（‘diamond‘4）;
BW1?=?imread（‘img1.bmp‘）;
BW2?=?imerode（BW1SE）;
BW3?=?imdilate（BW2SE）;
BW4?=?BW1-BW3;

%rgb轉(zhuǎn)灰度
if?isrgb（BW4）==1
????I_gray=rgb2gray（BW4）;
else
????I_gray=BW4;
end
figureimshow（I_gray）;
I_double=double（I_gray）;%轉(zhuǎn)化為雙精度
[widlen]=size（I_gray）;
colorlevel=256;??%灰度級(jí)
hist=zeros（colorlevel1）;%直方圖
%threshold=128;?%初始閾值

%計(jì)算直方圖
for?i=1:wid
????for?j=1:len
????????m=I_gray（ij）+1;
????????hist（m）=hist（m）+1;
????end
end
hist=hist/（wid*len）;%直方圖歸一化
miuT=0;
for?m=1:colorlevel
????miuT=miuT+（m-1）*hist（m）;
end
xigmaB2=0;

for?mindex=1:colorlevel
????threshold=mindex-1;
????omega1=0;
????omega2=0;
????for?m=1:threshold-1
??????????omega1=omega1+hist（m）;
????end
????omega2=1-omega1;
????miu1=0;
????miu2=0;

????for?m=1:colorlevel
????????if?m???????????miu1=miu1+（m-1）*hist（m）;
????????else
???????????miu2=miu2+（m-1）*hist（m）;
????????end
????end
????miu1=miu1/omega1;
????miu2=miu2/omega2;
????xigmaB21=omega1*（miu1-miuT）^2+omega2*（miu2-miuT）^2;
????xigma（mindex）=xigmaB21;
????if?xigmaB21>xigmaB2
????????finalT=threshold;
????????xigmaB2=xigmaB21;
????end
end
fT=finalT/255?%閾值歸一化
T=graythresh（I_gray）%matlab函數(shù)求閾值
for?i=1:wid
????for?j=1:len
????????if?I_double（ij）>finalT
????????????bin（ij）=1;
????????else
????????????bin（ij）=0;
????????end
????end
end
figureimshow（bin）;
figureplot（1:colorlevelxigma）;

?屬性????????????大小?????日期????時(shí)間???名稱
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?????文件???????1609??2008-05-23?18:02??tuxiangfenge.m

?????文件????????122??2008-05-14?18:20??Matlab中文論壇--助努力的人完成畢業(yè)設(shè)計(jì).url

?????文件???????3434??2008-05-15?08:26??使用幫助：新手必看.htm

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?????????????????5165????????????????????3