資源簡介
用matlab實現模糊c均值聚類,并且實現圖像分割。
代碼片段和文件信息
close?all;
clc;
tic
%IM是輸入的原圖像
%IX2是分類結果
tmp=imread(‘Lenna.tif‘);
figure(1)
imshow(tmp);
IM=double(tmp);
[maxXmaxY]=size(IM);
IMM=cat(3IMIMIM);
%初始化聚類中心(4類)
cc1=8;
cc2=100;
cc3=200;
ttFcm=0;
while(ttFcm<15)
????ttFcm=ttFcm+1;
????
????c1=repmat(cc1maxXmaxY);
????c2=repmat(cc2maxXmaxY);
????c3=repmat(cc3maxXmaxY);
????
????c=cat(3c1c2c3);
????
????ree=repmat(0.000001maxXmaxY);
????ree1=cat(3reereeree);
????
????distance=IMM-c;
????distance=distance.*distance+ree1;
????
????daoShu=1./distance;
????
????daoShu2=daoShu(::1)+daoShu(::2)+daoShu(::3);
????%計算隸屬度u
????distance1=distance(::1).*daoShu2;
????u1=1./distance1;
????distance2=distance(::2).*daoShu2;
????u2=1./distance2;
????distance3=distance(::3).*daoShu2
- 上一篇:圖像檢索圖像檢索matlab
- 下一篇:matlab制作的登陸界面
評論
共有 條評論