matlab与神经网络
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clear all;
clc
for kk=0:
pl=ones(16,16);
m=strcat(int2str(kk),'.bmp');
x=imread('2.bmp');
bw=im2bw(x,0.5);
[i,j]=find(bw==0);
imin=min(i);
imax=max(i);
jmin=min(j);
jmax=max(j);
bw1=bw(imin:imax:jmin:jmax);
rate=16/max(size(bw1));
bw1=imresize(bw1,rate);
[i,j]=size(bw1);
i1=round((16-i)/2);
j1=round((16-j)/2);
p1(i1+1:i1+i,j1+1:j1+j)=bw1;
p1=-1.*p1+ones(16,16);
for m=0:15
p(m*16+1:(m+1)*16,kk+1)=p1(1:16,m+1);
end
switch kk
case{0,10,20,30,40,50,60,70,80,90}
t(kk+1)=0;
case{1,11,21,31,41,51,61,71,81,91}
t(kk+1)=1;
case{2,12,22,32,42,52,62,72,82,92}
t(kk+1)=2;
case{3,13,23,33,43,53,63,73,83,93}
t(kk+1)=3;
case{4,14,24,34,44,54,,74,84,94}
t(kk+1)=4;
case{5,15,25,35,45,55,65,75,85,95}
t(kk+1)=5;
case{6,16,26,36,46,56,66,76,86,96}
t(kk+1)=6;
case{7,17,27,37,47,57,67,77,87,97}
t(kk+1)=7;
case{8,18,28,38,48,58,68,78,88,98}
t(kk+1)=8;
case{9,19,29,39,49,59,69,79,,99}
t(kk+1)=9;
end
end
热心网友
给个最佳↖(^ω^)↗
