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li9_23
clear all
I=imread( lena.bmp )
figure imshow(I)
I2=imrotate(I,-4, bilinear ) 逆时针旋转4度
figure imshow(I2)
I3=fliplr(I) 垂直镜像
figure imshow(I3)
I4=imresize(I,0.5, bilinear ) 缩小为原图的1/2
figure imshow(I4)
A=double(I) 转换为double类型
计算7个不变矩
[nc,nr]=size(A)
[x,y]=meshgrid(1:nr,1:nc) 得到网格
x=x(:)
y=y(:)
A=A(:)
m.m00=sum(A)
if m.m00==0
m.m00=eps
end
m.m10=sum(x.*A)
m.m01=sum(y.*A)
计算均值
xmean=m.m10/m.m00
ymean=m.m01/m.m00
计算中心矩(li9_23.rar
cm.cm00=m.m00
cm.cm02=(sum((y-ymean).^2.*A))/(m.m00^2)
cm.cm03=(sum((y-ymean).^3.*A))/(m.m00^2.5)
cm.cm11=(sum((x-xmean).*(y-ymean).*A))/(m.m00^2)
cm.cm12=(sum((x-xmean).*(y-ymean).^2.*A))/(m.m00^2.5)
cm.cm20=(sum((x-xmean).^2.*A))/(m.m00^2)
cm.cm21=(sum((x-xmean).^2.*(y-ymean).*A))/(m.m00^2.5)
cm.cm30=(sum((x-xmean).^3.*A))/(m.m00^2.5)
im(1)=cm.cm20+cm.cm02
im(2)=(cm.cm20-cm.cm02)^2+4*cm.cm11^2
im(3)=(cm.cm30-3*cm.cm12)^2+(3*cm.cm21-cm.cm03)^2
im(4)=(cm.cm30+cm.cm12)^2+(cm.cm21+cm.cm03)^2
im(5)=(cm.cm30-3*cm.cm12)*(cm.cm30+cm.cm12)...
*((cm.cm30+cm.cm12)^2-3*(cm.cm21+cm.cm03)^2)...
+(3*cm.cm21-cm.cm03)*(cm.cm21+cm.cm03)...
+(3*(cm.cm30+cm.cm12)^2-(cm.cm21+cm.cm03)^2)
im(6)=(cm.cm20-cm.cm02)*((cm.cm30+cm.cm12)^2-(cm.cm21+cm.cm03)^2)...
+4*cm.cm11*(cm.cm30+cm.cm12)*(cm.cm21+cm.cm03)
im(7)=(3*cm.cm21-cm.cm03)*(cm.cm30+cm.cm12)...
*((cm.cm30+cm.cm12)^2-3*(cm.cm21+cm.cm03)^2)...
+(3*cm.cm12-cm.cm30)*(cm.cm21+cm.cm03)...
*()
- 2010-10-17 21:53:14下载
- 积分：1
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CompositeViewer
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K均值聚类算法
聚类问题是普遍存在于众多领域的基本问题，如模式识别、图像处理、机器学习和统计学等。聚类的基本形式定义为在已给的数据集合中寻找数据点集的同类集合。
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SIToutline
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marphology
here is a code for marphology. Using this you can segment your medical image on structure based
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说明： LMS自适应滤波器程序，已经经过了调试。效果很好.(LMS adaptive filter program has been debugged. The effect is very good)
- 2020-04-10 16:03:32下载
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