watershed

精通matlab，matlab使用和开发很好的电子书(Proficient in matlab, matlab use and development of good e-book)

一种新的图像细化算法，可以得到准确的细化边缘。(A new thinning algorithm, can be accurately refined edge.)

干涉图像光谱复原matlab仿真,主要通过设置虚拟光源光谱、对波真面分束空间干涉模型设定以及光谱复原等组成。(Resctruction the spectrum from the image of interference )

说明：  本压缩包是对资料进行整合，整合内容均可用。包括快速emd eemd等资料(This compression package is for data integration, and the integrated content is available. Including fast EMD EEMD and other data)

利用MATLAB作为平台，实现希尔伯特变换的程序源代码(Hilbert transform source code )

说明：  matlab源码...利用matlab工具箱画出三维螺线。(matlab source code ... using matlab toolbox to draw three-dimensional spiral.)

pear1.5的安装包，解压到smarty的目录基本就可以使用了。(pear1.5 installation kits, smarty extract the basic directory can use it.)

说明：  quarter car model for estimating vehicle states using EKF(a simple example to show how Extended kalman filter works in simulink)

fbg各项参数（中心波长、线型展宽、反射谱型）的matlab具体模拟(fbg various parameters (center wavelength, line broadening, the reflection spectrum type) of matlab simulation specific)

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)... *()