进行二维中值滤波，领域为M*N,缺省值为3*3Р(2)利用拉氏算子锐化图像，如：Рi=imread('e:\w01.tif);Рj=double(i);Рh=[0,1,0;1,-4,0;0,1,0];%拉氏算子Рk=conv2(j,h,'same');РР对矩阵i进行二维中值滤波，领域为3*3Р椒盐噪声干扰图像Р椒盐噪声干扰图像')Р领域为3*3二维中值滤波')Р领域为5*5二维中值滤波')Р领域为7*7二维中值滤波')Р领域为3巧二维中值滤波Р领域为5节二维中值滤波Р领域为7*7二维中值波波РР1、采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波，窗口Р分别采用3*3,5*5,7*7РI=imread('f:\lena.png');РJ=imnoise(I,'salt&pepper',0.04);РK1=medfilt2(J,[33]);%РK2=medfilt2(J,[55]);РK3=medfilt2(J,[77]);Рsubplot(2,2,1);imshow(J);title('Рsubplot(2,2,2);imshow(K1);title('subplot(2,2,3);imshow(K2);title('subplot(2,2,4);imshow(K3);title('Р2、采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波РI=imread('f:\lena.png');Рj=imnoise(i,'gaussian',0,0.02);%模拟均值为0方差为0.02的高斯噪РM=filter2(fspecial('average',9),J)/255;%模板尺寸为9РРsubplot(2,1,1);imshow(j);title('噪声干扰图像')Рsubplot(2,1,2);imshow(M);title('改进后的图像')
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