均值滤波matlab程序代码.docx

均值滤波matlab程序代码%均值滤波 %方法一：filter2 clear all; figure I=rgb2gray(imread('132.jpg'); I=imnoise(I,'salt& pepper',0.1); %加入椒盐噪声 K1=filter2(fspecial('average',3),I)/255; %进行3*3均值滤波 K2=filter2(fspecial('average',5),I)/255; %进行5*5均值滤波 K3=filter2(fspecial('average',7),I)/255; %进行7*7均值滤波 subplot(2,2,1),imshow(I),title('椒盐噪声图'); %显示原图像 subplot(2,2,2),imshow(K1),title('3*3均值滤波图像'); subplot(2,2,3),imshow(K2),title('5*5均值滤波图像'); subplot(2,2,4),imshow(K3),title('7*7均值滤波图像'); %方法二 双循环语句，移动平均法 %均值滤波 clc,clear; figure f=rgb2gray(imread('132.jpg'); subplot(2,2,1),imshow(f),title('原图'); f1=imnoise(f,'gaussian',0.002,0.0008); subplot(2,2,2),imshow(f1),title('高斯噪声图'); k1=floor(3/2)+1; k2=floor(3/2)+1; X=f1; M,N=size(X); uint8 Y=zeros(M,N); funBox=zeros(3,3); fori=1:M-3 for j=1:N-3 funBox=X(i:i+3,j:j+3); s=sum(funBox(:); h=s/16; Y(i+k1,j+k2)=h; end; end; Y=Y/255; subplot(2,2,3),imshow(Y),title('均值滤波图');