数字图像学习3

>>  f = imread('C:\Users\Administrator\Desktop\1.jpg');
>> imshow(f)

>> gray = rgb2gray(f);
>> [rows,cols]=size(gray);

for i = 1:rows
    for j = 1:cols
       if gray(i,j) > max
           max = gray(i,j);
       end
       if gray(i,j) < min
          min = gray(i,j);
       end
       avg = avg + gray(i,j);
    end
end
%输出最大最小和平均值
max
min 
avg = avg/(rows*cols)

clear all; close all;clc;

img=imread('C:\Users\Administrator\Desktop\1.jpg');
img = rgb2gray(img);
imshow(img,[]);

[h,w]=size(img);
imgn=zeros(h,w);

n=12;
nw=floor(w/n)*n;
nh=floor(h/n)*n;

for y=1:n:nh
    for x=1:n:nw
        imgn(y:y+n-1,x:x+n-1)=mean(mean(img(y:y+n-1,x:x+n-1)));       
    end

    imgn(y:y+n-1,nw+1:w)=mean(mean(img(y:y+n-1,nw+1:w)));   %处理最后一列
    imgn(y,1:w)=128; 
end

for x=1:n:nw
    imgn(nh+1:h,x:x+n-1)=mean(mean(img(nh+1:h,x:x+n-1)));   %处理最后一行
    imgn(1:h,x)=128;    
end

imgn(nh+1:h,nw+1:w)=mean(mean(img(nh+1:h,nw+1:w)));     %处理最后一个角

imgn(1:h,nw)=128;
imgn(1:h,w)=128;

imgn(nh,1:w)=128;
imgn(h,1:w)=128;

figure;imshow(imgn,[])

IMG = imread('C:\Users\Administrator\Desktop\1.jpg');
pix_grp = 10; %此数值越大马赛克效果越明显 
[widt,height,deep] = size(IMG);
mosaic = imresize(IMG,[floor(height/pix_grp) floor(widt/pix_grp)]); %缩小图像
mosaic = imresize(mosaic,[widt,height],'nearest'); %放大图像
imshow(mosaic);