图像处理的有用资料

xlabel('原图像灰度级') ylabel('均衡化后灰度级')

%四，图像均衡化 PA=PS;

for i=0:255

PA(find(PS==i))=S2(i+1); %将各个像素归一化后的灰度值赋给这个像素 end

figure,imshow(PA) %显示均衡化后的图像 figure NO 6

title('均衡化后图像')

imwrite(PA,'PicEqual.bmp');

另一段Matlab的代码，来自 直方图均衡化－－图像增强 I=imread('LENA256.bmp');

imshow(I); figure; imhist(I);

[m,n]=size(I); hf = zeros(1,256); pa = zeros(1,256); I=double(I);

for i = 1:m for j = 1:n

hf(I(i,j)+1)=hf(I(i,j)+1)+1;%统计各灰度像素个数 end end

bmap=zeros(1,256);

for i=1:256 temp=0; for j=1:i

temp=temp+hf(j); end

bmap(i)=floor(temp*255/(m*n)); end

y=zeros(m,n);

for i=1:m

for j=1:n