亮通道图像验证.zip

%% %图像读取 f1 = imread('E:\大三上课程\数字图像处理\1大作业\亮通道图像验证\验证图片集\1.jfif');%读取原始图像 figure(1),imshow(f1),title('验证图像'); %saveas(1,'.\new_img\task4\原图像添加均匀噪声.jpg'); %% %获取图像亮通道数值 [h0,w0,d0] = size(f1) f1 = double(f1); %[h,w] = size(f1); filter_size = 9;%设定窗口大小 f_size = (filter_size-1)/2; imsize = max(h0/filter_size+1,w0/filter_size+1); f2 = double(f1); R = f1(:,:,1);%获取三个通道的颜色参数 G = f1(:,:,2); B = f1(:,:,3); %[h,w,d] = size(R) R = imresize(R,[imsize*filter_size imsize*filter_size]); G = imresize(G,[imsize*filter_size imsize*filter_size]); B = imresize(B,[imsize*filter_size imsize*filter_size]); f1 = imresize(f1,[imsize*filter_size imsize*filter_size]); %temp_R=(R(f_size:1:2*f_size,f_size:1:2*f_size)) %f1 = padarray(f1,[f_size,f_size],'symmetric');%图像边缘进行镜像填充 [h,w] = size(R)%获取填充后图像的长宽 %% % %对图像进行取最大值处理 for i = 1 :filter_size-1: h-filter_size for j = 1 :filter_size-1: w-filter_size temp_R=R(i:i+filter_size,j:j+filter_size); temp1_R = max(max(temp_R(:))); temp_G=G(i:1:i+filter_size,j:1:j+filter_size); temp1_G = max(max(temp_G(:))); temp_B=B(i:1:i+filter_size,j:1:j+filter_size); temp1_B = max(max(temp_B(:))); temp1 = max(temp1_R,temp1_G); temp1 = max(temp1,temp1_B); for i1 = 1:filter_size for j1 = 1:filter_size f1(i+i1-1,j+j1-1) = temp1; end end end end f1=uint8(f1); %转换成unit8进行显示和存储 f1 = rgb2gray(f1); % 图片输出以及保存 figure(2),imshow(f1);grid on; title( '图像亮度最大值图像')