Extract each frame from the YUV video sequence and convert it into an rgb image|matlab

function []=yuv2rgb(frames,path,out_path)%帧数 输入路径  输出路径   
%yuv转RGB格式
%fid = fopen('.yuv','r');
fid = fopen(path,'r');
row=1024;col=768;
%frames=200; % total
Y=zeros(row,col,frames);
U=zeros(row/2,col/2,frames);
V=zeros(row/2,col/2,frames);
UU=zeros(row,col,frames);%隔行扫描时的变量
VV=zeros(row,col,frames);

for frame=1:frames
[Y(:,:,frame),count] = fread(fid,[row,col],'uchar');
[U(:,:,frame),count1]=fread(fid,[row/2,col/2],'uchar');
[V(:,:,frame),count2]=fread(fid,[row/2,col/2],'uchar');

UU(1:2:row-1,1:2:col-1,frame)=U(:,:,frame);%奇奇
UU(1:2:row-1,2:2:col,frame)=U(:,:,frame);%奇偶
UU(2:2:row,1:2:col-1,frame)=U(:,:,frame);%偶奇
UU(2:2:row,2:2:col,frame)=U(:,:,frame);%偶偶

VV(1:2:row-1,1:2:col-1,frame)=V(:,:,frame);
VV(1:2:row-1,2:2:col,frame)=V(:,:,frame);
VV(2:2:row,1:2:col-1,frame)=V(:,:,frame);
VV(2:2:row,2:2:col,frame)=V(:,:,frame);

images(:,:,1)=Y(:,:,frame)';
images(:,:,2)=UU(:,:,frame)';
images(:,:,3)=VV(:,:,frame)';

images=ycbcr2rgb(uint8(images));

% R = Y + 1.140 * (VV-128 );
% G = Y + 0.395 * (UU-128 ) - 0.581 *(VV-128);
% B = Y + 2.032 *(UU-128);
% 
% for i=1:row %针对0到255
% for j=1:col
% if R(i,j,frame)<0
% R(i,j,frame)=0;
% end
% if R(i,j,frame)>255
% R(i,j,frame)=255;
% end
% if G(i,j,frame)<0
% G(i,j,frame)=0;
% end
% if G(i,j,frame)>255
% G(i,j,frame)=255;
% end
% if B(i,j,frame)<0
% B(i,j,frame)=0;
% end
% if B(i,j,frame)>255
% B(i,j,frame)=255;
% end
% end
% end
% R=R/255;G=G/255;B=B/255;
% images(:,:,1)=R(:,:,frame)';
% images(:,:,2)=G(:,:,frame)';
% images(:,:,3)=B(:,:,frame)';
% figure,imshow(images);
imwrite(images,[out_path,num2str(frame,'%02d'), '.jpg']);
end