Hello everyone,
I want to write a program with opencv by c++ in the visual studio.
My code is following matlab code:
close all
clear all
clc
%reading and converting the image
inImage=imread('pic.jpg');
inImage=rgb2gray(inImage);
inImageD=double(inImage);
[U,S,V]=svd(inImageD);
% Using different number of singular values (diagonal of S) to compress and
% reconstruct the image
dispEr = [];
numSVals = [];
for N=5:25:300
% store the singular values in a temporary var
C = S;
% discard the diagonal values not required for compression
C(N+1:end,:)=0;
C(:,N+1:end)=0;
% Construct an Image using the selected singular values
D=U*C*V';
% display and compute error
figure;
buffer = sprintf('Image output using %d singular values', N)
imshow(uint8(D));
title(buffer);
error=sum(sum((inImageD-D).^2));
% store vals for display
dispEr = [dispEr; error];
numSVals = [numSVals; N];
end
What's your opinion to do this? I want to save image in a text file and retrieve it from file into the Mat array. I've written this part as follow:
Mat image;
FileStorage read_file("pic_file.txt", FileStorage::READ);
read_file["pic"] >> image;
read_file.release();
Mat P;
image.convertTo(P, CV_32FC3,1.0/255);
SVD svda(P); //or SVD::compute(P,W,U,V);
But I have problem with SVD function and it doesn't work. Is there anything to do for computing SVD compression of an image?
Thank You so much.
Vahids.