Commit 88aa4a99 authored by siddharth's avatar siddharth

decolor module updated

update3

update4

update4

update5

added test data
parent 95db69f6
......@@ -288,7 +288,7 @@ public:
CV_EXPORTS_W Ptr<MergeRobertson> createMergeRobertson();
CV_EXPORTS_W void decolor(InputArray src, OutputArray grayscale, OutputArray color_boost);
CV_EXPORTS_W void decolor(InputArray src, OutputArray grayscale);
} // cv
......
......@@ -5,72 +5,162 @@
#include <vector>
#include <limits>
#include <iostream>
#include "contrast_preserve.hpp"
using namespace std;
using namespace cv;
int rounding(double);
int rounding(double a);
int rounding(double a)
{
return int(a + 0.5);
return int(a + 0.5);
}
void cv::decolor(InputArray _src, OutputArray _gray, OutputArray _boost)
void cv::decolor(InputArray _src, OutputArray _dst)
{
Mat I = _src.getMat();
_gray.create(I.size(), CV_8UC1);
Mat dst = _gray.getMat();
_boost.create(I.size(), CV_8UC3);
Mat color_boost = _boost.getMat();
if(!I.data )
{
cout << "Could not open or find the image" << endl ;
return;
}
if(I.channels() !=3)
{
cout << "Input Color Image" << endl;
return;
}
float sigma = .02;
int maxIter = 8;
int iterCount = 0;
int h = I.size().height;
int w = I.size().width;
Mat img;
Decolor obj;
double sizefactor;
if((h + w) > 900)
{
sizefactor = (double)900/(h+w);
resize(I,I,Size(rounding(h*sizefactor),rounding(w*sizefactor)));
img = Mat(I.size(),CV_32FC3);
I.convertTo(img,CV_32FC3,1.0/255.0);
}
else
{
img = Mat(I.size(),CV_32FC3);
I.convertTo(img,CV_32FC3,1.0/255.0);
}
obj.init();
vector <double> Cg;
vector < vector <double> > polyGrad;
vector < vector <double> > bc;
vector < vector < int > > comb;
vector <double> alf;
Mat I = _src.getMat();
_dst.create(I.size(), CV_8UC1);
Mat dst = _dst.getMat();
if(!I.data )
{
cout << "Could not open or find the image" << endl ;
return;
}
if(I.channels() !=3)
{
cout << "Input Color Image" << endl;
return;
}
float sigma = .02;
int maxIter = 8;
int iterCount = 0;
int h = I.size().height;
int w = I.size().width;
Decolor obj;
Mat img;
double sizefactor;
if((h + w) > 900)
{
sizefactor = (double)900/(h+w);
resize(I,I,Size(rounding(h*sizefactor),rounding(w*sizefactor)));
img = Mat(I.size(),CV_32FC3);
I.convertTo(img,CV_32FC3,1.0/255.0);
}
else
{
img = Mat(I.size(),CV_32FC3);
I.convertTo(img,CV_32FC3,1.0/255.0);
}
obj.init();
vector <double> Cg;
vector < vector <double> > polyGrad;
vector < vector <double> > bc;
vector < vector < int > > comb;
vector <double> alf;
obj.grad_system(img,polyGrad,Cg,comb);
obj.weak_order(img,alf);
Mat Mt = Mat(polyGrad.size(),polyGrad[0].size(), CV_32FC1);
obj.wei_update_matrix(polyGrad,Cg,Mt);
vector <double> wei;
obj.wei_inti(comb,wei);
//////////////////////////////// main loop starting ////////////////////////////////////////
while (iterCount < maxIter)
{
iterCount +=1;
vector <double> G_pos;
vector <double> G_neg;
vector <double> temp;
vector <double> temp1;
double val = 0.0;
for(unsigned int i=0;i< polyGrad[0].size();i++)
{
val = 0.0;
for(unsigned int j =0;j<polyGrad.size();j++)
val = val + (polyGrad[j][i] * wei[j]);
temp.push_back(val - Cg[i]);
temp1.push_back(val + Cg[i]);
}
double ans = 0.0;
double ans1 = 0.0;
for(unsigned int i =0;i<alf.size();i++)
{
ans = ((1 + alf[i])/2) * exp((-1.0 * 0.5 * pow(temp[i],2))/pow(sigma,2));
ans1 =((1 - alf[i])/2) * exp((-1.0 * 0.5 * pow(temp1[i],2))/pow(sigma,2));
G_pos.push_back(ans);
G_neg.push_back(ans1);
}
vector <double> EXPsum;
vector <double> EXPterm;
for(unsigned int i = 0;i<G_pos.size();i++)
EXPsum.push_back(G_pos[i]+G_neg[i]);
vector <double> temp2;
for(unsigned int i=0;i<EXPsum.size();i++)
{
if(EXPsum[i] == 0)
temp2.push_back(1.0);
else
temp2.push_back(0.0);
}
for(unsigned int i =0; i < G_pos.size();i++)
EXPterm.push_back((G_pos[i] - G_neg[i])/(EXPsum[i] + temp2[i]));
double val1 = 0.0;
vector <double> wei1;
for(unsigned int i=0;i< polyGrad.size();i++)
{
val1 = 0.0;
for(unsigned int j =0;j<polyGrad[0].size();j++)
{
val1 = val1 + (Mt.at<float>(i,j) * EXPterm[j]);
}
wei1.push_back(val1);
}
for(unsigned int i =0;i<wei.size();i++)
wei[i] = wei1[i];
G_pos.clear();
G_neg.clear();
temp.clear();
temp1.clear();
EXPsum.clear();
EXPterm.clear();
temp2.clear();
wei1.clear();
}
Mat Gray = Mat::zeros(img.size(),CV_32FC1);
obj.grayImContruct(wei, img, Gray);
Gray.convertTo(dst,CV_8UC1,255);
}
This diff is collapsed.
#include "test_precomp.hpp"
#include "opencv2/photo.hpp"
#include <string>
using namespace cv;
using namespace std;
#ifdef DUMP_RESULTS
# define DUMP(image, path) imwrite(path, image)
#else
# define DUMP(image, path)
#endif
TEST(Photo_Decolor, regression)
{
string folder = string(cvtest::TS::ptr()->get_data_path()) + "decolor/";
string original_path = folder + "color_image_1.png";
string expected_path = folder + "grayscale_image_1.png";
Mat original = imread(original_path, IMREAD_COLOR);
Mat expected = imread(expected_path, IMREAD_GRAYSCALE);
ASSERT_FALSE(original.empty()) << "Could not load input image " << original_path;
ASSERT_FALSE(expected.empty()) << "Could not load reference image " << expected_path;
Mat result;
decolor(original, result);
DUMP(result, expected_path + ".res.png");
ASSERT_EQ(0, norm(result != expected));
}
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