double Zncc::compute(image::Image const& im1, image::Image const& im2, float const* weightMatrix)
{
JFR_PRECOND(im1.depth() == im2.depth(), "The depth of both images is different");
switch(im1.depth())
{
// case CV_1U:
// if (weightMatrix == NULL)
// return computeTpl<CV_1U, bool,bool,0,1,true,false>(im1,im2);
// else
// return computeTpl<CV_1U, bool,bool,0,1,true,true>(im1,im2,weightMatrix);
case CV_8U:
if (weightMatrix == NULL)
return computeTpl<CV_8U, uint8_t,uint8_t,0,255,true,false>(im1,im2);
else
return computeTpl<CV_8U, uint8_t,uint8_t,0,255,true,true>(im1,im2,weightMatrix);
case CV_8S:
if (weightMatrix == NULL)
return computeTpl<CV_8S, int8_t,int8_t, -128,127,true,false>(im1,im2);
else
return computeTpl<CV_8S, int8_t,int8_t, -128,127,true,true>(im1,im2,weightMatrix);
case CV_16U:
if (weightMatrix == NULL)
return computeTpl<CV_16U, uint16_t,uint16_t, 0,65535,true,false>(im1,im2);
else
return computeTpl<CV_16U, uint16_t,uint16_t, 0,65535,true,true>(im1,im2,weightMatrix);
case CV_16S:
if (weightMatrix == NULL)
return computeTpl<CV_16S, int16_t,int16_t, -32768,32767,true,false>(im1,im2);
else
return computeTpl<CV_16S, int16_t,int16_t, -32768,32767,true,true>(im1,im2,weightMatrix);
case CV_32F:
if (weightMatrix == NULL) // bool and no borne because cannot use a float as a template parameter, and anyway would be useless here
return computeTpl<CV_32F, float,bool, 0,0,false,false>(im1,im2);
else
return computeTpl<CV_32F, float,bool, 0,0,false,true>(im1,im2,weightMatrix);
case CV_64F:
if (weightMatrix == NULL) // bool and no borne because cannot use a float as a template parameter, and anyway would be useless here
return computeTpl<CV_64F, double,bool, 0,0,false,false>(im1,im2);
else
return computeTpl<CV_64F, double,bool, 0,0,false,true>(im1,im2,weightMatrix);
default:
JFR_PRECOND(false, "Unknown image depth");
return FP_NAN;
}
}
double Zncc::compute8noborne(image::Image const& im1, image::Image const& im2)
{
JFR_PRECOND(im1.depth() == im2.depth(), "The depth of both images is different");
JFR_PRECOND(im1.depth() == CV_8U, "The depth of images must be CV_8U");
return computeTpl<CV_8U, uint8_t,uint8_t,0,255,false,false>(im1,im2);
}
double Zncc::computeTpl(image::Image const& im1_, image::Image const& im2_, float const* weightMatrix)
{
// preconds
JFR_PRECOND( im1_.depth() == depth, "Image 1 depth is different from the template parameter" );
JFR_PRECOND( im2_.depth() == depth, "Image 2 depth is different from the template parameter" );
JFR_PRECOND( im1_.channels() == im2_.channels(), "The channels number of both images are different" );
JFR_PRECOND( !useWeightMatrix || weightMatrix, "Template parameter tells to use weightMatrix but no one is given" );
// adjust ROIs to match size, assuming that it is reduced when set out of the image
// FIXME weightMatrix should be a cv::Mat in order to have a ROI too, and to adjust it
cv::Size size1; cv::Rect roi1 = im1_.getROI(size1);
cv::Size size2; cv::Rect roi2 = im2_.getROI(size2);
int dw = roi1.width - roi2.width, dh = roi1.height - roi2.height;
if (dw != 0)
{
cv::Rect &roiA = (dw<0 ? roi1 : roi2), &roiB = (dw<0 ? roi2 : roi1);
cv::Size &sizeA = (dw<0 ? size1 : size2);
if (roiA.x == 0) { roiB.x += dw; roiB.width -= dw; } else
if (roiA.x+roiA.width == sizeA.width) { roiB.width -= dw; }
}
if (dh != 0)
{
cv::Rect &roiA = (dh<0 ? roi1 : roi2), &roiB = (dh<0 ? roi2 : roi1);
cv::Size &sizeA = (dh<0 ? size1 : size2);
if (roiA.y == 0) { roiB.y += dh; roiB.height -= dh; } else
if (roiA.y+roiA.height == sizeA.height) { roiB.height -= dh; }
}
image::Image im1(im1_); im1.setROI(roi1);
image::Image im2(im2_); im2.setROI(roi2);
// some variables initialization
int height = im1.height();
int width = im1.width();
int step1 = im1.step1() - width;
int step2 = im2.step1() - width;
double mean1 = 0., mean2 = 0.;
double sigma1 = 0., sigma2 = 0., sigma12 = 0.;
double zncc_sum = 0.;
double zncc_count = 0.;
double zncc_total = 0.;
worktype const* im1ptr = reinterpret_cast<worktype const*>(im1.data());
worktype const* im2ptr = reinterpret_cast<worktype const*>(im2.data());
float const* wptr = weightMatrix;
double w;
// start the loops
for(int i = 0; i < height; ++i)
{
for(int j = 0; j < width; ++j)
{
worktype im1v = *(im1ptr++);
worktype im2v = *(im2ptr++);
if (useWeightMatrix) w = *(wptr++); else w = 1;
if (useBornes) zncc_total += w;
//std::cout << "will correl ? " << useBornes << ", " << (int)im1v << ", " << (int)im2v << std::endl;
if (!useBornes || (im1v != borneinf && im1v != bornesup && im2v != borneinf && im2v != bornesup))
{
//std::cout << "correl one pixel" << std::endl;
#if 0
double im1vw, im2vw;
if (useWeightMatrix)
{ im1vw = im1v * w; im2vw = im2v * w; } else
{ im1vw = im1v; im2vw = im2v; }
zncc_count += w;
mean1 += im1vw;
mean2 += im2vw;
sigma1 += im1v * im1vw;
sigma2 += im2v * im2vw;
zncc_sum += im1v * im2vw;
#else
zncc_count += w;
mean1 += im1v * w;
mean2 += im2v * w;
sigma1 += im1v * im1v * w;
sigma2 += im2v * im2v * w;
zncc_sum += im1v * im2v * w;
#endif
}
}
im1ptr += step1;
im2ptr += step2;
}
if (useBornes) if (zncc_count / zncc_total < 0.75)
{ /*std::cout << "zncc failed: " << zncc_count << "," << zncc_total << std::endl;*/ return -3; }
// finish
mean1 /= zncc_count;
mean2 /= zncc_count;
sigma1 = sigma1/zncc_count - mean1*mean1;
sigma2 = sigma2/zncc_count - mean2*mean2;
sigma1 = sigma1 > 0.0 ? sqrt(sigma1) : 0.0; // test for numerical rounding errors to avoid nan
sigma2 = sigma2 > 0.0 ? sqrt(sigma2) : 0.0;
sigma12 = sigma1*sigma2;
// std::cout << "normal: zncc_sum " << zncc_sum << ", count " << zncc_count << ", mean12 " << mean1*mean2 << ", sigma12 " << sigma1*sigma2 << std::endl;
zncc_sum = (sigma12 < 1e-6 ? -1 : (zncc_sum/zncc_count - mean1*mean2) / sigma12);
JFR_ASSERT(zncc_sum >= -1.01, "");
return zncc_sum;
}
