//static
void GradientsBase::binarizeImage(imageType_t const & currentImage_p, realType_t dBlackPoint_p,
weightImageType_t & rMaskImage_p)
{
#if 0
imageType_t image(currentImage_p);
image.ResetSelections();
image.Binarize(dBlackPoint_p);
// first channel
image.ResetSelections();
image.SelectChannel(0);
rMaskImage_p.ResetSelections();
rMaskImage_p.Assign(image);
// compress into one channel
for(int i=1;i<image.NumberOfChannels();++i){
image.SelectChannel(i);
rMaskImage_p.Max(image);
}
#else
int const nCols=currentImage_p.Width();
int const nRows=currentImage_p.Height();
int const nChannels=currentImage_p.NumberOfChannels();
rMaskImage_p.AllocateData(nCols,nRows);
rMaskImage_p.Black();
for(int channel=0;channel<nChannels;++channel){
for(int row=0;row<nRows;++row){
for(int col=0;col<nCols;++col){
if(currentImage_p.Pixel(col,row,channel)>dBlackPoint_p) {
rMaskImage_p.Pixel(col,row)=1.0;
}
}
}
}
#endif
}
//static
void GradientsMergeMosaic::erodeMaskConvolve(weightImageType_t & rMask_p,int32 shrinkCount_p)
{
int sideLength=1+2*shrinkCount_p;
int nElements=sideLength*sideLength;
SeparableFilter filter( sideLength,1.0/nElements);
SeparableConvolution convolve(filter);
rMask_p.ResetSelections();
convolve >> rMask_p;
rMask_p.Binarize(0.999999);
}
