本文整理汇总了C++中DImage::threshold方法的典型用法代码示例。如果您正苦于以下问题：C++ DImage::threshold方法的具体用法？C++ DImage::threshold怎么用？C++ DImage::threshold使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类DImage的用法示例。
在下文中一共展示了DImage::threshold方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1:
void OpticalFlow::Coarse2FineFlowLevel(DImage &vx, DImage &vy, DImage &warpI2,const DImage &Im1, const DImage &Im2, double alpha, double ratio, int nLevels,
int nOuterFPIterations, int nInnerFPIterations, int nCGIterations)
{
// first build the pyramid of the two images
GaussianPyramid GPyramid1;
GaussianPyramid GPyramid2;
GaussianPyramid GFlow;
DImage flow;
AssembleFlow(vx,vy,flow);
if(IsDisplay)
cout<<"Constructing pyramid...";
GPyramid1.ConstructPyramidLevels(Im1,ratio,nLevels);
GPyramid2.ConstructPyramidLevels(Im2,ratio,nLevels);
GFlow.ConstructPyramidLevels(flow,ratio,nLevels);
flow= GFlow.Image(nLevels-1);
flow.Multiplywith(pow(ratio,nLevels-1));
DissembleFlow(flow,vx,vy);
if(IsDisplay)
cout<<"done!"<<endl;
// now iterate from the top level to the bottom
DImage Image1,Image2,WarpImage2;
// initialize noise
switch(noiseModel){
case GMixture:
GMPara.reset(Im1.nchannels()+2);
break;
case Lap:
LapPara.allocate(Im1.nchannels()+2);
for(int i = 0;i<LapPara.dim();i++)
LapPara[i] = 0.02;
break;
}
for(int k=GPyramid1.nlevels()-1;k>=0;k--)
{
if(IsDisplay)
cout<<"Pyramid level "<<k;
int width=GPyramid1.Image(k).width();
int height=GPyramid1.Image(k).height();
im2feature(Image1,GPyramid1.Image(k));
im2feature(Image2,GPyramid2.Image(k));
if(k<GPyramid1.nlevels()-1) // if at the top level
{
vx.imresize(width,height);
vx.Multiplywith(1/ratio);
vy.imresize(width,height);
vy.Multiplywith(1/ratio);
}
if(interpolation == Bilinear)
warpFL(WarpImage2,Image1,Image2,vx,vy);
else
Image2.warpImageBicubicRef(Image1,WarpImage2,vx,vy);
//SmoothFlowPDE(GPyramid1.Image(k),GPyramid2.Image(k),warpI2,vx,vy,alpha,nOuterFPIterations,nInnerFPIterations,nCGIterations);
//SmoothFlowPDE(Image1,Image2,WarpImage2,vx,vy,alpha*pow((1/ratio),k),nOuterFPIterations,nInnerFPIterations,nCGIterations,GMPara);
SmoothFlowPDE(Image1,Image2,WarpImage2,vx,vy,alpha,nOuterFPIterations,nInnerFPIterations,nCGIterations);
//GMPara.display();
if(IsDisplay)
cout<<endl;
}
//warpFL(warpI2,Im1,Im2,vx,vy);
Im2.warpImageBicubicRef(Im1,warpI2,vx,vy);
warpI2.threshold();
}