LSSTApplications  11.0-13-gbb96280,12.1+18,12.1+7,12.1-1-g14f38d3+72,12.1-1-g16c0db7+5,12.1-1-g5961e7a+84,12.1-1-ge22e12b+23,12.1-11-g06625e2+4,12.1-11-g0d7f63b+4,12.1-19-gd507bfc,12.1-2-g7dda0ab+38,12.1-2-gc0bc6ab+81,12.1-21-g6ffe579+2,12.1-21-gbdb6c2a+4,12.1-24-g941c398+5,12.1-3-g57f6835+7,12.1-3-gf0736f3,12.1-37-g3ddd237,12.1-4-gf46015e+5,12.1-5-g06c326c+20,12.1-5-g648ee80+3,12.1-5-gc2189d7+4,12.1-6-ga608fc0+1,12.1-7-g3349e2a+5,12.1-7-gfd75620+9,12.1-9-g577b946+5,12.1-9-gc4df26a+10
LSSTDataManagementBasePackage
KernelPca.h
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1 // -*- lsst-c++ -*-
12 #ifndef LSST_IP_DIFFIM_KERNELPCA_H
13 #define LSST_IP_DIFFIM_KERNELPCA_H
14 
15 #include "lsst/afw/image.h"
16 #include "lsst/afw/math.h"
17 
18 namespace lsst {
19 namespace ip {
20 namespace diffim {
21 namespace detail {
22 
23  template <typename ImageT>
24  class KernelPca : public lsst::afw::image::ImagePca<ImageT> {
26  public:
27  typedef typename std::shared_ptr<KernelPca<ImageT> > Ptr;
31 
33  explicit KernelPca(bool constantWeight=true) : Super(constantWeight) {}
34 
36  virtual void analyze();
37  };
38 
39  template<typename PixelT>
41  public:
43  typedef std::shared_ptr<KernelPcaVisitor<PixelT> > Ptr;
44 
45  KernelPcaVisitor(std::shared_ptr<KernelPca<ImageT> > imagePca);
46  virtual ~KernelPcaVisitor() {};
47 
50  void subtractMean();
51  PTR(ImageT) returnMean() {return _mean;}
52  private:
53  std::shared_ptr<KernelPca<ImageT> > _imagePca;
55  };
56 
57  template<typename PixelT>
58  std::shared_ptr<KernelPcaVisitor<PixelT> >
59  makeKernelPcaVisitor(std::shared_ptr<KernelPca<typename KernelPcaVisitor<PixelT>::ImageT> > imagePca) {
60  return typename KernelPcaVisitor<PixelT>::Ptr(new KernelPcaVisitor<PixelT>(imagePca));
61  };
62 
63 }}}} // end of namespace lsst::ip::diffim::detail
64 
65 #endif
An include file to include the public header files for lsst::afw::math.
KernelPcaVisitor(std::shared_ptr< KernelPca< ImageT > > imagePca)
Definition: KernelPca.cc:56
std::shared_ptr< KernelPcaVisitor< PixelT > > Ptr
Definition: KernelPca.h:43
A class to run a PCA on all candidate kernels (represented as Images).
Definition: KernelPca.h:40
void processCandidate(lsst::afw::math::SpatialCellCandidate *candidate)
Definition: KernelPca.cc:89
lsst::afw::math::KernelList getEigenKernels()
Definition: KernelPca.cc:65
boost::shared_ptr< ImageT > _mean
Mean image calculated before Pca.
Definition: KernelPca.h:54
An include file to include the header files for lsst::afw::image.
Overrides the analyze method of base class afwImage::ImagePca.
Definition: KernelPca.h:24
boost::shared_ptr< ImageT > returnMean()
Definition: KernelPca.h:51
lsst::afw::image::ImagePca< ImageT > Super
Base class.
Definition: KernelPca.h:25
#define PTR(...)
Definition: base.h:41
std::shared_ptr< KernelPca< ImageT > > Ptr
Definition: KernelPca.h:27
std::shared_ptr< KernelPcaVisitor< PixelT > > makeKernelPcaVisitor(std::shared_ptr< KernelPca< typename KernelPcaVisitor< PixelT >::ImageT > > imagePca)
Definition: KernelPca.h:59
KernelPca(bool constantWeight=true)
Ctor.
Definition: KernelPca.h:33
Base class for candidate objects in a SpatialCell.
Definition: SpatialCell.h:74
lsst::afw::image::Image< lsst::afw::math::Kernel::Pixel > ImageT
Definition: KernelPca.h:42
virtual void analyze()
Generate eigenimages that are normalised.
Definition: KernelPca.cc:163
std::vector< boost::shared_ptr< Kernel > > KernelList
Definition: Kernel.h:539
std::shared_ptr< KernelPca< ImageT > > _imagePca
Structure to fill with images.
Definition: KernelPca.h:53