LSST Applications  21.0.0-172-gfb10e10a+18fedfabac,22.0.0+297cba6710,22.0.0+80564b0ff1,22.0.0+8d77f4f51a,22.0.0+a28f4c53b1,22.0.0+dcf3732eb2,22.0.1-1-g7d6de66+2a20fdde0d,22.0.1-1-g8e32f31+297cba6710,22.0.1-1-geca5380+7fa3b7d9b6,22.0.1-12-g44dc1dc+2a20fdde0d,22.0.1-15-g6a90155+515f58c32b,22.0.1-16-g9282f48+790f5f2caa,22.0.1-2-g92698f7+dcf3732eb2,22.0.1-2-ga9b0f51+7fa3b7d9b6,22.0.1-2-gd1925c9+bf4f0e694f,22.0.1-24-g1ad7a390+a9625a72a8,22.0.1-25-g5bf6245+3ad8ecd50b,22.0.1-25-gb120d7b+8b5510f75f,22.0.1-27-g97737f7+2a20fdde0d,22.0.1-32-gf62ce7b1+aa4237961e,22.0.1-4-g0b3f228+2a20fdde0d,22.0.1-4-g243d05b+871c1b8305,22.0.1-4-g3a563be+32dcf1063f,22.0.1-4-g44f2e3d+9e4ab0f4fa,22.0.1-42-gca6935d93+ba5e5ca3eb,22.0.1-5-g15c806e+85460ae5f3,22.0.1-5-g58711c4+611d128589,22.0.1-5-g75bb458+99c117b92f,22.0.1-6-g1c63a23+7fa3b7d9b6,22.0.1-6-g50866e6+84ff5a128b,22.0.1-6-g8d3140d+720564cf76,22.0.1-6-gd805d02+cc5644f571,22.0.1-8-ge5750ce+85460ae5f3,master-g6e05de7fdc+babf819c66,master-g99da0e417a+8d77f4f51a,w.2021.48
LSST Data Management Base Package
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> {
25  typedef typename lsst::afw::image::ImagePca<ImageT> Super;
26  public:
31 
33  explicit KernelPca(bool constantWeight=true) : Super(constantWeight) {}
34 
36  virtual void analyze();
37  };
38 
39  template<typename PixelT>
41  public:
44 
46  virtual ~KernelPcaVisitor() {};
47 
50  void subtractMean();
52  private:
55  };
56 
57  template<typename PixelT>
61  };
62 
63 }}}} // end of namespace lsst::ip::diffim::detail
64 
65 #endif
Base class for candidate objects in a SpatialCell.
Definition: SpatialCell.h:70
Overrides the analyze method of base class afwImage::ImagePca.
Definition: KernelPca.h:24
KernelPca(bool constantWeight=true)
Ctor.
Definition: KernelPca.h:33
virtual void analyze()
Generate eigenimages that are normalised.
Definition: KernelPca.cc:163
std::shared_ptr< KernelPca< ImageT > > Ptr
Definition: KernelPca.h:27
A class to run a PCA on all candidate kernels (represented as Images).
Definition: KernelPca.h:40
std::shared_ptr< KernelPcaVisitor< PixelT > > Ptr
Definition: KernelPca.h:43
void processCandidate(lsst::afw::math::SpatialCellCandidate *candidate)
Definition: KernelPca.cc:89
std::shared_ptr< ImageT > returnMean()
Definition: KernelPca.h:51
lsst::afw::math::KernelList getEigenKernels()
Definition: KernelPca.cc:65
KernelPcaVisitor(std::shared_ptr< KernelPca< ImageT > > imagePca)
Definition: KernelPca.cc:56
lsst::afw::image::Image< lsst::afw::math::Kernel::Pixel > ImageT
Definition: KernelPca.h:42
std::shared_ptr< KernelPcaVisitor< PixelT > > makeKernelPcaVisitor(std::shared_ptr< KernelPca< typename KernelPcaVisitor< PixelT >::ImageT > > imagePca)
Definition: KernelPca.h:59
A base class for image defects.