LSSTApplications  17.0+11,17.0+34,17.0+56,17.0+57,17.0+59,17.0+7,17.0-1-g377950a+33,17.0.1-1-g114240f+2,17.0.1-1-g4d4fbc4+28,17.0.1-1-g55520dc+49,17.0.1-1-g5f4ed7e+52,17.0.1-1-g6dd7d69+17,17.0.1-1-g8de6c91+11,17.0.1-1-gb9095d2+7,17.0.1-1-ge9fec5e+5,17.0.1-1-gf4e0155+55,17.0.1-1-gfc65f5f+50,17.0.1-1-gfc6fb1f+20,17.0.1-10-g87f9f3f+1,17.0.1-11-ge9de802+16,17.0.1-16-ga14f7d5c+4,17.0.1-17-gc79d625+1,17.0.1-17-gdae4c4a+8,17.0.1-2-g26618f5+29,17.0.1-2-g54f2ebc+9,17.0.1-2-gf403422+1,17.0.1-20-g2ca2f74+6,17.0.1-23-gf3eadeb7+1,17.0.1-3-g7e86b59+39,17.0.1-3-gb5ca14a,17.0.1-3-gd08d533+40,17.0.1-30-g596af8797,17.0.1-4-g59d126d+4,17.0.1-4-gc69c472+5,17.0.1-6-g5afd9b9+4,17.0.1-7-g35889ee+1,17.0.1-7-gc7c8782+18,17.0.1-9-gc4bbfb2+3,w.2019.22
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> {
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 
48  lsst::afw::math::KernelList getEigenKernels();
49  void processCandidate(lsst::afw::math::SpatialCellCandidate *candidate);
50  void subtractMean();
51  PTR(ImageT) returnMean() {return _mean;}
52  private:
54  PTR(ImageT) _mean;
55  };
56 
57  template<typename PixelT>
61  };
62 
63 }}}} // end of namespace lsst::ip::diffim::detail
64 
65 #endif
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
A base class for image defects.
Overrides the analyze method of base class afwImage::ImagePca.
Definition: KernelPca.h:24
boost::shared_ptr< ImageT > returnMean()
Definition: KernelPca.h:51
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
#define PTR(...)
Definition: base.h:41
Base class for candidate objects in a SpatialCell.
Definition: SpatialCell.h:70
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