LSSTApplications  18.1.0
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
#define PTR(...)
Definition: base.h:41
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
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