lsst.ip.diffim g5706f010af+b0db72719b
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
18namespace lsst {
19namespace ip {
20namespace diffim {
21namespace detail {
22
23 template <typename ImageT>
24 class KernelPca : public lsst::afw::image::ImagePca<ImageT> {
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
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