LSST Applications 26.0.0,g0265f82a02+6660c170cc,g07994bdeae+30b05a742e,g0a0026dc87+17526d298f,g0a60f58ba1+17526d298f,g0e4bf8285c+96dd2c2ea9,g0ecae5effc+c266a536c8,g1e7d6db67d+6f7cb1f4bb,g26482f50c6+6346c0633c,g2bbee38e9b+6660c170cc,g2cc88a2952+0a4e78cd49,g3273194fdb+f6908454ef,g337abbeb29+6660c170cc,g337c41fc51+9a8f8f0815,g37c6e7c3d5+7bbafe9d37,g44018dc512+6660c170cc,g4a941329ef+4f7594a38e,g4c90b7bd52+5145c320d2,g58be5f913a+bea990ba40,g635b316a6c+8d6b3a3e56,g67924a670a+bfead8c487,g6ae5381d9b+81bc2a20b4,g93c4d6e787+26b17396bd,g98cecbdb62+ed2cb6d659,g98ffbb4407+81bc2a20b4,g9ddcbc5298+7f7571301f,ga1e77700b3+99e9273977,gae46bcf261+6660c170cc,gb2715bf1a1+17526d298f,gc86a011abf+17526d298f,gcf0d15dbbd+96dd2c2ea9,gdaeeff99f8+0d8dbea60f,gdb4ec4c597+6660c170cc,ge23793e450+96dd2c2ea9,gf041782ebf+171108ac67
LSST Data Management Base Package
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KernelPca.h
Go to the documentation of this file.
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
A class to represent a 2-dimensional array of pixels.
Definition Image.h:51
void addImage(std::shared_ptr< ImageT > img, double flux=0.0)
Add an image to the set to be analyzed.
Definition ImagePca.cc:64
ImageList const & getEigenImages() const
Return Eigen images.
Definition ImagePca.h:100
std::vector< double > const & getEigenValues() const
Return Eigen values.
Definition ImagePca.h:98
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
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