LSST Applications 29.1.1,g0fba68d861+94d977d4f8,g1fd858c14a+0a42b1a450,g21d47ad084+bae5d1592d,g35bb328faa+fcb1d3bbc8,g36ff55ed5b+4036fd6440,g4e0f332c67+abab7ee1ee,g53246c7159+fcb1d3bbc8,g60b5630c4e+4036fd6440,g67b6fd64d1+31de10a2f7,g72a202582f+7a25662ef1,g78460c75b0+2f9a1b4bcd,g786e29fd12+cf7ec2a62a,g86c591e316+1a75853d69,g8852436030+8220ab3cb6,g88f4e072da+7005418d1d,g89139ef638+31de10a2f7,g8b8da53e10+8f7b08dc1c,g9125e01d80+fcb1d3bbc8,g989de1cb63+31de10a2f7,g9f1445be69+4036fd6440,g9f33ca652e+fcef3ba435,ga9baa6287d+4036fd6440,ga9e4eb89a6+a41a34c2ba,gabe3b4be73+1e0a283bba,gb0b61e0e8e+d456af7c26,gb1101e3267+f17a9d70ea,gb58c049af0+f03b321e39,gb89ab40317+31de10a2f7,gce29eb0867+05ed69485a,gcf25f946ba+8220ab3cb6,gd6cbbdb0b4+11317e7a17,gd9a9a58781+fcb1d3bbc8,gde0f65d7ad+b4f50ea554,ge278dab8ac+50e2446c94,ge410e46f29+31de10a2f7,ge80e9994a3+32bb9bc1c9,gf5e32f922b+fcb1d3bbc8,gf67bdafdda+31de10a2f7
LSST Data Management Base Package
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KernelPca.h
Go to the documentation of this file.
1// -*- lsst-c++ -*-
11
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> {
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>
56
57 template<typename PixelT>
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
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::vector< std::shared_ptr< Kernel > > KernelList
Definition Kernel.h:462
std::shared_ptr< KernelPcaVisitor< PixelT > > makeKernelPcaVisitor(std::shared_ptr< KernelPca< typename KernelPcaVisitor< PixelT >::ImageT > > imagePca)
Definition KernelPca.h:59