LSST Applications 30.0.7,g0e76e35be5+e8e946ae08,g19811a7679+138f7293ba,g199a45376c+5e234f8357,g1fd858c14a+2f48dbc4c4,g262e1987ae+fb36cac54d,g29ae962dfc+d9108a0941,g2c21b0017a+4f59a27f16,g31e44d4a5c+b0138be388,g33ac35c1f1+28b9f72785,g35bb328faa+b0138be388,g40c9b15c53+823ad735c1,g47891489e3+bcc48a0b46,g53246c7159+b0138be388,g64539dfbff+e8e946ae08,g67b6fd64d1+bcc48a0b46,g74acd417e5+422380537a,g76965917b2+a5ca99c4d9,g786e29fd12+796b79145d,g7aefaa3e3d+dc0c200193,g86b635cae8+734fe384f0,g87389fa792+d8b5378923,g89139ef638+bcc48a0b46,g8bbb235e95+3f4f7f9447,g8ea07a8fe4+78a4c88802,g9290983e33+ffdc83c6f7,g92c671f44c+e8e946ae08,gaa753fd333+03f406da14,gbf99507273+b0138be388,gc49b57b85e+8df26ee1f0,gca7fc764a6+bcc48a0b46,gd7ef33dd92+bcc48a0b46,gdab6d2f7ff+422380537a,ge1c02a5578+b0138be388,ge410e46f29+bcc48a0b46,ge80df9fc40+e6db5413d1,geaed405ab2+1de65a85c6,gf5dcc679e7+35a0ce2edd,gf5f1c85443+e8e946ae08
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