LSSTApplications  19.0.0-16-gf391218+0d4bdb7e99,20.0.0-11-g973f35b+fc3da11c03,20.0.0-18-g2b8c1f54+f8fc1aa9fb,20.0.0-2-g103fe59+1a747c5cf5,20.0.0-2-g1367e85+b8fe48c8a0,20.0.0-2-g7f82c8f+cb8155b8e8,20.0.0-2-g8dde007+aaa4e16c0f,20.0.0-2-ga326454+cb8155b8e8,20.0.0-2-ga51b5d4+6432c6fd8d,20.0.0-2-gde069b7+44dbdb3492,20.0.0-2-gfc62afb+b8fe48c8a0,20.0.0-20-g54e6697de+ce03d725a7,20.0.0-22-g54e2caa+e2d4a7822a,20.0.0-25-g5eafb0f+f4a3e7a5aa,20.0.0-28-g73474ed+96410ea1f8,20.0.0-3-g5242d73+b8fe48c8a0,20.0.0-3-ga63a54e+af87b3138b,20.0.0-30-g597c966+cf8eea114e,20.0.0-4-g2909d54+37efb4748c,20.0.0-4-g35ce6d5+f4a3e7a5aa,20.0.0-4-g45278ab+d529cf1a41,20.0.0-4-g4bc9b9f+a7376eab67,20.0.0-4-g66bcc37+f4a3e7a5aa,20.0.0-4-ge17e5af+b8fe48c8a0,20.0.0-4-gecfae73+77584f1b13,20.0.0-4-gf910f65+37efb4748c,20.0.0-46-gd70f10e1+f17cbaf3d1,20.0.0-5-g8f08a60+4fac22bdb7,20.0.0-5-ga885a99+c1363b8d99,20.0.0-5-gc738bc1+47717dd73f,20.0.0-5-gfbfe500+d529cf1a41,20.0.0-6-gd222c45+88b21af515,20.0.0-6-gdef485e+46cd8289a4,20.0.0-7-gaa929c8+96410ea1f8,20.0.0-74-g0218c7a+939693069d,20.0.0-8-g5dd23de+1834535a4e,20.0.0-8-ge712728+fb4ad641b9,20.0.0-9-g5051ac2+d529cf1a41,w.2020.48-1-gdf601d2
LSSTDataManagementBasePackage
ImagePca.h
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1 // -*- lsst-c++ -*-
2 
3 /*
4  * LSST Data Management System
5  * Copyright 2008, 2009, 2010 LSST Corporation.
6  *
7  * This product includes software developed by the
8  * LSST Project (http://www.lsst.org/).
9  *
10  * This program is free software: you can redistribute it and/or modify
11  * it under the terms of the GNU General Public License as published by
12  * the Free Software Foundation, either version 3 of the License, or
13  * (at your option) any later version.
14  *
15  * This program is distributed in the hope that it will be useful,
16  * but WITHOUT ANY WARRANTY; without even the implied warranty of
17  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18  * GNU General Public License for more details.
19  *
20  * You should have received a copy of the LSST License Statement and
21  * the GNU General Public License along with this program. If not,
22  * see <http://www.lsstcorp.org/LegalNotices/>.
23  */
24 
25 /*
26  * Support for PCA analysis of 2-D images
27  */
28 #ifndef LSST_AFW_IMAGE_IMAGEPCA_H
29 #define LSST_AFW_IMAGE_IMAGEPCA_H
30 
31 #include <vector>
32 #include <string>
33 #include <utility>
34 
35 #include "boost/mpl/bool.hpp"
36 #include <memory>
37 
38 #include "lsst/pex/exceptions.h"
40 
41 namespace lsst {
42 namespace afw {
43 namespace image {
44 
45 template <typename ImageT>
46 class ImagePca {
47 public:
49 
55  explicit ImagePca(bool constantWeight = true);
56  virtual ~ImagePca() = default;
57 
58  ImagePca(ImagePca const&);
62 
71  void addImage(std::shared_ptr<ImageT> img, double flux = 0.0);
73  ImageList getImageList() const;
74 
76  lsst::geom::Extent2I const getDimensions() const { return _dimensions; }
77 
82  virtual void analyze();
96  virtual double updateBadPixels(unsigned long mask, int const ncomp);
97 
99  std::vector<double> const& getEigenValues() const { return _eigenValues; }
101  ImageList const& getEigenImages() const { return _eigenImages; }
102 
103 private:
104  double getFlux(int i) const { return _fluxList[i]; }
105 
106  ImageList _imageList; // image to analyze
107  std::vector<double> _fluxList; // fluxes of images
108  lsst::geom::Extent2I _dimensions; // width/height of images on _imageList
109 
110  bool _constantWeight; // should all stars have the same weight?
111 
112  std::vector<double> _eigenValues; // Eigen values
113  ImageList _eigenImages; // Eigen images
114 };
115 
126 template <typename Image1T, typename Image2T>
127 double innerProduct(Image1T const& lhs, Image2T const& rhs, int const border = 0);
128 } // namespace image
129 } // namespace afw
130 } // namespace lsst
131 
132 #endif
lsst::afw::image
Backwards-compatibility support for depersisting the old Calib (FluxMag0/FluxMag0Err) objects.
Definition: imageAlgorithm.dox:1
exceptions.h
lsst::afw::image::ImagePca::getEigenValues
std::vector< double > const & getEigenValues() const
Return Eigen values.
Definition: ImagePca.h:99
std::shared_ptr< ImageT >
lsst::afw::image::ImagePca::addImage
void addImage(std::shared_ptr< ImageT > img, double flux=0.0)
Add an image to the set to be analyzed.
Definition: ImagePca.cc:65
MaskedImage.h
std::vector
STL class.
lsst::afw::image::ImagePca::ImagePca
ImagePca(ImagePca &&)
lsst::afw
Definition: imageAlgorithm.dox:1
lsst::afw::image::ImagePca::getMean
std::shared_ptr< ImageT > getMean() const
Return the mean of the images in ImagePca's list.
Definition: ImagePca.cc:91
mask
afw::table::Key< afw::table::Array< MaskPixelT > > mask
Definition: HeavyFootprint.cc:217
lsst::afw::image::innerProduct
double innerProduct(Image1T const &lhs, Image2T const &rhs, int const border=0)
Calculate the inner product of two images.
Definition: ImagePca.cc:415
lsst::afw::image::ImagePca::getImageList
ImageList getImageList() const
Return the list of images being analyzed.
Definition: ImagePca.cc:86
lsst::afw::image::ImagePca::getDimensions
lsst::geom::Extent2I const getDimensions() const
Return the dimension of the images being analyzed.
Definition: ImagePca.h:76
lsst::afw::image::ImagePca::analyze
virtual void analyze()
Definition: ImagePca.cc:124
lsst::afw::image::ImagePca::~ImagePca
virtual ~ImagePca()=default
lsst
A base class for image defects.
Definition: imageAlgorithm.dox:1
lsst.pipe.tasks.insertFakes.flux
flux
Definition: insertFakes.py:455
lsst::afw::image::ImagePca::operator=
ImagePca & operator=(ImagePca &&)
lsst::afw::image::ImagePca::ImagePca
ImagePca(bool constantWeight=true)
ctor
Definition: ImagePca.cc:47
lsst::afw::image::ImagePca::ImagePca
ImagePca(ImagePca const &)
lsst::afw::image::ImagePca::operator=
ImagePca & operator=(ImagePca const &)
lsst::afw::image::ImagePca::getEigenImages
ImageList const & getEigenImages() const
Return Eigen images.
Definition: ImagePca.h:101
lsst::afw::image::ImagePca
Definition: ImagePca.h:46
lsst::afw::image::ImagePca::ImageList
std::vector< std::shared_ptr< ImageT > > ImageList
Definition: ImagePca.h:48
lsst::afw::image::ImagePca::updateBadPixels
virtual double updateBadPixels(unsigned long mask, int const ncomp)
Update the bad pixels (i.e.
Definition: ImagePca.cc:387
lsst::geom::Extent< int, 2 >