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LSST Data Management Base Package
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ImagePca.h
Go to the documentation of this file.
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 <memory>
36
37#include "lsst/pex/exceptions.h"
39
40namespace lsst {
41namespace afw {
42namespace image {
43
44template <typename ImageT>
45class ImagePca {
46public:
48
54 explicit ImagePca(bool constantWeight = true);
55 virtual ~ImagePca() = default;
56
61
70 void addImage(std::shared_ptr<ImageT> img, double flux = 0.0);
72 ImageList getImageList() const;
73
75 lsst::geom::Extent2I const getDimensions() const { return _dimensions; }
76
81 virtual void analyze();
95 virtual double updateBadPixels(unsigned long mask, int const ncomp);
96
98 std::vector<double> const& getEigenValues() const { return _eigenValues; }
100 ImageList const& getEigenImages() const { return _eigenImages; }
101
102private:
103 double getFlux(int i) const { return _fluxList[i]; }
104
105 ImageList _imageList; // image to analyze
106 std::vector<double> _fluxList; // fluxes of images
107 lsst::geom::Extent2I _dimensions; // width/height of images on _imageList
108
109 bool _constantWeight; // should all stars have the same weight?
110
111 std::vector<double> _eigenValues; // Eigen values
112 ImageList _eigenImages; // Eigen images
113};
114
125template <typename Image1T, typename Image2T>
126double innerProduct(Image1T const& lhs, Image2T const& rhs, int const border = 0);
127} // namespace image
128} // namespace afw
129} // namespace lsst
130
131#endif
afw::table::Key< afw::table::Array< MaskPixelT > > mask
ImagePca(ImagePca const &)
virtual double updateBadPixels(unsigned long mask, int const ncomp)
Update the bad pixels (i.e.
Definition ImagePca.cc:385
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 getImageList() const
Return the list of images being analyzed.
Definition ImagePca.cc:85
ImagePca(bool constantWeight=true)
ctor
Definition ImagePca.cc:46
lsst::geom::Extent2I const getDimensions() const
Return the dimension of the images being analyzed.
Definition ImagePca.h:75
ImagePca & operator=(ImagePca &&)
virtual ~ImagePca()=default
ImageList const & getEigenImages() const
Return Eigen images.
Definition ImagePca.h:100
std::shared_ptr< ImageT > getMean() const
Return the mean of the images in ImagePca's list.
Definition ImagePca.cc:90
std::vector< std::shared_ptr< ImageT > > ImageList
Definition ImagePca.h:47
std::vector< double > const & getEigenValues() const
Return Eigen values.
Definition ImagePca.h:98
ImagePca & operator=(ImagePca const &)
double innerProduct(Image1T const &lhs, Image2T const &rhs, int const border=0)
Calculate the inner product of two images.
Definition ImagePca.cc:413