lsst.meas.algorithms 22.0.1-35-gcb622b2d+cb018f3740
ImagePca.h
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1// -*- LSST-C++ -*-
2#if !defined(LSST_MEAS_ALGORITHMS_IMAGEPCA_H)
3#define LSST_MEAS_ALGORITHMS_IMAGEPCA_H
4
5/*
6 * LSST Data Management System
7 * Copyright 2008, 2009, 2010, 2012 LSST Corporation.
8 *
9 * This product includes software developed by the
10 * LSST Project (http://www.lsst.org/).
11 *
12 * This program is free software: you can redistribute it and/or modify
13 * it under the terms of the GNU General Public License as published by
14 * the Free Software Foundation, either version 3 of the License, or
15 * (at your option) any later version.
16 *
17 * This program is distributed in the hope that it will be useful,
18 * but WITHOUT ANY WARRANTY; without even the implied warranty of
19 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
20 * GNU General Public License for more details.
21 *
22 * You should have received a copy of the LSST License Statement and
23 * the GNU General Public License along with this program. If not,
24 * see <http://www.lsstcorp.org/LegalNotices/>.
25 */
26
34#include <memory>
35#include <utility>
36#include <vector>
37
38#include "lsst/afw.h"
39
40namespace lsst {
41namespace meas {
42namespace algorithms {
43
44template <typename ImageT>
45class PsfImagePca : public afw::image::ImagePca<ImageT> {
46 typedef typename afw::image::ImagePca<ImageT> Super;
47public:
49 explicit PsfImagePca(bool constantWeight = true, int border = 3)
50 : Super(constantWeight), _border(border) {}
51
55 virtual void analyze();
56
57private:
58 int const _border;
59};
60
61} // namespace algorithms
62} // namespace meas
63} // namespace lsst
64
65#endif
PsfImagePca(bool constantWeight=true, int border=3)
Ctor.
Definition: ImagePca.h:49
virtual void analyze()
Generate eigenimages that are normalised and background-subtracted.
Definition: ImagePca.cc:41