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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ImageStatistics.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
34
35#ifndef LSST_IP_DIFFIM_IMAGESTATISTICS_H
36#define LSST_IP_DIFFIM_IMAGESTATISTICS_H
37
38#include <cmath>
39#include <limits>
40#include <memory>
41
42#include "lsst/afw/image.h"
43#include "lsst/log/Log.h"
45
46namespace lsst {
47namespace ip {
48namespace diffim {
49
58 template <typename PixelT>
60 public:
63
65 _xsum(0.), _x2sum(0.), _npix(0), _bpMask(0) {
66
67 std::vector<std::string> detBadMaskPlanes = ps.getArray<std::string>("badMaskPlanes");
68 for (std::vector<std::string>::iterator mi = detBadMaskPlanes.begin();
69 mi != detBadMaskPlanes.end(); ++mi){
70
71 try {
72 _bpMask |= lsst::afw::image::Mask<lsst::afw::image::MaskPixel>::getPlaneBitMask(*mi);
73 } catch (pexExcept::Exception& e) {
74 LOGL_DEBUG("TRACE4.ip.diffim.ImageStatistics",
75 "Cannot update bad bit mask with %s", (*mi).c_str());
76 LOGL_DEBUG("TRACE5.ip.diffim.ImageStatistics",
77 e.what());
78 }
79 }
80 } ;
81 virtual ~ImageStatistics() {} ;
82
83 // Clear the accumulators
84 void reset() { _xsum = _x2sum = 0.; _npix = 0;}
85
86 // Work your magic
90
92 reset();
93 int y0, y1, x0, x1;
94 if (core == -1) {
95 y0 = 0;
96 y1 = image.getHeight();
97 x0 = 0;
98 x1 = image.getWidth();
99 }
100 else {
101 y0 = std::max(0, image.getHeight()/2 - core);
102 y1 = std::min(image.getHeight(), image.getHeight()/2 + core + 1);
103 x0 = std::max(0, image.getWidth()/2 - core);
104 x1 = std::min(image.getWidth(), image.getWidth()/2 + core + 1);
105 }
106
107 for (int y = y0; y != y1; ++y) {
108 for (x_iterator ptr = image.x_at(x0, y), end = image.x_at(x1, y);
109 ptr != end; ++ptr) {
110 if (!((*ptr).mask() & _bpMask)) {
111 double const ivar = 1. / (*ptr).variance();
112 if (std::isfinite(ivar)) {
113 _xsum += (*ptr).image() * sqrt(ivar);
114 _x2sum += (*ptr).image() * (*ptr).image() * ivar;
115 _npix += 1;
116 }
117 }
118 }
119 }
120 if ((!std::isfinite(_xsum)) || (!std::isfinite(_x2sum))) {
121 throw LSST_EXCEPT(pexExcept::Exception,
122 "Nan/Inf in ImageStatistics.apply");
123 }
124 }
125
126 void setBpMask(lsst::afw::image::MaskPixel bpMask) {_bpMask = bpMask;}
128
129 // Mean of distribution
130 double getMean() const {
131 return (_npix > 0) ? _xsum/_npix : std::numeric_limits<double>::quiet_NaN();
132 }
133 // Variance of distribution
134 double getVariance() const {
135 return (_npix > 1) ? (_x2sum/_npix - _xsum/_npix * _xsum/_npix) * _npix/(_npix-1.) :
137 }
138 // RMS
139 double getRms() const {
140 return sqrt(getVariance());
141 }
142 // Return the number of good pixels
143 int getNpix() const { return _npix; }
144
145 // Return Sdqa rating
147 if ( fabs(getMean()) > ps.getAsDouble("maximumFootprintResidualMean") ) return false;
148 if ( getRms() > ps.getAsDouble("maximumFootprintResidualStd") ) return false;
149 return true;
150 }
151
152 private:
153 double _xsum;
154 double _x2sum;
155 int _npix;
157 };
158
159
160}}} // end of namespace lsst::ip::diffim
161
162
163#endif
#define LSST_EXCEPT(type,...)
Create an exception with a given type.
Definition Exception.h:48
LSST DM logging module built on log4cxx.
#define LOGL_DEBUG(logger, message...)
Log a debug-level message using a varargs/printf style interface.
Definition Log.h:515
T begin(T... args)
A class to manipulate images, masks, and variance as a single object.
Definition MaskedImage.h:74
MaskedImageIterator< typename Image::x_iterator, typename Mask::x_iterator, typename Variance::x_iterator > x_iterator
An iterator to a row of a MaskedImage.
Class for storing generic metadata.
Definition PropertySet.h:67
std::vector< T > getArray(std::string const &name) const
Get the vector of values for a property name (possibly hierarchical).
double getAsDouble(std::string const &name) const
Get the last value for any arithmetic property name (possibly hierarchical).
void setBpMask(lsst::afw::image::MaskPixel bpMask)
ImageStatistics(lsst::daf::base::PropertySet const &ps)
void apply(lsst::afw::image::MaskedImage< PixelT > const &image, int core)
void apply(lsst::afw::image::MaskedImage< PixelT > const &image)
std::shared_ptr< ImageStatistics > Ptr
lsst::afw::image::MaskedImage< PixelT >::x_iterator x_iterator
bool evaluateQuality(lsst::daf::base::PropertySet const &ps)
lsst::afw::image::MaskPixel getBpMask()
T end(T... args)
T isfinite(T... args)
T max(T... args)
T min(T... args)
std::int32_t MaskPixel
default type for Masks and MaskedImage Masks
T quiet_NaN(T... args)