lsst.ip.diffim  22.0.1-23-gafe8ad1a+23f8ff8875
ImageStatistics.h
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2 
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24 
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 
46 namespace lsst {
47 namespace ip {
48 namespace 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 {
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
88  apply(image, -1);
89  }
90 
91  void apply(lsst::afw::image::MaskedImage<PixelT> const& image, int core) {
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))) {
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
int end
#define LSST_EXCEPT(type,...)
afw::table::Key< afw::table::Array< ImagePixelT > > image
#define LOGL_DEBUG(logger, message...)
int y
T begin(T... args)
static MaskPixelT getPlaneBitMask(const std::vector< std::string > &names)
std::vector< T > getArray(std::string const &name) const
double getAsDouble(std::string const &name) const
Class to calculate difference image statistics.
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()
virtual char const * what(void) const noexcept
T end(T... args)
T isfinite(T... args)
T max(T... args)
T min(T... args)
T quiet_NaN(T... args)