LSSTApplications  1.1.2+25,10.0+13,10.0+132,10.0+133,10.0+224,10.0+41,10.0+8,10.0-1-g0f53050+14,10.0-1-g4b7b172+19,10.0-1-g61a5bae+98,10.0-1-g7408a83+3,10.0-1-gc1e0f5a+19,10.0-1-gdb4482e+14,10.0-11-g3947115+2,10.0-12-g8719d8b+2,10.0-15-ga3f480f+1,10.0-2-g4f67435,10.0-2-gcb4bc6c+26,10.0-28-gf7f57a9+1,10.0-3-g1bbe32c+14,10.0-3-g5b46d21,10.0-4-g027f45f+5,10.0-4-g86f66b5+2,10.0-4-gc4fccf3+24,10.0-40-g4349866+2,10.0-5-g766159b,10.0-5-gca2295e+25,10.0-6-g462a451+1
LSSTDataManagementBasePackage
Classes | Namespaces | Typedefs | Enumerations | Functions
Statistics.h File Reference

Compute Image Statistics. More...

#include <algorithm>
#include <cassert>
#include <limits>
#include "boost/iterator/iterator_adaptor.hpp"
#include "boost/tuple/tuple.hpp"
#include "boost/shared_ptr.hpp"
#include "lsst/afw/image/MaskedImage.h"
#include "lsst/afw/math/MaskedVector.h"

Go to the source code of this file.

Classes

class  lsst.afw.image::Image< T >
 A class to represent a 2-dimensional array of pixels. More...
 
class  lsst.afw.image::MaskedImage< ImagePixelT, MaskPixelT, VariancePixelT >
 A class to manipulate images, masks, and variance as a single object. More...
 
class  lsst.afw.math::MaskedVector< EntryT >
 
class  lsst.afw.math::StatisticsControl
 Pass parameters to a Statistics objectA class to pass parameters which control how the stats are calculated. More...
 
class  lsst.afw.math::Statistics
 
class  lsst.afw.math::infinite_iterator< ValueT >
 This iterator will never increment. It is returned by row_begin() in the MaskImposter class (below) to allow phony mask pixels to be iterated over for non-mask images within Statistics. More...
 
class  lsst.afw.math::MaskImposter< ValueT >
 A Mask wrapper to provide an infinite_iterator for Mask::row_begin(). This allows a fake Mask to be passed in to Statistics with a regular (non-masked) Image. More...
 
class  lsst.afw.math::ImageImposter< ValueT >
 A vector wrapper to provide a vector with the necessary methods and typedefs to be processed by Statistics as though it were an Image. More...
 

Namespaces

 lsst
 < multiple inclusion guard macro
 
 lsst.afw
 
 lsst.afw.image
 
 lsst.afw.math
 

Typedefs

typedef
lsst::afw::image::VariancePixel 
lsst.afw.math::WeightPixel
 

Enumerations

enum  lsst.afw.math::Property {
  lsst.afw.math::NOTHING = 0x0, lsst.afw.math::ERRORS = 0x1, lsst.afw.math::NPOINT = 0x2, lsst.afw.math::MEAN = 0x4,
  lsst.afw.math::STDEV = 0x8, lsst.afw.math::VARIANCE = 0x10, lsst.afw.math::MEDIAN = 0x20, lsst.afw.math::IQRANGE = 0x40,
  lsst.afw.math::MEANCLIP = 0x80, lsst.afw.math::STDEVCLIP = 0x100, lsst.afw.math::VARIANCECLIP = 0x200, lsst.afw.math::MIN = 0x400,
  lsst.afw.math::MAX = 0x800, lsst.afw.math::SUM = 0x1000, lsst.afw.math::MEANSQUARE = 0x2000, lsst.afw.math::ORMASK = 0x4000
}
 control what is calculated More...
 

Functions

Property lsst.afw.math::stringToStatisticsProperty (std::string const property)
 Conversion function to switch a string to a Property (see Statistics.h) More...
 

Detailed Description

Compute Image Statistics.

Author
Steve Bickerton
Note
The Statistics class itself can only handle lsst::afw::image::MaskedImage() types. The philosophy has been to handle other types by making them look like lsst::afw::image::MaskedImage() and reusing that code. Users should have no need to instantiate a Statistics object directly, but should use the overloaded makeStatistics() factory functions.

Definition in file Statistics.h.