lsst::ip::diffim::detail::KernelPca< ImageT > Class Template Reference

Overrides the analyze method of base class afwImage::ImagePca. More...

#include <KernelPca.h>

Inheritance diagram for lsst::ip::diffim::detail::KernelPca< ImageT >:

Public Types
typedef boost::shared_ptr < KernelPca< ImageT > >	Ptr
Public Types inherited from lsst::afw::image::ImagePca< ImageT >
typedef boost::shared_ptr< ImageT >	Ptr
typedef boost::shared_ptr < const ImageT >	ConstPtr
typedef std::vector< typename ImageT::Ptr >	ImageList

Public Member Functions
	KernelPca (bool constantWeight=true)
	Ctor. More...
virtual void	analyze ()
	Generate eigenimages that are normalised. More...
Public Member Functions inherited from lsst::afw::image::ImagePca< ImageT >
	ImagePca (bool constantWeight=true)
	ctor More...
virtual	~ImagePca ()
void	addImage (typename ImageT::Ptr img, double flux=0.0)
ImageList	getImageList () const
	Return the list of images being analyzed. More...
geom::Extent2I const	getDimensions () const
	Return the dimension of the images being analyzed. More...
ImageT::Ptr	getMean () const
virtual double	updateBadPixels (unsigned long mask, int const ncomp)
std::vector< double > const &	getEigenValues () const
	Return Eigen values. More...
ImageList const &	getEigenImages () const
	Return Eigen images. More...

Private Types
typedef lsst::afw::image::ImagePca < ImageT >	Super
	Base class. More...

Detailed Description

template<typename ImageT>
class lsst::ip::diffim::detail::KernelPca< ImageT >

Overrides the analyze method of base class afwImage::ImagePca.

Note

Templated on the Image types it is running on (typically [exclusively?] afwMath::Kernel::Pixel, which is double)

This override normalizes the resulting eigenImages to have peak value of 1.0.

Definition at line 24 of file KernelPca.h.

Member Typedef Documentation

template<typename ImageT>

typedef boost::shared_ptr<KernelPca<ImageT> > lsst::ip::diffim::detail::KernelPca< ImageT >::Ptr

Definition at line 27 of file KernelPca.h.

template<typename ImageT>

typedef lsst::afw::image::ImagePca<ImageT> lsst::ip::diffim::detail::KernelPca< ImageT >::Super

private

Base class.

Definition at line 25 of file KernelPca.h.

Constructor & Destructor Documentation

template<typename ImageT>

lsst::ip::diffim::detail::KernelPca< ImageT >::KernelPca ( bool  constantWeight = true )

inlineexplicit

Ctor.

Definition at line 33 of file KernelPca.h.

: Super(constantWeight) {}

Member Function Documentation

template<typename ImageT >

void lsst::ip::diffim::detail::KernelPca< ImageT >::analyze ( )

virtual

Generate eigenimages that are normalised.

Reimplemented from lsst::afw::image::ImagePca< ImageT >.

Definition at line 164 of file KernelPca.cc.

    {
        Super::analyze();
        
        typename Super::ImageList const &eImageList = this->getEigenImages();
        typename Super::ImageList::const_iterator iter = eImageList.begin(), end = eImageList.end();
        for (size_t i = 0; iter != end; ++i, ++iter) {
            PTR(ImageT) eImage = *iter;
            
            /*
             * Normalise eigenImages to have a maximum of 1.0.  For n > 0 they
             * (should) have mean == 0, so we can't use that to normalize
             */
            afwMath::Statistics stats = afwMath::makeStatistics(*eImage, (afwMath::MIN | afwMath::MAX));
            double const min = stats.getValue(afwMath::MIN);
            double const max = stats.getValue(afwMath::MAX);
            
            double const extreme = (fabs(min) > max) ? min :max;
            if (extreme != 0.0) {
                *eImage /= extreme;
            }
        }
    }

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The documentation for this class was generated from the following files:

• /home/lsstsw/stack/Linux64/ip_diffim/11.0+1/include/lsst/ip/diffim/KernelPca.h
• /home/lsstsw/stack/Linux64/ip_diffim/11.0+1/src/KernelPca.cc