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tenmon/3rdparty/include/pcl/PSFEstimator.h
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2022-04-12 08:17:18 +02:00

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// ____ ______ __
// / __ \ / ____// /
// / /_/ // / / /
// / ____// /___ / /___ PixInsight Class Library
// /_/ \____//_____/ PCL 2.4.23
// ----------------------------------------------------------------------------
// pcl/PSFEstimator.h - Released 2022-03-12T18:59:29Z
// ----------------------------------------------------------------------------
// This file is part of the PixInsight Class Library (PCL).
// PCL is a multiplatform C++ framework for development of PixInsight modules.
//
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// ----------------------------------------------------------------------------
#ifndef __PCL_PSFEstimator_h
#define __PCL_PSFEstimator_h
/// \file pcl/PSFEstimator.h
#include <pcl/Defs.h>
#include <pcl/StarDetector.h>
#include <pcl/PSFFit.h>
namespace pcl
{
// ----------------------------------------------------------------------------
/*!
* \class PSFEstimator
* \brief Base class of estimators based on PSF photometry
* \sa PSFSignalEstimator, PSFScaleEstimator, StarDetector, PSFFit
*/
class PCL_CLASS PSFEstimator : public ParallelProcess
{
public:
/*!
* Represents a point spread function type.
*/
typedef StarDetector::psf_function psf_function;
/*!
* Default constructor.
*/
PSFEstimator() = default;
/*!
* Copy constructor.
*/
PSFEstimator( const PSFEstimator& ) = default;
/*!
* Virtual destructor.
*/
virtual ~PSFEstimator()
{
}
/*!
* Copy assignment operator. Returns a reference to this object.
*/
PSFEstimator& operator =( const PSFEstimator& ) = default;
/*!
* Returns a reference to the (immutable) internal star detector used by
* this PSF estimator.
*
* PSF fitting will always be performed as a separate step after star
* detection, so the PSF fitting parameters of the returned object are
* meaningless for the estimation tasks implemented by derived classes.
*/
const StarDetector& Detector() const
{
return const_cast<const StarDetector&>( m_starDetector );
}
/*!
* Returns a reference to the (mutable) internal star detector used by this
* PSF estimator.
*
* PSF fitting will always be performed as a separate step after star
* detection, so changing the PSF fitting parameters of the returned object
* will have no effect on the estimation tasks implemented by derived
* classes.
*/
StarDetector& Detector()
{
return m_starDetector;
}
/*!
* Returns the type of point spread function (PSF) used by this estimator.
* Elliptical PSFs are always used for PSF-based evaluation.
*
* This implementation supports the special PSFunction::Auto PSF type. When
* this type is selected, a series of different PSFs will be fitted for each
* source, and the fit that leads to the least absolute difference among
* function values and sampled pixel values will be used for estimation.
* Currently the following functions are tested in this special mode:
* Gaussian, Lorentzian, and Moffat functions with beta shape parameters of
* 1.5, 4 and 10.
*
* The default PSF type is PSFunction::Moffat4.
*/
psf_function PSFType() const
{
return m_psfType;
}
/*!
* Sets the type of point spread function used by this estimator. See
* PSFType() for more information.
*/
void SetPSFType( psf_function type )
{
m_psfType = type;
}
/*!
* Returns the centroid tolerance in pixels.
*
* The centroid tolerance is the maximum allowed distance in pixels between
* a detected star position (or \e barycenter) and the centroid position of
* the corresponding fitted PSF. Stars where that distance is greater than
* the value returned by this function will be rejected and excluded for
* estimation. This allows preventing PSF fits departing too much from
* detected star coordinates, which enforces robustness and stability of the
* PSF fitting process.
*
* The default centroid tolerance is 1.5 pixels.
*/
float PSFCentroidTolerance() const
{
return m_psfCentroidTolerance;
}
/*!
* Sets the centroid tolerance in pixels. See PSFCentroidTolerance() for a
* description of this parameter.
*/
void SetPSFCentroidTolerance( float t )
{
PCL_PRECONDITION( t >= 0 )
m_psfCentroidTolerance = Max( 0.0F, t );
}
/*!
* Returns the saturation threshold for PSF flux measurements.
*
* Detected stars with one or more pixels with values above this threshold
* will be excluded to perform the PSF estimation task.
*
* The returned value is expressed in the [0,1] range. It can applied either
* as an absolute pixel sample value in the normalized [0,1] range, or as a
* value relative to the maximum pixel sample value of the measured image.
* See IsRelativeSaturationEnabled() for more information.
*
* The default saturation threshold is 0.75.
*/
float SaturationThreshold() const
{
return m_saturationThreshold;
}
/*!
* Sets the saturation threshold in the [0,1] range. The minimum acceptable
* value \a t is 0.1. See SaturationThreshold() for a description of this
* parameter.
*/
void SetSaturationThreshold( float t )
{
PCL_PRECONDITION( t >= 0.1 && t <= 1.0 )
m_saturationThreshold = Range( t, 0.1F, 1.0F );
}
/*!
* The saturation threshold parameter can be applied either as an absolute
* pixel sample value in the normalized [0,1] range, or as a value relative
* to the maximum pixel sample value of the measured image.
*
* The relative saturation threshold option is enabled by default.
*/
bool IsRelativeSaturationEnabled() const
{
return m_saturationRelative;
}
/*!
* Enables the relative saturation threshold option. See
* SaturationThreshold() and IsRelativeSaturationEnabled() for complete
* information on these parameters.
*/
void EnableRelativeSaturation( bool enable = true )
{
m_saturationRelative = enable;
}
/*!
* Disables the relative saturation threshold option. See
* SaturationThreshold() and IsRelativeSaturationEnabled() for complete
* information on these parameters.
*/
void DisableRelativeSaturation( bool disable = true )
{
EnableRelativeSaturation( !disable );
}
/*!
* Returns the rejection limit parameter of this estimator.
*
* The rejection limit parameter defines an order statistic, in the [0.5,1]
* range, used to exclude a fraction of the brightest PSF signal samples
* during the estimation process.
*
* The brightest signal samples usually tend to be unreliable because of
* relative saturation and nonlinearity. However, reliability of PSF flux
* measurements is normally ensured by robust star detection, where the
* source detection algorithm excludes too dim stars, and the saturation
* threshold parameter should impose a reliable upper limit in most
* practical cases. So this parameter should not be necessary under normal
* working conditions.
*
* The default value of this parameter is 1.0, meaning that the sample of
* PSF flux measurements is not clipped by default.
*/
float RejectionLimit() const
{
return m_rejectionLimit;
}
/*!
* Sets a new value of the rejection limit parameter in the [0.5,1] range.
* See RejectionLimit() for a complete description of this parameter.
*/
void SetRejectionLimit( float r )
{
PCL_PRECONDITION( r >= 0.5 && r <= 1 )
m_rejectionLimit = Range( r, 0.5F, 1.0F );
}
/*!
* Returns the growing factor for expansion/contraction of the PSF flux
* measurement region, in units of the Full Width at Tenth Maximum (FWTM),
* assuming a normalized PSF of unit height.
*
* The default value of this parameter is 1.0, meaning that flux is measured
* exclusively for pixels within the elliptical region defined at one tenth
* of the fitted PSF maximum.
*/
float GrowthFactorForFluxMeasurement() const
{
return m_growthForFlux;
}
/*!
* Sets a new value of the growing factor for the PSF flux measurement
* region. See GrowthFactorForFluxMeasurement() for a description of this
* parameter. The valid range for the specified factor \a k is [0.5,2.0].
*/
void SetGrowthFactorForFluxMeasurement( float k )
{
PCL_PRECONDITION( k >= 0.5 && k <= 2.0 )
m_growthForFlux = Range( k, 0.5F, 2.0F );
}
/*!
* Returns the maximum number of stars that will be measured. Returns zero
* if no limit has been set on the maximum number of PSF measurements.
*
* When a limit \a n greater than zero is specified, PSF-based estimation
* will be performed for no more than the \a n brightest stars detected in
* the target image.
*
* The default value is zero, meaning that no specific limit is set.
*/
int MaxStars() const
{
return m_maxStars;
}
/*!
* Sets the maximum number of stars that will be measured. See MaxStars()
* for more information on this parameter.
*
* When a limit \a n greater than zero is specified, PSF-based estimation
* will be performed for no more than the \a n brightest stars detected in
* the target image. When a value &le; 0 is specified, no specific limit
* will be set on the number of measured stars.
*/
void SetMaxStars( int n )
{
PCL_PRECONDITION( n >= 0 )
m_maxStars = Max( 0, n );
}
/*!
* Returns true iff PSF weighting is enabled. When PSF weighting is enabled,
* each photometric PSF sample is multiplied by the inverse of the mean
* absolute deviation of the fitted PSF measured with respect to sampled
* image data.
*
* PSF weighting is disabled by default.
*/
bool IsPSFWeightingEnabled() const
{
return m_weighted;
}
/*!
* Enables PSF weighting for this signal estimator. See
* IsPSFWeightingEnabled() for more information.
*/
void EnablePSFWeighting( bool enable = true )
{
m_weighted = enable;
}
/*!
* Disables PSF weighting for this signal estimator. See
* IsPSFWeightingEnabled() for more information.
*/
void DisablePSFWeighting( bool disable = true )
{
EnablePSFWeighting( !disable );
}
protected:
mutable pcl::StarDetector m_starDetector;
psf_function m_psfType = PSFunction::Moffat4;
float m_psfCentroidTolerance = 1.5F;
float m_saturationThreshold = 0.75F;
bool m_saturationRelative = true;
float m_rejectionLimit = 1.0F;
float m_growthForFlux = 1.0F;
int m_maxStars = 0;
bool m_weighted = false;
/*!
* \internal
* Thread-safe PSF fitting routine.
*/
Array<PSFData> FitStars( const ImageVariant& ) const;
};
// ----------------------------------------------------------------------------
} // pcl
#endif // __PCL_PSFEstimator_h
// ----------------------------------------------------------------------------
// EOF pcl/PSFEstimator.h - Released 2022-03-12T18:59:29Z