Simple processor to look for vertical or horizontal line segments in the input image. More...

#include <ApplyFlatKernel.h>

Inheritance diagram for luiza::ApplyFlatKernel:

Public Member Functions
virtual Processor *	newProcessor ()
	Return a new instance of the processor. More...

virtual void	init ()
	Called at the begin of the job before anything is read. More...

virtual void	startAnalysis (GloriaDataContainer *)
	Called before first data processing loop. More...

virtual void	processData (GloriaDataContainer *data)
	Called for every data processing loop. More...

virtual void	check (GloriaDataContainer *data)
	Called for every loop - right after processData() call. More...

virtual void	concludeAnalysis (GloriaDataContainer *)
	Called after all data processing loops. More...

virtual void	end ()
	Called after data processing is finished. More...

Public Member Functions inherited from luiza::Processor
	Processor (const std::string &typeName)
	Default constructor. More...

virtual	~Processor ()
	Destructor.

virtual const std::string &	type () const
	Return type name for the processor (as set in constructor).

virtual const std::string &	name () const
	Return name of this processor.

virtual const std::string &	logLevelName () const
	Return name of the local verbosity level of this processor - "" if not set.

virtual StringParameters *	parameters ()
	Return parameters defined for this Processor.

virtual void	printDescription ()
	Print information about this processor in ASCII steering file format.

virtual void	printDescriptionXML (std::ostream &stream=std::cout)
	Print information about this processor in XML steering file format.

template<class T >
void	printParameters ()
	Print the parameters and their values depending on the given verbosity level.

void	printParameters ()
	Print the parameters and their values with verbosity level MESSAGE.

const std::string &	description ()
	Description of processor.

bool	isFirstEvent ()
	True if first event in processEvent(evt) - use this e.g. to initialize histograms etc.

GloriaCollectionType	getGloriaInType (const std::string &colName)
	Return the input type for the collection colName. More...

GloriaCollectionType	getGloriaOutType (const std::string &colName)
	Return the output type for the collection colName. More...

bool	isInputCollectionName (const std::string &parameterName)
	Check if parameter defines collection. More...

bool	isOutputCollectionName (const std::string &parameterName)
	True if the given parameter defines an LCIO output collection */.

Protected Member Functions
void	printEndMessage () const

Protected Member Functions inherited from luiza::Processor
void	setReturnValue (bool val)
	Set the return value for this processor - typically at end of processEvent(). More...

void	setReturnValue (const std::string &name, bool val)
	Set a named return value for this processor - typically at end of processEvent() More...

template<class T >
void	registerProcessorParameter (const std::string &name, const std::string &description, T &parameter, const T &defaultVal, int setSize=0)
	Register a steering variable for this processor - call in constructor of processor. More...

void	registerInputCollection (const GloriaCollectionType &type, const std::string &name, const std::string &description, std::string &parameter, const std::string &defaultVal, int setSize=0)
	Register parameter describing input collection. More...

void	registerOutputCollection (const GloriaCollectionType &type, const std::string &name, const std::string &description, std::string &parameter, const std::string &defaultVal, int setSize=0)
	Register parameter describing output collection. More...

void	registerInputCollections (const GloriaCollectionType &type, const std::string &name, const std::string &description, StringVec &parameter, const StringVec &defaultVal, int setSize=0)
	Register parameter describing input collections. More...

template<class T >
void	registerOptionalParameter (const std::string &name, const std::string &description, T &parameter, const T &defaultVal, int setSize=0)
	Same as registerProcessorParameter except that the parameter is optional. More...

bool	parameterSet (const std::string &name)
	Tests whether the parameter has been set in the steering file.

template<class T >
void	message (const std::string &message) const
	Print message according to verbosity level. More...

template<class T >
void	message (const std::basic_ostream< char, std::char_traits< char > > &m) const
	Similar to message(const std::string& message) More...

std::stringstream &	log () const
	Returns an empty stringstream that is used by the message method.

virtual void	setProcessorParameters (StringParameters *parameters)
	Allow friend class CCProcessor to change/reset processor parameters.

virtual void	updateParameters ()
	Allow friend class CCProcessor to update processor parameters.

virtual void	updateTelescopeParameters (std::string name)
	Allow to update processor parameters for given telescope name. More...

virtual void	updateTelescopeParameters (GloriaFitsHeader *header)
	Update processor parameters based on FITS header. More...

Protected Attributes
string	_inputCollectionName
	Name of the image collection containing images to be added.

string	_outputCollectionName
	Name of the output image collection.

bool	_permanentCollection
	Flag the output collection to be permanent.

std::vector< float >	_objectSize
	Assumed size of the object on the frame, in X and Y.

std::vector< float >	_objectSmearing
	Assumed smearing of the flat object shape, in X and Y.

std::vector< int >	_kernelSize
	Kernel array size in X and Y.

Protected Attributes inherited from luiza::Processor
std::string	_description
	Describes what the processor does. Set in constructor.

Detailed Description

Simple processor to look for vertical or horizontal line segments in the input image.

Processor produces images convoluted with the flat kernel, which us suitable for recognition (and precise position determination) of horizontal or vertical line segments in the image. In particular, it can be used for analysis of frames taken without sky tacking (and long exposure times).

Input: Processor takes images from Gloria data collection and transforms them.

Parameters

InputCollectionName - Name of the collection containing images to be transformed

Output: Convoluted frames are stored in the output collection

Parameters

OutputCollectionName	- Name of the collection where laplace image will be stored
PermanentCollection	- Flag output collection, as permanent, not deleted after loop is finished (default is false)

Transformation: Applied transformation replaces each pixel of the image with the value calculated from the surrounding pixels. This is equivalent to the signal fit with the assumed object shape, at pixel position. In this processor, flat object shape is assumed (vertical or horizontal line segment). This transformation increases efficiency for object identification on the frame and precision of their position determination.

Parameters

ObjectSize	Assumed size of the object image on the frame in X and Y.
ObjectSmearing	Assumed smearing of the flat object shape in X and Y. If one number is given, same smearing will be applied in both directions.
KernelSize	Size of the pixel range (in X and Y) used for the signal determination at given position. If not give, kernel size will be set to twice the object size.

Member Function Documentation

void luiza::ApplyFlatKernel::check ( GloriaDataContainer * data )

virtual

Called for every loop - right after processData() call.

Can be used to check processing and/or produce check plots.

Reimplemented from luiza::Processor.

void luiza::ApplyFlatKernel::concludeAnalysis ( GloriaDataContainer * data )

virtual

Called after all data processing loops.

This method is called to finalize the analysis, after all input data was read (or required number of loops was reached). Analysis of data collected in permanent data collections is possible here.

Reimplemented from luiza::Processor.

void luiza::ApplyFlatKernel::end ( )

virtual

Called after data processing is finished.

Called after all input sources are closed for clean up. Notice that processors are called in the inverse order of the init() method so that resources allocated in the first processor also will be available for all following processors.

Reimplemented from luiza::Processor.

void luiza::ApplyFlatKernel::init ( )

virtual

Called at the begin of the job before anything is read.

Use to initialize the processor, e.g. book histograms.

Reimplemented from luiza::Processor.

virtual Processor* luiza::ApplyFlatKernel::newProcessor ( )

inlinevirtual

Return a new instance of the processor.

Has to be implemented by subclasses.

Implements luiza::Processor.

void luiza::ApplyFlatKernel::printEndMessage ( ) const

protected

Test method for const.

void luiza::ApplyFlatKernel::processData ( GloriaDataContainer * data )

virtual

Called for every data processing loop.

This is where most of the work (analysis) is done. Data is exchanged between processors via GloriaDataContainer

Reimplemented from luiza::Processor.

References gloria::GloriaDataContainer::GetImageCollection().

void luiza::ApplyFlatKernel::startAnalysis ( GloriaDataContainer * data )

virtual

Called before first data processing loop.

Can be used to initialize data collections required for analysis, eg. define permanent collections, or fill them with external data (from file, database or net). It is possible as GloriaDataContainer is already defined, contrary to init().

Reimplemented from luiza::Processor.

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

ApplyFlatKernel.h
ApplyFlatKernel.cc

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Member Function Documentation