EMAN::ImageDivergenceProcessor Class Reference

Computes the image divergence using David's partial derivative processors. More...

#include <processor.h>

Inheritance diagram for EMAN::ImageDivergenceProcessor:

Collaboration diagram for EMAN::ImageDivergenceProcessor:

Public Member Functions
	ImageDivergenceProcessor ()
string	get_name () const
	Get the processor's name. More...
void	process_inplace (EMData *image)
	To process an image in-place. More...
string	get_desc () const
	Get the descrition of this specific processor. More...
TypeDict	get_param_types () const
	Get processor parameter information in a dictionary. More...
Public Member Functions inherited from EMAN::Processor
virtual	~Processor ()
virtual EMData *	process (const EMData *const image)
	To proccess an image out-of-place. More...
virtual void	process_list_inplace (vector< EMData * > &images)
	To process multiple images using the same algorithm. More...
virtual Dict	get_params () const
	Get the processor parameters in a key/value dictionary. More...
virtual void	set_params (const Dict &new_params)
	Set the processor parameters using a key/value dictionary. More...

Static Public Member Functions
static Processor *	NEW ()
Static Public Member Functions inherited from EMAN::Processor
static string	get_group_desc ()
	Get the description of this group of processors. More...
static void	EMFourierFilterInPlace (EMData *fimage, Dict params)
	Compute a Fourier-filter processed image in place. More...
static EMData *	EMFourierFilter (EMData *fimage, Dict params)
	Compute a Fourier-processor processed image without altering the original image. More...

Static Public Attributes
static const string	NAME = "math.divergence"

Additional Inherited Members
Public Types inherited from EMAN::Processor
enum	fourier_filter_types {   TOP_HAT_LOW_PASS , TOP_HAT_HIGH_PASS , TOP_HAT_BAND_PASS , TOP_HOMOMORPHIC ,   GAUSS_LOW_PASS , GAUSS_HIGH_PASS , GAUSS_BAND_PASS , GAUSS_INVERSE ,   GAUSS_HOMOMORPHIC , BUTTERWORTH_LOW_PASS , BUTTERWORTH_HIGH_PASS , BUTTERWORTH_HOMOMORPHIC ,   KAISER_I0 , KAISER_SINH , KAISER_I0_INVERSE , KAISER_SINH_INVERSE ,   SHIFT , TANH_LOW_PASS , TANH_HIGH_PASS , TANH_HOMOMORPHIC ,   TANH_BAND_PASS , RADIAL_TABLE , CTF_ }
	Fourier filter Processor type enum. More...
Protected Attributes inherited from EMAN::Processor
Dict	params

Detailed Description

Computes the image divergence using David's partial derivative processors.

Author

James Michael Bell

Date

06/26/2015

Definition at line 976 of file processor.h.

Constructor & Destructor Documentation

ImageDivergenceProcessor()

EMAN::ImageDivergenceProcessor::ImageDivergenceProcessor ( )

inline

Definition at line 979 of file processor.h.

{}

Referenced by NEW().

Member Function Documentation

get_desc()

string EMAN::ImageDivergenceProcessor::get_desc ( ) const

inlinevirtual

Get the descrition of this specific processor.

This function must be overwritten by a subclass.

Returns

The description of this processor.

Implements EMAN::Processor.

Definition at line 993 of file processor.h.

                {
                        return "Determines the divergence of a 2D image.";
                }

get_name()

string EMAN::ImageDivergenceProcessor::get_name ( ) const

inlinevirtual

Get the processor's name.

Each processor is identified by a unique name.

Returns

The processor's name.

Implements EMAN::Processor.

Definition at line 981 of file processor.h.

                {
                        return NAME;
                }

References NAME.

get_param_types()

TypeDict EMAN::ImageDivergenceProcessor::get_param_types ( ) const

inlinevirtual

Get processor parameter information in a dictionary.

Each parameter has one record in the dictionary. Each record contains its name, data-type, and description.

Returns

A dictionary containing the parameter info.

Reimplemented from EMAN::Processor.

Definition at line 998 of file processor.h.

                {
                        TypeDict d;
                        return d;
                }

NEW()

static Processor * EMAN::ImageDivergenceProcessor::NEW ( )

inlinestatic

Definition at line 988 of file processor.h.

                {
                        return new ImageDivergenceProcessor();
                }

References ImageDivergenceProcessor().

process_inplace()

void ImageDivergenceProcessor::process_inplace ( EMData *  image )

virtual

To process an image in-place.

For those processors which can only be processed out-of-place, override this function to just print out some error message to remind user call the out-of-place version.

Parameters

image

The image to be processed.

Implements EMAN::Processor.

Definition at line 12991 of file processor.cpp.

{
        EMData* d = new EMData();
        d = image->process("math.edge.xgradient");
        image->process_inplace("math.edge.ygradient");
        image->add(*d);
        image->process_inplace("normalize");
        delete d;
}

Member Data Documentation

NAME

const string ImageDivergenceProcessor::NAME = "math.divergence"

static

Definition at line 1004 of file processor.h.

Referenced by get_name().

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

• processor.h
• processor.cpp