EMAN::TestImageNoiseGauss Class Reference

Replace a source image with gaussian distributed random noise If you don't provide a seed at all, it should be seeded using the best available source of randomness( time(0) in this implementation). More...

#include <processor.h>

Inheritance diagram for EMAN::TestImageNoiseGauss:

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Collaboration diagram for EMAN::TestImageNoiseGauss:

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List of all members.

Public Member Functions

virtual void process_inplace (EMData *image)
 To process an image in-place.
virtual string get_name () const
 Get the processor's name.
virtual string get_desc () const
 Get the descrition of this specific processor.
virtual TypeDict get_param_types () const
 Get processor parameter information in a dictionary.

Static Public Member Functions

static ProcessorNEW ()

Static Public Attributes

static const string NAME = "testimage.noise.gauss"

Detailed Description

Replace a source image with gaussian distributed random noise If you don't provide a seed at all, it should be seeded using the best available source of randomness( time(0) in this implementation).

The testimage classes using random numbers should take an int 'seed' parameter. If this parameter is provided, it will be cast into an unsigned int. This will permit initialization to a known state if desired.

Parameters:
sigma sigma value of gausian distributed noise, default is 0.5
mean mean value of gausian distributed noise, default is zero
seed mean value of gausian distributed noise, default is zero

Definition at line 6525 of file processor.h.


Member Function Documentation

virtual string EMAN::TestImageNoiseGauss::get_desc (  )  const [inline, virtual]

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 6535 of file processor.h.

06536                 {
06537                         return "Replace a source image as a random noise, the random value is gaussian distributed";
06538                 }

virtual string EMAN::TestImageNoiseGauss::get_name (  )  const [inline, virtual]

Get the processor's name.

Each processor is identified by a unique name.

Returns:
The processor's name.

Implements EMAN::Processor.

Definition at line 6530 of file processor.h.

References NAME.

06531                 {
06532                         return NAME;
06533                 }

virtual TypeDict EMAN::TestImageNoiseGauss::get_param_types (  )  const [inline, virtual]

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 6545 of file processor.h.

References EMAN::EMObject::FLOAT, EMAN::EMObject::INT, and EMAN::TypeDict::put().

06546                 {
06547                         TypeDict d;
06548                         d.put("sigma", EMObject::FLOAT, "sigma value of gausian distributed noise, default is 0.5");
06549                         d.put("mean", EMObject::FLOAT, "mean value of gausian distributed noise, default is zero.");
06550                         d.put("seed", EMObject::INT, "the seed for random number generator, default is not to reseed.");
06551 
06552                         return d;
06553                 }

static Processor* EMAN::TestImageNoiseGauss::NEW (  )  [inline, static]

Definition at line 6540 of file processor.h.

06541                 {
06542                         return new TestImageNoiseGauss();
06543                 }

void TestImageNoiseGauss::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 7786 of file processor.cpp.

References EMAN::EMData::get_data(), EMAN::Randnum::get_gauss_rand(), EMAN::Dict::has_key(), EMAN::Randnum::Instance(), EMAN::Processor::params, EMAN::TestImageProcessor::preprocess(), EMAN::Randnum::set_seed(), and EMAN::EMData::update().

07787 {
07788         preprocess(image);
07789 
07790         float sigma = params["sigma"];
07791         if (sigma<=0) { sigma = 1.0; }
07792         float mean = params["mean"];
07793 
07794         Randnum * r = Randnum::Instance();
07795         if (params.has_key("seed")) {
07796                 r->set_seed((int)params["seed"]);
07797         }
07798 
07799         float *dat = image->get_data();
07800         size_t size = nx*ny*nz;
07801         for (size_t i=0; i<size; ++i) {
07802                 dat[i] = r->get_gauss_rand(mean, sigma);
07803         }
07804 
07805         image->update();
07806 }


Member Data Documentation

const string TestImageNoiseGauss::NAME = "testimage.noise.gauss" [static]

Definition at line 6555 of file processor.h.

Referenced by get_name().


The documentation for this class was generated from the following files:
Generated on Mon Jul 19 12:44:13 2010 for EMAN2 by  doxygen 1.4.7