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EMAN::TestImagePureGaussian Class Reference

Replace a source image as a strict Gaussian. More...

#include <processor.h>

Inheritance diagram for EMAN::TestImagePureGaussian:

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Collaboration diagram for EMAN::TestImagePureGaussian:

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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

ProcessorNEW ()

Static Public Attributes

const string NAME = "testimage.puregaussian"

Detailed Description

Replace a source image as a strict Gaussian.

Parameters:
x_sigma sigma value for this Gaussian blob on x direction
y_sigma sigma value for this Gaussian blob on y direction
z_sigma sigma value for this Gaussian blob on z direction
x_center center for this Gaussian blob on x direction
y_center center for this Gaussian blob on y direction
z_center center for this Gaussian blob on z direction

Definition at line 5697 of file processor.h.


Member Function Documentation

virtual string EMAN::TestImagePureGaussian::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 5707 of file processor.h.

05708                 {
05709                         return "Replace a source image as a strict Gaussian ";
05710                 }

virtual string EMAN::TestImagePureGaussian::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 5702 of file processor.h.

05703                 {
05704                         return NAME;
05705                 }

virtual TypeDict EMAN::TestImagePureGaussian::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 5717 of file processor.h.

References EMAN::TypeDict::put().

05718                 {
05719                         TypeDict d;
05720                         d.put("x_sigma", EMObject::FLOAT, "sigma value for this Gaussian blob on x direction");
05721                         d.put("y_sigma", EMObject::FLOAT, "sigma value for this Gaussian blob on y direction");
05722                         d.put("z_sigma", EMObject::FLOAT, "sigma value for this Gaussian blob on z direction");
05723                         d.put("x_center", EMObject::FLOAT, "center for this Gaussian blob on x direction" );
05724                         d.put("y_center", EMObject::FLOAT, "center for this Gaussian blob on y direction" );
05725                         d.put("z_center", EMObject::FLOAT, "center for this Gaussian blob on z direction" );
05726                         return d;
05727                 }

Processor* EMAN::TestImagePureGaussian::NEW  )  [inline, static]
 

Definition at line 5712 of file processor.h.

05713                 {
05714                         return new TestImagePureGaussian();
05715                 }

void TestImagePureGaussian::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 7202 of file processor.cpp.

References EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), norm(), nx, ny, pi, EMAN::TestImageProcessor::preprocess(), sqrt(), EMAN::EMData::update(), x, and y.

07203 {
07204         preprocess(image);
07205 
07206         float x_sigma = params["x_sigma"];
07207         float y_sigma = params["y_sigma"];
07208         float z_sigma = params["z_sigma"];
07209 
07210         float x_center = params["x_center"];
07211         float y_center = params["y_center"];
07212         float z_center = params["z_center"];
07213 
07214         int nx = image->get_xsize();
07215         int ny = image->get_ysize();
07216         int nz = image->get_zsize();
07217 
07218         float x_twosig2 = 2*x_sigma*x_sigma;
07219         float y_twosig2 = 2*y_sigma*y_sigma;
07220         float z_twosig2 = 2*z_sigma*z_sigma;
07221 
07222         float sr2pi = sqrt( 2.0f*(float)pi );
07223         float norm  = 1.0f/ ( x_sigma*sr2pi );
07224         if (ny > 1) {
07225                 norm *= 1.0f/ ( y_sigma*sr2pi );
07226                 if (nz > 1) norm  *= 1.0f/ ( z_sigma*sr2pi );
07227         }
07228 
07229         float z, y, x, sum, val;
07230         for (int iz=0; iz < nz; ++iz) {
07231                 z = static_cast<float>(iz) - z_center;
07232                 for (int iy=0; iy < ny; ++iy) {
07233                         y = static_cast<float>(iy) - y_center;
07234                         for (int ix=0; ix < nx; ++ix) {
07235                                 x = static_cast<float>(ix) - x_center;
07236                                 sum = x*x/x_twosig2 + y*y/y_twosig2 + z*z/z_twosig2;
07237                                 val = norm*exp(-sum);
07238                                 (*image)(ix,iy,iz) = val;
07239                         }
07240                 }
07241         }
07242         image->update();
07243 }


Member Data Documentation

const string TestImagePureGaussian::NAME = "testimage.puregaussian" [static]
 

Definition at line 188 of file processor.cpp.


The documentation for this class was generated from the following files:
Generated on Thu Mar 10 23:00:55 2011 for EMAN2 by  doxygen 1.3.9.1