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EMAN::TestImageFourierNoiseGaussian Class Reference

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

#include <processor.h>

Inheritance diagram for EMAN::TestImageFourierNoiseGaussian:

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Collaboration diagram for EMAN::TestImageFourierNoiseGaussian:

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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.noise.fourier.gaussian"

Detailed Description

Replace a source image as a strict Gaussian.

Parameters:
sigma sigma value for this Gaussian blob

Definition at line 5907 of file processor.h.


Member Function Documentation

virtual string EMAN::TestImageFourierNoiseGaussian::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 5917 of file processor.h.

05918                 {
05919                         return "Replace a source image with pink Fourier noise, based on a Gaussian. Random phase.";
05920                 }

virtual string EMAN::TestImageFourierNoiseGaussian::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 5912 of file processor.h.

05913                 {
05914                         return NAME;
05915                 }

virtual TypeDict EMAN::TestImageFourierNoiseGaussian::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 5927 of file processor.h.

References EMAN::TypeDict::put().

05928                 {
05929                         TypeDict d;
05930                         d.put("sigma", EMObject::FLOAT, "sigma value");
05931                         return d;
05932                 }

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

Definition at line 5922 of file processor.h.

05923                 {
05924                         return new TestImageFourierNoiseGaussian();
05925                 }

void TestImageFourierNoiseGaussian::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 6886 of file processor.cpp.

References EMAN::EMData::ap2ri(), EMAN::EMData::depad(), EMAN::EMData::do_ift_inplace(), EMAN::EMData::get_data(), EMAN::Util::get_frand(), EMAN::EMData::get_ndim(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), EMAN::EMData::is_complex(), EMAN::length(), nx, ny, phase(), EMAN::EMData::process_inplace(), EMAN::EMData::ri2ap(), EMAN::EMData::set_complex(), EMAN::Dict::set_default(), EMAN::EMData::set_fftodd(), EMAN::EMData::set_fftpad(), EMAN::EMData::set_size(), sqrt(), x, and y.

06887 {
06888         if (!image->is_complex()) {
06889                 int nx = image->get_xsize();
06890                 int offset = 2 - nx%2;
06891 
06892                 image->set_size(nx+offset,image->get_ysize(),image->get_zsize());
06893                 image->set_complex(true);
06894                 if (1 == offset) image->set_fftodd(true);
06895                 else image->set_fftodd(false);
06896                 image->set_fftpad(true);
06897         }
06898         image->ri2ap();
06899 
06900         float sigma = params.set_default("sigma",.25f);
06901 
06902         float * d = image->get_data();
06903         int nx = image->get_xsize();
06904         int ny = image->get_ysize();
06905         int nxy = image->get_ysize()*nx;
06906         int nzon2 = image->get_zsize()/2;
06907         int nyon2 = image->get_ysize()/2;
06908         float rx, ry, rz, length, amp, phase;
06909         int twox;
06910         for (int z = 0; z< image->get_zsize(); ++z) {
06911                 for (int y = 0; y < image->get_ysize(); ++y) {
06912                         for (int x = 0; x < image->get_xsize()/2; ++x) {
06913                                 rx = (float)x;
06914                                 ry = (float)nyon2 - (float)y;
06915                                 rz = (float)nzon2 - (float)z;
06916                                 length = sqrt(rx*rx + ry*ry + rz*rz);
06917                                 amp = exp(-sigma*length);
06918                                 phase = Util::get_frand(0,1)*2*M_PI;
06919 
06920                                 twox = 2*x;
06921                                 size_t idx1 = twox + y*nx+(size_t)z*nxy;
06922                                 size_t idx2 = idx1 + 1;
06923                                 d[idx1] = amp;
06924                                 d[idx2] = phase;
06925 
06926                         }
06927                 }
06928         }
06929 
06930         image->ap2ri();
06931         if (image->get_ndim() == 2) {
06932                 bool yodd = image->get_ysize() % 2 == 1;
06933 
06934                 int yit = image->get_ysize()/2-1;
06935                 int offset = 1;
06936                 if (yodd) {
06937                         offset = 0;
06938                 }
06939                 for (int y = 0; y < yit; ++y) {
06940                         int bot_idx = (y+offset)*nx;
06941                         int top_idx = (ny-1-y)*nx;
06942                         float r1 = d[bot_idx];
06943                         float i1 = d[bot_idx+1];
06944                         float r2 = d[top_idx];
06945                         float i2 = d[top_idx+1];
06946                         float r = (r1 + r2)/2.0f;
06947                         float i = (i1 + i2)/2.0f;
06948                         d[bot_idx] = r;
06949                         d[top_idx] = r;
06950                         d[bot_idx+1] = i;
06951                         d[top_idx+1] = -i;
06952 
06953                         bot_idx = (y+offset)*nx+nx-2;
06954                         top_idx = (ny-1-y)*nx+nx-2;
06955                         r1 = d[bot_idx];
06956                         i1 = d[bot_idx+1];
06957                         r2 = d[top_idx];
06958                         i2 = d[top_idx+1];
06959                         r = (r1 + r2)/2.0f;
06960                         i = (i1 + i2)/2.0f;
06961                         d[bot_idx] = r;
06962                         d[top_idx] = r;
06963                         d[bot_idx+1] = i;
06964                         d[top_idx+1] = -i;
06965                 }
06966 
06967                 d[1] = 0; // 0 phase for this componenet
06968                 d[nx-1] = 0; // 0 phase for this component
06969                 d[ny/2*nx+nx-1] = 0;// 0 phase for this component
06970                 d[ny/2*nx+1] = 0;// 0 phase for this component
06971         }
06972 
06973         if (image->get_ndim() != 1) image->process_inplace("xform.fourierorigin.tocorner");
06974         image->do_ift_inplace();
06975         image->depad();
06976 }


Member Data Documentation

const string TestImageFourierNoiseGaussian::NAME = "testimage.noise.fourier.gaussian" [static]
 

Definition at line 191 of file processor.cpp.


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