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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 5791 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 5801 of file processor.h.

05802                 {
05803                         return "Replace a source image with pink Fourier noise, based on a Gaussian. Random phase.";
05804                 }

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 5796 of file processor.h.

05797                 {
05798                         return NAME;
05799                 }

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 5811 of file processor.h.

References EMAN::TypeDict::put().

05812                 {
05813                         TypeDict d;
05814                         d.put("sigma", EMObject::FLOAT, "sigma value");
05815                         return d;
05816                 }

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

Definition at line 5806 of file processor.h.

05807                 {
05808                         return new TestImageFourierNoiseGaussian();
05809                 }

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 6685 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.

06686 {
06687         if (!image->is_complex()) {
06688                 int nx = image->get_xsize();
06689                 int offset = 2 - nx%2;
06690 
06691                 image->set_size(nx+offset,image->get_ysize(),image->get_zsize());
06692                 image->set_complex(true);
06693                 if (1 == offset) image->set_fftodd(true);
06694                 else image->set_fftodd(false);
06695                 image->set_fftpad(true);
06696         }
06697         image->ri2ap();
06698 
06699         float sigma = params.set_default("sigma",.25f);
06700 
06701         float * d = image->get_data();
06702         int nx = image->get_xsize();
06703         int ny = image->get_ysize();
06704         int nxy = image->get_ysize()*nx;
06705         int nzon2 = image->get_zsize()/2;
06706         int nyon2 = image->get_ysize()/2;
06707         float rx, ry, rz, length, amp, phase;
06708         int twox;
06709         for (int z = 0; z< image->get_zsize(); ++z) {
06710                 for (int y = 0; y < image->get_ysize(); ++y) {
06711                         for (int x = 0; x < image->get_xsize()/2; ++x) {
06712                                 rx = (float)x;
06713                                 ry = (float)nyon2 - (float)y;
06714                                 rz = (float)nzon2 - (float)z;
06715                                 length = sqrt(rx*rx + ry*ry + rz*rz);
06716                                 amp = exp(-sigma*length);
06717                                 phase = Util::get_frand(0,1)*2*M_PI;
06718 
06719                                 twox = 2*x;
06720                                 size_t idx1 = twox + y*nx+(size_t)z*nxy;
06721                                 size_t idx2 = idx1 + 1;
06722                                 d[idx1] = amp;
06723                                 d[idx2] = phase;
06724 
06725                         }
06726                 }
06727         }
06728 
06729         image->ap2ri();
06730         if (image->get_ndim() == 2) {
06731                 bool yodd = image->get_ysize() % 2 == 1;
06732 
06733                 int yit = image->get_ysize()/2-1;
06734                 int offset = 1;
06735                 if (yodd) {
06736                         offset = 0;
06737                 }
06738                 for (int y = 0; y < yit; ++y) {
06739                         int bot_idx = (y+offset)*nx;
06740                         int top_idx = (ny-1-y)*nx;
06741                         float r1 = d[bot_idx];
06742                         float i1 = d[bot_idx+1];
06743                         float r2 = d[top_idx];
06744                         float i2 = d[top_idx+1];
06745                         float r = (r1 + r2)/2.0f;
06746                         float i = (i1 + i2)/2.0f;
06747                         d[bot_idx] = r;
06748                         d[top_idx] = r;
06749                         d[bot_idx+1] = i;
06750                         d[top_idx+1] = -i;
06751 
06752                         bot_idx = (y+offset)*nx+nx-2;
06753                         top_idx = (ny-1-y)*nx+nx-2;
06754                         r1 = d[bot_idx];
06755                         i1 = d[bot_idx+1];
06756                         r2 = d[top_idx];
06757                         i2 = d[top_idx+1];
06758                         r = (r1 + r2)/2.0f;
06759                         i = (i1 + i2)/2.0f;
06760                         d[bot_idx] = r;
06761                         d[top_idx] = r;
06762                         d[bot_idx+1] = i;
06763                         d[top_idx+1] = -i;
06764                 }
06765 
06766                 d[1] = 0; // 0 phase for this componenet
06767                 d[nx-1] = 0; // 0 phase for this component
06768                 d[ny/2*nx+nx-1] = 0;// 0 phase for this component
06769                 d[ny/2*nx+1] = 0;// 0 phase for this component
06770         }
06771 
06772         if (image->get_ndim() != 1) image->process_inplace("xform.fourierorigin.tocorner");
06773         image->do_ift_inplace();
06774         image->depad();
06775 }


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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