Main Page | Modules | Namespace List | Class Hierarchy | Alphabetical List | Class List | Directories | File List | Namespace Members | Class Members | File Members

EMAN::TestImageGaussian Class Reference

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

#include <processor.h>

Inheritance diagram for EMAN::TestImageGaussian:

Inheritance graph
[legend]
Collaboration diagram for EMAN::TestImageGaussian:

Collaboration graph
[legend]
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.gaussian"

Detailed Description

Replace a source image as a Gaussian Blob.

Parameters:
sigma sigma value for this Gaussian blob
axis specify a major axis for asymmetric features
c distance between focus and the center of an ellipse

Definition at line 6122 of file processor.h.


Member Function Documentation

virtual string EMAN::TestImageGaussian::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 6132 of file processor.h.

06133                 {
06134                         return "Replace a source image as a Gaussian Blob";
06135                 }

virtual string EMAN::TestImageGaussian::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 6127 of file processor.h.

06128                 {
06129                         return NAME;
06130                 }

virtual TypeDict EMAN::TestImageGaussian::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 6142 of file processor.h.

References EMAN::TypeDict::put().

06143                 {
06144                         TypeDict d;
06145                         d.put("sigma", EMObject::FLOAT, "sigma value for this Gaussian blob");
06146                         d.put("axis", EMObject::STRING, "specify a major axis for asymmetric features");
06147                         d.put("c", EMObject::FLOAT, "distance between focus and the center of an ellipse");
06148                         return d;
06149                 }

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

Definition at line 6137 of file processor.h.

06138                 {
06139                         return new TestImageGaussian();
06140                 }

void TestImageGaussian::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 7108 of file processor.cpp.

References EMAN::EMData::get_data(), InvalidValueException, nx, ny, EMAN::TestImageProcessor::preprocess(), sqrt(), and EMAN::EMData::update().

07109 {
07110         preprocess(image);
07111 
07112         float sigma = params["sigma"];
07113         string axis = (const char*)params["axis"];
07114         float c = params["c"];
07115 
07116         float *dat = image->get_data();
07117         float r; //this is the distance of pixel from the image center(nx/2, ny/2, nz/2)
07118         float x2, y2, z2; //this is the coordinates of this pixel from image center
07119         for (int k = 0; k < nz; ++k) {
07120                 for (int j = 0; j < ny; ++j) {
07121                         for (int i = 0; i < nx; ++i, ++dat) {
07122                                 x2 = (float)( i - nx/2 );
07123                                 y2 = (float)( j - ny/2 );
07124                                 z2 = (float)( k - nz/2 );
07125 
07126                                 if(axis==""){
07127                                         r = (float)sqrt(x2*x2+y2*y2+z2*z2);
07128                                 }
07129                                 else if(axis == "x"){
07130                                         float lc = -c;
07131                                         float rc = c;
07132                                         r = ( (float)sqrt((x2-lc)*(x2-lc)+y2*y2+z2*z2) +
07133                                                   (float)sqrt((x2-rc)*(x2-rc)+y2*y2+z2*z2) ) /2.0f - c;
07134                                 }
07135                                 else if(axis == "y"){
07136                                         float lc = -c;
07137                                         float rc = c;
07138                                         r = ( (float)sqrt(x2*x2+(y2-lc)*(y2-lc)+z2*z2) +
07139                                                   (float)sqrt(x2*x2+(y2-rc)*(y2-rc)+z2*z2) ) /2.0f - c;
07140                                 }
07141                                 else if(axis == "z"){
07142                                         if( nz == 1 ){
07143                                                 throw InvalidValueException(0, "This is a 2D image, no asymmetric feature for z axis");
07144                                         }
07145                                         float lc = -c;
07146                                         float rc = c;
07147                                         r = ( (float)sqrt(x2*x2+y2*y2+(z2-lc)*(z2-lc)) +
07148                                                   (float)sqrt(x2*x2+y2*y2+(z2-rc)*(z2-rc)) ) /2.0f - c;
07149                                 }
07150                                 else{
07151                                         throw InvalidValueException(0, "please specify a valid axis for asymmetric features");
07152                                 }
07153                                 //the amplitude of the pixel is proportional to the distance of this pixel from the center
07154                                 *dat = (float)gsl_ran_gaussian_pdf((double)r,(double)sigma);
07155                         }
07156                 }
07157         }
07158 
07159         image->update();
07160 }


Member Data Documentation

const string TestImageGaussian::NAME = "testimage.gaussian" [static]
 

Definition at line 198 of file processor.cpp.


The documentation for this class was generated from the following files:
Generated on Thu Nov 17 12:46:37 2011 for EMAN2 by  doxygen 1.3.9.1