#include <processor.h>
Inheritance diagram for EMAN::TestImagePureGaussian:
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 Processor * | NEW () |
Static Public Attributes | |
static const string | NAME = "testimage.puregaussian" |
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 5785 of file processor.h.
virtual string EMAN::TestImagePureGaussian::get_desc | ( | ) | const [inline, virtual] |
Get the descrition of this specific processor.
This function must be overwritten by a subclass.
Implements EMAN::Processor.
Definition at line 5795 of file processor.h.
virtual string EMAN::TestImagePureGaussian::get_name | ( | ) | const [inline, virtual] |
Get the processor's name.
Each processor is identified by a unique name.
Implements EMAN::Processor.
Definition at line 5790 of file processor.h.
References NAME.
05791 { 05792 return NAME; 05793 }
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.
Reimplemented from EMAN::Processor.
Definition at line 5805 of file processor.h.
References EMAN::EMObject::FLOAT, and EMAN::TypeDict::put().
05806 { 05807 TypeDict d; 05808 d.put("x_sigma", EMObject::FLOAT, "sigma value for this Gaussian blob on x direction"); 05809 d.put("y_sigma", EMObject::FLOAT, "sigma value for this Gaussian blob on y direction"); 05810 d.put("z_sigma", EMObject::FLOAT, "sigma value for this Gaussian blob on z direction"); 05811 d.put("x_center", EMObject::FLOAT, "center for this Gaussian blob on x direction" ); 05812 d.put("y_center", EMObject::FLOAT, "center for this Gaussian blob on y direction" ); 05813 d.put("z_center", EMObject::FLOAT, "center for this Gaussian blob on z direction" ); 05814 return d; 05815 }
static Processor* EMAN::TestImagePureGaussian::NEW | ( | ) | [inline, static] |
Definition at line 5800 of file processor.h.
05801 { 05802 return new TestImagePureGaussian(); 05803 }
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.
image | The image to be processed. |
Implements EMAN::Processor.
Definition at line 7133 of file processor.cpp.
References EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), norm(), EMAN::Processor::params, pi, EMAN::TestImageProcessor::preprocess(), sqrt(), EMAN::EMData::update(), and x.
07134 { 07135 preprocess(image); 07136 07137 float x_sigma = params["x_sigma"]; 07138 float y_sigma = params["y_sigma"]; 07139 float z_sigma = params["z_sigma"]; 07140 07141 float x_center = params["x_center"]; 07142 float y_center = params["y_center"]; 07143 float z_center = params["z_center"]; 07144 07145 int nx = image->get_xsize(); 07146 int ny = image->get_ysize(); 07147 int nz = image->get_zsize(); 07148 07149 float x_twosig2 = 2*x_sigma*x_sigma; 07150 float y_twosig2 = 2*y_sigma*y_sigma; 07151 float z_twosig2 = 2*z_sigma*z_sigma; 07152 07153 float sr2pi = sqrt( 2.0f*(float)pi ); 07154 float norm = 1.0f/ ( x_sigma*sr2pi ); 07155 if (ny > 1) { 07156 norm *= 1.0f/ ( y_sigma*sr2pi ); 07157 if (nz > 1) norm *= 1.0f/ ( z_sigma*sr2pi ); 07158 } 07159 07160 float z, y, x, sum, val; 07161 for (int iz=0; iz < nz; ++iz) { 07162 z = static_cast<float>(iz) - z_center; 07163 for (int iy=0; iy < ny; ++iy) { 07164 y = static_cast<float>(iy) - y_center; 07165 for (int ix=0; ix < nx; ++ix) { 07166 x = static_cast<float>(ix) - x_center; 07167 sum = x*x/x_twosig2 + y*y/y_twosig2 + z*z/z_twosig2; 07168 val = norm*exp(-sum); 07169 (*image)(ix,iy,iz) = val; 07170 } 07171 } 07172 } 07173 image->update(); 07174 }
const string TestImagePureGaussian::NAME = "testimage.puregaussian" [static] |