#include <processor.h>
Inheritance diagram for EMAN::TestImageGaussian:
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.gaussian" |
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 6208 of file processor.h.
virtual string EMAN::TestImageGaussian::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 6218 of file processor.h.
virtual string EMAN::TestImageGaussian::get_name | ( | ) | const [inline, virtual] |
Get the processor's name.
Each processor is identified by a unique name.
Implements EMAN::Processor.
Definition at line 6213 of file processor.h.
References NAME.
06214 { 06215 return NAME; 06216 }
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.
Reimplemented from EMAN::Processor.
Definition at line 6228 of file processor.h.
References EMAN::EMObject::FLOAT, EMAN::TypeDict::put(), and EMAN::EMObject::STRING.
06229 { 06230 TypeDict d; 06231 d.put("sigma", EMObject::FLOAT, "sigma value for this Gaussian blob"); 06232 d.put("axis", EMObject::STRING, "specify a major axis for asymmetric features"); 06233 d.put("c", EMObject::FLOAT, "distance between focus and the center of an ellipse"); 06234 return d; 06235 }
static Processor* EMAN::TestImageGaussian::NEW | ( | ) | [inline, static] |
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.
image | The image to be processed. |
Implements EMAN::Processor.
Definition at line 7260 of file processor.cpp.
References EMAN::EMData::get_data(), InvalidValueException, EMAN::Processor::params, EMAN::TestImageProcessor::preprocess(), sqrt(), and EMAN::EMData::update().
07261 { 07262 preprocess(image); 07263 07264 float sigma = params["sigma"]; 07265 string axis = (const char*)params["axis"]; 07266 float c = params["c"]; 07267 07268 float *dat = image->get_data(); 07269 float r; //this is the distance of pixel from the image center(nx/2, ny/2, nz/2) 07270 float x2, y2, z2; //this is the coordinates of this pixel from image center 07271 for (int k = 0; k < nz; ++k) { 07272 for (int j = 0; j < ny; ++j) { 07273 for (int i = 0; i < nx; ++i, ++dat) { 07274 x2 = (float)( i - nx/2 ); 07275 y2 = (float)( j - ny/2 ); 07276 z2 = (float)( k - nz/2 ); 07277 07278 if(axis==""){ 07279 r = (float)sqrt(x2*x2+y2*y2+z2*z2); 07280 } 07281 else if(axis == "x"){ 07282 float lc = -c; 07283 float rc = c; 07284 r = ( (float)sqrt((x2-lc)*(x2-lc)+y2*y2+z2*z2) + 07285 (float)sqrt((x2-rc)*(x2-rc)+y2*y2+z2*z2) ) /2.0f - c; 07286 } 07287 else if(axis == "y"){ 07288 float lc = -c; 07289 float rc = c; 07290 r = ( (float)sqrt(x2*x2+(y2-lc)*(y2-lc)+z2*z2) + 07291 (float)sqrt(x2*x2+(y2-rc)*(y2-rc)+z2*z2) ) /2.0f - c; 07292 } 07293 else if(axis == "z"){ 07294 if( nz == 1 ){ 07295 throw InvalidValueException(0, "This is a 2D image, no asymmetric feature for z axis"); 07296 } 07297 float lc = -c; 07298 float rc = c; 07299 r = ( (float)sqrt(x2*x2+y2*y2+(z2-lc)*(z2-lc)) + 07300 (float)sqrt(x2*x2+y2*y2+(z2-rc)*(z2-rc)) ) /2.0f - c; 07301 } 07302 else{ 07303 throw InvalidValueException(0, "please specify a valid axis for asymmetric features"); 07304 } 07305 //the amplitude of the pixel is proportional to the distance of this pixel from the center 07306 *dat = (float)gsl_ran_gaussian_pdf((double)r,(double)sigma); 07307 } 07308 } 07309 } 07310 07311 image->update(); 07312 }
const string TestImageGaussian::NAME = "testimage.gaussian" [static] |