#include <processor.h>
Inheritance diagram for EMAN::AverageXProcessor:
Public Member Functions | |
void | process_inplace (EMData *image) |
To process an image in-place. | |
string | get_name () const |
Get the processor's name. | |
string | get_desc () const |
Get the descrition of this specific processor. | |
Static Public Member Functions | |
static Processor * | NEW () |
Static Public Attributes | |
static const string | NAME = "math.averageovery" |
Definition at line 3851 of file processor.h.
string EMAN::AverageXProcessor::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 3866 of file processor.h.
string EMAN::AverageXProcessor::get_name | ( | ) | const [inline, virtual] |
Get the processor's name.
Each processor is identified by a unique name.
Implements EMAN::Processor.
Definition at line 3856 of file processor.h.
References NAME.
03857 { 03858 return NAME; 03859 }
static Processor* EMAN::AverageXProcessor::NEW | ( | ) | [inline, static] |
void AverageXProcessor::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 3229 of file processor.cpp.
References EMAN::EMData::get_data(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), LOGWARN, EMAN::EMData::update(), and x.
03230 { 03231 if (!image) { 03232 LOGWARN("NULL Image"); 03233 return; 03234 } 03235 03236 float *data = image->get_data(); 03237 int nx = image->get_xsize(); 03238 int ny = image->get_ysize(); 03239 int nz = image->get_zsize(); 03240 size_t nxy = (size_t)nx * ny; 03241 03242 size_t idx; 03243 for (int z = 0; z < nz; z++) { 03244 for (int x = 0; x < nx; x++) { 03245 double sum = 0; 03246 for (int y = 0; y < ny; y++) { 03247 idx = x + y * nx + z * nxy; 03248 sum += data[idx]; 03249 } 03250 float mean = (float) sum / ny; 03251 03252 for (int y = 0; y < ny; y++) { 03253 idx = x + y * nx + z * nxy; 03254 data[idx] = mean; 03255 } 03256 } 03257 } 03258 03259 image->update(); 03260 }
const string AverageXProcessor::NAME = "math.averageovery" [static] |