#include <processor.h>
Inheritance diagram for EMAN::NormalizeRowProcessor:
Public Member Functions | |
string | get_name () const |
Get the processor's name. | |
string | get_desc () const |
Get the descrition of this specific processor. | |
void | process_inplace (EMData *image) |
To process an image in-place. | |
Static Public Member Functions | |
static Processor * | NEW () |
Static Public Attributes | |
static const string | NAME = "normalize.rows" |
Definition at line 4421 of file processor.h.
string EMAN::NormalizeRowProcessor::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 4434 of file processor.h.
string EMAN::NormalizeRowProcessor::get_name | ( | ) | const [inline, virtual] |
Get the processor's name.
Each processor is identified by a unique name.
Implements EMAN::Processor.
Definition at line 4424 of file processor.h.
References NAME.
04425 { 04426 return NAME; 04427 }
static Processor* EMAN::NormalizeRowProcessor::NEW | ( | ) | [inline, static] |
Definition at line 4429 of file processor.h.
04430 { 04431 return new NormalizeRowProcessor(); 04432 }
void NormalizeRowProcessor::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 3817 of file processor.cpp.
References EMAN::EMData::get_data(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), LOGERR, LOGWARN, rdata, row_sum(), EMAN::EMData::update(), and x.
03818 { 03819 if (!image) { 03820 LOGWARN("NULL Image"); 03821 return; 03822 } 03823 03824 if (image->get_zsize() > 1) { 03825 LOGERR("row normalize only works for 2D image"); 03826 return; 03827 } 03828 03829 float *rdata = image->get_data(); 03830 int nx = image->get_xsize(); 03831 int ny = image->get_ysize(); 03832 03833 for (int y = 0; y < ny; y++) { 03834 double row_sum = 0; 03835 for (int x = 0; x < nx; x++) { 03836 row_sum += rdata[x + y * nx]; 03837 } 03838 03839 double row_mean = row_sum / nx; 03840 if (row_mean <= 0) { 03841 row_mean = 1; 03842 } 03843 03844 for (int x = 0; x < nx; x++) { 03845 rdata[x + y * nx] /= (float)row_mean; 03846 } 03847 } 03848 03849 image->update(); 03850 }
const string NormalizeRowProcessor::NAME = "normalize.rows" [static] |