#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 4419 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 4432 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 4422 of file processor.h.
References NAME.
04423 { 04424 return NAME; 04425 }
static Processor* EMAN::NormalizeRowProcessor::NEW | ( | ) | [inline, static] |
Definition at line 4427 of file processor.h.
04428 { 04429 return new NormalizeRowProcessor(); 04430 }
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 3811 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.
03812 { 03813 if (!image) { 03814 LOGWARN("NULL Image"); 03815 return; 03816 } 03817 03818 if (image->get_zsize() > 1) { 03819 LOGERR("row normalize only works for 2D image"); 03820 return; 03821 } 03822 03823 float *rdata = image->get_data(); 03824 int nx = image->get_xsize(); 03825 int ny = image->get_ysize(); 03826 03827 for (int y = 0; y < ny; y++) { 03828 double row_sum = 0; 03829 for (int x = 0; x < nx; x++) { 03830 row_sum += rdata[x + y * nx]; 03831 } 03832 03833 double row_mean = row_sum / nx; 03834 if (row_mean <= 0) { 03835 row_mean = 1; 03836 } 03837 03838 for (int x = 0; x < nx; x++) { 03839 rdata[x + y * nx] /= (float)row_mean; 03840 } 03841 } 03842 03843 image->update(); 03844 }
const string NormalizeRowProcessor::NAME = "normalize.rows" [static] |