#include <processor.h>
Inheritance diagram for EMAN::GradientRemoverProcessor:
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.lineargradientfix" |
Definition at line 3549 of file processor.h.
string EMAN::GradientRemoverProcessor::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 3563 of file processor.h.
string EMAN::GradientRemoverProcessor::get_name | ( | ) | const [inline, virtual] |
Get the processor's name.
Each processor is identified by a unique name.
Implements EMAN::Processor.
Definition at line 3554 of file processor.h.
References NAME.
Referenced by process_inplace().
03555 { 03556 return NAME; 03557 }
static Processor* EMAN::GradientRemoverProcessor::NEW | ( | ) | [inline, static] |
Definition at line 3558 of file processor.h.
03559 { 03560 return new GradientRemoverProcessor(); 03561 }
void GradientRemoverProcessor::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 2597 of file processor.cpp.
References b, EMAN::Util::calc_least_square_fit(), EMAN::EMData::get_data(), get_name(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), ImageDimensionException, LOGERR, LOGWARN, and EMAN::EMData::update().
02598 { 02599 if (!image) { 02600 LOGWARN("NULL Image"); 02601 return; 02602 } 02603 02604 int nz = image->get_zsize(); 02605 if (nz > 1) { 02606 LOGERR("%s Processor doesn't support 3D model", get_name().c_str()); 02607 throw ImageDimensionException("3D model not supported"); 02608 } 02609 02610 int nx = image->get_xsize(); 02611 int ny = image->get_ysize(); 02612 float *dy = new float[ny]; 02613 float m = 0; 02614 float b = 0; 02615 float sum_y = 0; 02616 float *data = image->get_data(); 02617 02618 for (int i = 0; i < ny; i++) { 02619 Util::calc_least_square_fit(nx, 0, data + i * nx, &m, &b, false); 02620 dy[i] = b; 02621 sum_y += m; 02622 } 02623 02624 float mean_y = sum_y / ny; 02625 float sum_x = 0; 02626 Util::calc_least_square_fit(ny, 0, dy, &sum_x, &b, false); 02627 02628 for (int j = 0; j < ny; j++) { 02629 for (int i = 0; i < nx; i++) { 02630 data[i + j * nx] -= i * sum_x + j * mean_y + b; 02631 } 02632 } 02633 02634 image->update(); 02635 }
const string GradientRemoverProcessor::NAME = "math.lineargradientfix" [static] |