#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 3628 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 3642 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 3633 of file processor.h.
References NAME.
Referenced by process_inplace().
03634 { 03635 return NAME; 03636 }
static Processor* EMAN::GradientRemoverProcessor::NEW | ( | ) | [inline, static] |
Definition at line 3637 of file processor.h.
03638 { 03639 return new GradientRemoverProcessor(); 03640 }
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 2632 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().
02633 { 02634 if (!image) { 02635 LOGWARN("NULL Image"); 02636 return; 02637 } 02638 02639 int nz = image->get_zsize(); 02640 if (nz > 1) { 02641 LOGERR("%s Processor doesn't support 3D model", get_name().c_str()); 02642 throw ImageDimensionException("3D model not supported"); 02643 } 02644 02645 int nx = image->get_xsize(); 02646 int ny = image->get_ysize(); 02647 float *dy = new float[ny]; 02648 float m = 0; 02649 float b = 0; 02650 float sum_y = 0; 02651 float *data = image->get_data(); 02652 02653 for (int i = 0; i < ny; i++) { 02654 Util::calc_least_square_fit(nx, 0, data + i * nx, &m, &b, false); 02655 dy[i] = b; 02656 sum_y += m; 02657 } 02658 02659 float mean_y = sum_y / ny; 02660 float sum_x = 0; 02661 Util::calc_least_square_fit(ny, 0, dy, &sum_x, &b, false); 02662 02663 for (int j = 0; j < ny; j++) { 02664 for (int i = 0; i < nx; i++) { 02665 data[i + j * nx] -= i * sum_x + j * mean_y + b; 02666 } 02667 } 02668 02669 image->update(); 02670 }
const string GradientRemoverProcessor::NAME = "math.lineargradientfix" [static] |