#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 | |
Processor * | NEW () |
Static Public Attributes | |
const string | NAME = "math.lineargradientfix" |
Definition at line 3630 of file processor.h.
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Get the descrition of this specific processor. This function must be overwritten by a subclass.
Implements EMAN::Processor. Definition at line 3644 of file processor.h. 03645 { 03646 return "Gradient remover, does a rough plane fit to find linear gradients."; 03647 }
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Get the processor's name. Each processor is identified by a unique name.
Implements EMAN::Processor. Definition at line 3635 of file processor.h. Referenced by process_inplace(). 03636 {
03637 return NAME;
03638 }
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Definition at line 3639 of file processor.h. 03640 { 03641 return new GradientRemoverProcessor(); 03642 }
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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.
Implements EMAN::Processor. Definition at line 2638 of file processor.cpp. References b, EMAN::Util::calc_least_square_fit(), data, EMAN::EMData::get_data(), get_name(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), ImageDimensionException, LOGERR, LOGWARN, nx, ny, and EMAN::EMData::update(). 02639 { 02640 if (!image) { 02641 LOGWARN("NULL Image"); 02642 return; 02643 } 02644 02645 int nz = image->get_zsize(); 02646 if (nz > 1) { 02647 LOGERR("%s Processor doesn't support 3D model", get_name().c_str()); 02648 throw ImageDimensionException("3D model not supported"); 02649 } 02650 02651 int nx = image->get_xsize(); 02652 int ny = image->get_ysize(); 02653 float *dy = new float[ny]; 02654 float m = 0; 02655 float b = 0; 02656 float sum_y = 0; 02657 float *data = image->get_data(); 02658 02659 for (int i = 0; i < ny; i++) { 02660 Util::calc_least_square_fit(nx, 0, data + i * nx, &m, &b, false); 02661 dy[i] = b; 02662 sum_y += m; 02663 } 02664 02665 float mean_y = sum_y / ny; 02666 float sum_x = 0; 02667 Util::calc_least_square_fit(ny, 0, dy, &sum_x, &b, false); 02668 02669 for (int j = 0; j < ny; j++) { 02670 for (int i = 0; i < nx; i++) { 02671 data[i + j * nx] -= i * sum_x + j * mean_y + b; 02672 } 02673 } 02674 02675 image->update(); 02676 }
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Definition at line 129 of file processor.cpp. |