#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 3587 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 3601 of file processor.h. 03602 {
03603 return "Gradient remover, does a rough plane fit to find linear gradients.";
03604 }
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Get the processor's name. Each processor is identified by a unique name.
Implements EMAN::Processor. Definition at line 3592 of file processor.h. Referenced by process_inplace(). 03593 {
03594 return NAME;
03595 }
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Definition at line 3596 of file processor.h. 03597 {
03598 return new GradientRemoverProcessor();
03599 }
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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 2625 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(). 02626 {
02627 if (!image) {
02628 LOGWARN("NULL Image");
02629 return;
02630 }
02631
02632 int nz = image->get_zsize();
02633 if (nz > 1) {
02634 LOGERR("%s Processor doesn't support 3D model", get_name().c_str());
02635 throw ImageDimensionException("3D model not supported");
02636 }
02637
02638 int nx = image->get_xsize();
02639 int ny = image->get_ysize();
02640 float *dy = new float[ny];
02641 float m = 0;
02642 float b = 0;
02643 float sum_y = 0;
02644 float *data = image->get_data();
02645
02646 for (int i = 0; i < ny; i++) {
02647 Util::calc_least_square_fit(nx, 0, data + i * nx, &m, &b, false);
02648 dy[i] = b;
02649 sum_y += m;
02650 }
02651
02652 float mean_y = sum_y / ny;
02653 float sum_x = 0;
02654 Util::calc_least_square_fit(ny, 0, dy, &sum_x, &b, false);
02655
02656 for (int j = 0; j < ny; j++) {
02657 for (int i = 0; i < nx; i++) {
02658 data[i + j * nx] -= i * sum_x + j * mean_y + b;
02659 }
02660 }
02661
02662 image->update();
02663 }
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Definition at line 134 of file processor.cpp. |
1.3.9.1