#include <processor.h>
Inheritance diagram for EMAN::RampProcessor:


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 = "filter.ramp" |
A wedge-shaped overall density profile can thus be removed from the picture.
Definition at line 3651 of file processor.h.
|
|
Get the descrition of this specific processor. This function must be overwritten by a subclass.
Implements EMAN::Processor. Definition at line 3665 of file processor.h. 03666 {
03667 return "Ramp processor -- Fits a least-squares plane "
03668 "to the picture, and subtracts the plane from "
03669 "the picture. A wedge-shaped overall density "
03670 "profile can thus be removed from the picture.";
03671 }
|
|
|
Get the processor's name. Each processor is identified by a unique name.
Implements EMAN::Processor. Definition at line 3656 of file processor.h. Referenced by process_inplace(). 03657 {
03658 return NAME;
03659 }
|
|
|
Definition at line 3660 of file processor.h. 03661 {
03662 return new RampProcessor();
03663 }
|
|
|
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 7830 of file processor.cpp. References data, EMAN::EMData::get_data(), get_name(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), ImageDimensionException, LOGERR, and EMAN::EMData::update(). 07831 {
07832 if (!image) {
07833 return;
07834 }
07835
07836 int nz = image->get_zsize();
07837 if (nz > 1) {
07838 LOGERR("%s Processor doesn't support 3D model", get_name().c_str());
07839 throw ImageDimensionException("3D model not supported");
07840 }
07841
07842 int nsam = image->get_xsize();
07843 int nrow = image->get_ysize();
07844 int n1 = nsam / 2;
07845 double sx1 = double(n1)*double(nsam+1);
07846 if ( nsam % 2 == 1 )
07847 sx1 += 1 + n1;
07848 sx1 *= nrow;
07849 int n2 = nrow / 2;
07850 double sx2 = double(n2)*double(nrow+1);
07851 if ( nrow % 2 == 1 )
07852 sx2 += 1 + n2;
07853 sx2 *= nsam;
07854 float *data = image->get_data();
07855 float *row = NULL; // handy pointer for values in a specific row of the data
07856 // statistical sums
07857 double syx1 = 0, syx2 = 0, sy = 0, sx1q = 0, sx2q = 0, syq = 0;
07858 for (int j=1; j <= nrow; j++) {
07859 row = data + (j-1)*nsam - 1; // "-1" so that we can start counting at 1
07860 for (int i=1; i<=nsam; i++) {
07861 syx1 += row[i]*i;
07862 syx2 += row[i]*j;
07863 sy += row[i];
07864 sx1q += i*i;
07865 sx2q += j*j;
07866 syq += row[i]*double(row[i]);
07867 }
07868 }
07869 // least-squares
07870 float dn = float(nsam)*float(nrow);
07871 double qyx1 = syx1 - sx1*sy / dn;
07872 double qyx2 = syx2 - sx2*sy / dn;
07873 double qx1x2 = 0.0;
07874 double qx1 = sx1q - sx1*sx1 / dn;
07875 double qx2 = sx2q - sx2*sx2 / dn;
07876 double qy = syq - sy*sy / dn;
07877 double c = qx1*qx2 - qx1x2*qx1x2;
07878 if ( c > FLT_EPSILON ) {
07879 double b1 = (qyx1*qx2 - qyx2*qx1x2) / c;
07880 double b2 = (qyx2*qx1 - qyx1*qx1x2) / c;
07881 double a = (sy - b1*sx1 - b2*sx2) / dn;
07882 double d = a + b1 + b2;
07883 for (int i=1; i<=nrow; i++) {
07884 qy = d;
07885 row = data + (i-1)*nsam - 1;
07886 for (int k=1; k<=nsam; k++) {
07887 row[k] -= static_cast<float>(qy);
07888 qy += b1;
07889 }
07890 d += b2;
07891 }
07892 } // image not altered if c is zero
07893
07894 image->update();
07895 }
|
|
|
Definition at line 131 of file processor.cpp. |
1.3.9.1