#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 3689 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 3703 of file processor.h. 03704 {
03705 return "Ramp processor -- Fits a least-squares plane "
03706 "to the picture, and subtracts the plane from "
03707 "the picture. A wedge-shaped overall density "
03708 "profile can thus be removed from the picture.";
03709 }
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Get the processor's name. Each processor is identified by a unique name.
Implements EMAN::Processor. Definition at line 3694 of file processor.h. Referenced by process_inplace(). 03695 {
03696 return NAME;
03697 }
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Definition at line 3698 of file processor.h. 03699 {
03700 return new RampProcessor();
03701 }
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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 7858 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(). 07859 {
07860 if (!image) {
07861 return;
07862 }
07863
07864 int nz = image->get_zsize();
07865 if (nz > 1) {
07866 LOGERR("%s Processor doesn't support 3D model", get_name().c_str());
07867 throw ImageDimensionException("3D model not supported");
07868 }
07869
07870 int nsam = image->get_xsize();
07871 int nrow = image->get_ysize();
07872 int n1 = nsam / 2;
07873 double sx1 = double(n1)*double(nsam+1);
07874 if ( nsam % 2 == 1 )
07875 sx1 += 1 + n1;
07876 sx1 *= nrow;
07877 int n2 = nrow / 2;
07878 double sx2 = double(n2)*double(nrow+1);
07879 if ( nrow % 2 == 1 )
07880 sx2 += 1 + n2;
07881 sx2 *= nsam;
07882 float *data = image->get_data();
07883 float *row = NULL; // handy pointer for values in a specific row of the data
07884 // statistical sums
07885 double syx1 = 0, syx2 = 0, sy = 0, sx1q = 0, sx2q = 0, syq = 0;
07886 for (int j=1; j <= nrow; j++) {
07887 row = data + (j-1)*nsam - 1; // "-1" so that we can start counting at 1
07888 for (int i=1; i<=nsam; i++) {
07889 syx1 += row[i]*i;
07890 syx2 += row[i]*j;
07891 sy += row[i];
07892 sx1q += i*i;
07893 sx2q += j*j;
07894 syq += row[i]*double(row[i]);
07895 }
07896 }
07897 // least-squares
07898 float dn = float(nsam)*float(nrow);
07899 double qyx1 = syx1 - sx1*sy / dn;
07900 double qyx2 = syx2 - sx2*sy / dn;
07901 double qx1x2 = 0.0;
07902 double qx1 = sx1q - sx1*sx1 / dn;
07903 double qx2 = sx2q - sx2*sx2 / dn;
07904 double qy = syq - sy*sy / dn;
07905 double c = qx1*qx2 - qx1x2*qx1x2;
07906 if ( c > FLT_EPSILON ) {
07907 double b1 = (qyx1*qx2 - qyx2*qx1x2) / c;
07908 double b2 = (qyx2*qx1 - qyx1*qx1x2) / c;
07909 double a = (sy - b1*sx1 - b2*sx2) / dn;
07910 double d = a + b1 + b2;
07911 for (int i=1; i<=nrow; i++) {
07912 qy = d;
07913 row = data + (i-1)*nsam - 1;
07914 for (int k=1; k<=nsam; k++) {
07915 row[k] -= static_cast<float>(qy);
07916 qy += b1;
07917 }
07918 d += b2;
07919 }
07920 } // image not altered if c is zero
07921
07922 image->update();
07923 }
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Definition at line 137 of file processor.cpp. |
1.3.9.1