#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.
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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 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 }
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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 }
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Definition at line 3660 of file processor.h. 03661 { 03662 return new RampProcessor(); 03663 }
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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 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 }
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Definition at line 131 of file processor.cpp. |