#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 3720 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 3734 of file processor.h. 03735 { 03736 return "Ramp processor -- Fits a least-squares plane " 03737 "to the picture, and subtracts the plane from " 03738 "the picture. A wedge-shaped overall density " 03739 "profile can thus be removed from the picture."; 03740 }
|
|
Get the processor's name. Each processor is identified by a unique name.
Implements EMAN::Processor. Definition at line 3725 of file processor.h. Referenced by process_inplace(). 03726 {
03727 return NAME;
03728 }
|
|
Definition at line 3729 of file processor.h. 03730 { 03731 return new RampProcessor(); 03732 }
|
|
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 7944 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(). 07945 { 07946 if (!image) { 07947 return; 07948 } 07949 07950 int nz = image->get_zsize(); 07951 if (nz > 1) { 07952 LOGERR("%s Processor doesn't support 3D model", get_name().c_str()); 07953 throw ImageDimensionException("3D model not supported"); 07954 } 07955 07956 int nsam = image->get_xsize(); 07957 int nrow = image->get_ysize(); 07958 int n1 = nsam / 2; 07959 double sx1 = double(n1)*double(nsam+1); 07960 if ( nsam % 2 == 1 ) 07961 sx1 += 1 + n1; 07962 sx1 *= nrow; 07963 int n2 = nrow / 2; 07964 double sx2 = double(n2)*double(nrow+1); 07965 if ( nrow % 2 == 1 ) 07966 sx2 += 1 + n2; 07967 sx2 *= nsam; 07968 float *data = image->get_data(); 07969 float *row = NULL; // handy pointer for values in a specific row of the data 07970 // statistical sums 07971 double syx1 = 0, syx2 = 0, sy = 0, sx1q = 0, sx2q = 0, syq = 0; 07972 for (int j=1; j <= nrow; j++) { 07973 row = data + (j-1)*nsam - 1; // "-1" so that we can start counting at 1 07974 for (int i=1; i<=nsam; i++) { 07975 syx1 += row[i]*i; 07976 syx2 += row[i]*j; 07977 sy += row[i]; 07978 sx1q += i*i; 07979 sx2q += j*j; 07980 syq += row[i]*double(row[i]); 07981 } 07982 } 07983 // least-squares 07984 float dn = float(nsam)*float(nrow); 07985 double qyx1 = syx1 - sx1*sy / dn; 07986 double qyx2 = syx2 - sx2*sy / dn; 07987 double qx1x2 = 0.0; 07988 double qx1 = sx1q - sx1*sx1 / dn; 07989 double qx2 = sx2q - sx2*sx2 / dn; 07990 double qy = syq - sy*sy / dn; 07991 double c = qx1*qx2 - qx1x2*qx1x2; 07992 if ( c > FLT_EPSILON ) { 07993 double b1 = (qyx1*qx2 - qyx2*qx1x2) / c; 07994 double b2 = (qyx2*qx1 - qyx1*qx1x2) / c; 07995 double a = (sy - b1*sx1 - b2*sx2) / dn; 07996 double d = a + b1 + b2; 07997 for (int i=1; i<=nrow; i++) { 07998 qy = d; 07999 row = data + (i-1)*nsam - 1; 08000 for (int k=1; k<=nsam; k++) { 08001 row[k] -= static_cast<float>(qy); 08002 qy += b1; 08003 } 08004 d += b2; 08005 } 08006 } // image not altered if c is zero 08007 08008 image->update(); 08009 }
|
|
Definition at line 132 of file processor.cpp. |