#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 | |
static Processor * | NEW () |
Static Public Attributes | |
static const string | NAME = "filter.ramp" |
A wedge-shaped overall density profile can thus be removed from the picture.
Definition at line 3765 of file processor.h.
string EMAN::RampProcessor::get_desc | ( | ) | const [inline, virtual] |
Get the descrition of this specific processor.
This function must be overwritten by a subclass.
Implements EMAN::Processor.
Definition at line 3779 of file processor.h.
03780 { 03781 return "Ramp processor -- Fits a least-squares plane " 03782 "to the picture, and subtracts the plane from " 03783 "the picture. A wedge-shaped overall density " 03784 "profile can thus be removed from the picture."; 03785 }
string EMAN::RampProcessor::get_name | ( | ) | const [inline, virtual] |
Get the processor's name.
Each processor is identified by a unique name.
Implements EMAN::Processor.
Definition at line 3770 of file processor.h.
References NAME.
Referenced by process_inplace().
03771 { 03772 return NAME; 03773 }
static Processor* EMAN::RampProcessor::NEW | ( | ) | [inline, static] |
void RampProcessor::process_inplace | ( | EMData * | image | ) | [virtual] |
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.
image | The image to be processed. |
Implements EMAN::Processor.
Definition at line 8016 of file processor.cpp.
References EMAN::EMData::get_data(), get_name(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), ImageDimensionException, LOGERR, and EMAN::EMData::update().
08017 { 08018 if (!image) { 08019 return; 08020 } 08021 08022 int nz = image->get_zsize(); 08023 if (nz > 1) { 08024 LOGERR("%s Processor doesn't support 3D model", get_name().c_str()); 08025 throw ImageDimensionException("3D model not supported"); 08026 } 08027 08028 int nsam = image->get_xsize(); 08029 int nrow = image->get_ysize(); 08030 int n1 = nsam / 2; 08031 double sx1 = double(n1)*double(nsam+1); 08032 if ( nsam % 2 == 1 ) 08033 sx1 += 1 + n1; 08034 sx1 *= nrow; 08035 int n2 = nrow / 2; 08036 double sx2 = double(n2)*double(nrow+1); 08037 if ( nrow % 2 == 1 ) 08038 sx2 += 1 + n2; 08039 sx2 *= nsam; 08040 float *data = image->get_data(); 08041 float *row = NULL; // handy pointer for values in a specific row of the data 08042 // statistical sums 08043 double syx1 = 0, syx2 = 0, sy = 0, sx1q = 0, sx2q = 0, syq = 0; 08044 for (int j=1; j <= nrow; j++) { 08045 row = data + (j-1)*nsam - 1; // "-1" so that we can start counting at 1 08046 for (int i=1; i<=nsam; i++) { 08047 syx1 += row[i]*i; 08048 syx2 += row[i]*j; 08049 sy += row[i]; 08050 sx1q += i*i; 08051 sx2q += j*j; 08052 syq += row[i]*double(row[i]); 08053 } 08054 } 08055 // least-squares 08056 float dn = float(nsam)*float(nrow); 08057 double qyx1 = syx1 - sx1*sy / dn; 08058 double qyx2 = syx2 - sx2*sy / dn; 08059 double qx1x2 = 0.0; 08060 double qx1 = sx1q - sx1*sx1 / dn; 08061 double qx2 = sx2q - sx2*sx2 / dn; 08062 double qy = syq - sy*sy / dn; 08063 double c = qx1*qx2 - qx1x2*qx1x2; 08064 if ( c > FLT_EPSILON ) { 08065 double b1 = (qyx1*qx2 - qyx2*qx1x2) / c; 08066 double b2 = (qyx2*qx1 - qyx1*qx1x2) / c; 08067 double a = (sy - b1*sx1 - b2*sx2) / dn; 08068 double d = a + b1 + b2; 08069 for (int i=1; i<=nrow; i++) { 08070 qy = d; 08071 row = data + (i-1)*nsam - 1; 08072 for (int k=1; k<=nsam; k++) { 08073 row[k] -= static_cast<float>(qy); 08074 qy += b1; 08075 } 08076 d += b2; 08077 } 08078 } // image not altered if c is zero 08079 08080 image->update(); 08081 }
const string RampProcessor::NAME = "filter.ramp" [static] |