#include <processor.h>
Inheritance diagram for EMAN::NonConvexProcessor:
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. | |
TypeDict | get_param_types () const |
Get processor parameter information in a dictionary. | |
Static Public Member Functions | |
static Processor * | NEW () |
Static Public Attributes | |
static const string | NAME = "math.nonconvex" |
Definition at line 3649 of file processor.h.
string EMAN::NonConvexProcessor::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 3663 of file processor.h.
03664 { 03665 return "Makes a curve or plane monotonically decreasing and non-convex. Useful in generating background curves from power spectra. Anchored at edges and (in 2d) at the center. If local value > mean(surrounding values) => mean(surrounding values)."; 03666 }
string EMAN::NonConvexProcessor::get_name | ( | ) | const [inline, virtual] |
Get the processor's name.
Each processor is identified by a unique name.
Implements EMAN::Processor.
Definition at line 3654 of file processor.h.
References NAME.
03655 { 03656 return NAME; 03657 }
TypeDict EMAN::NonConvexProcessor::get_param_types | ( | ) | const [inline, virtual] |
Get processor parameter information in a dictionary.
Each parameter has one record in the dictionary. Each record contains its name, data-type, and description.
Reimplemented from EMAN::Processor.
Definition at line 3668 of file processor.h.
03669 { 03670 TypeDict d; 03671 /* d.put("mask", EMObject::EMDATA, "mask object: nonzero pixel positions will be used to fit plane. default = 0"); 03672 d.put("changeZero", EMObject::INT, "if zero pixels are modified when removing gradient. default = 0"); 03673 d.put("planeParam", EMObject::FLOATARRAY, "fitted plane parameters output");*/ 03674 return d; 03675 }
static Processor* EMAN::NonConvexProcessor::NEW | ( | ) | [inline, static] |
void NonConvexProcessor::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 2702 of file processor.cpp.
References EMAN::EMData::calc_radial_dist(), EMAN::EMData::copy(), EMAN::EMData::get_data(), EMAN::EMData::get_value_at(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), ImageDimensionException, LOGWARN, EMAN::EMData::process_inplace(), EMAN::EMData::set_complex(), EMAN::EMData::set_fftpad(), EMAN::EMData::set_value_at_fast(), EMAN::EMData::update(), and x.
02702 { 02703 if (!image) { LOGWARN("NULL IMAGE"); return; } 02704 //int isinten=image->get_attr_default("is_intensity",0); 02705 02706 // 1-D 02707 if (image->get_ysize()==1) { 02708 02709 } 02710 // 2-D 02711 else if (image->get_zsize()==1) { 02712 // if (!isinten) throw ImageDimensionException("Only complex intensity images currently supported by NonConvexProcessor"); 02713 int nx2=image->get_xsize()/2; 02714 int ny2=image->get_ysize()/2; 02715 vector<float> rdist = image->calc_radial_dist(nx2*1.5,0,1,false); // radial distribution to make sure nonconvex values decrease radially 02716 // Make sure rdist is decreasing (or flat) 02717 for (int i=1; i<nx2; i++) { 02718 if (rdist[i]>rdist[i-1]) rdist[i]=rdist[i-1]; 02719 } 02720 02721 image->process_inplace("xform.fourierorigin.tocenter"); 02722 EMData* binary=image->copy(); 02723 02724 // First we eliminate convex points from the input image (set to zero) 02725 for (int x=0; x<image->get_xsize(); x+=2) { 02726 for (int y=1; y<image->get_ysize()-1; y++) { 02727 int r=(int)hypot((float)(x/2),(float)(y-ny2)); 02728 float cen=(*binary)(x,y); 02729 if (x==0 || x==nx2*2-2 || (cen>(*binary)(x+2,y) || cen>(*binary)(x-2,y) || cen>(*binary)(x,y+1) || cen >(*binary)(x,y-1) || (*binary)(x,y)>rdist[r])) { // point is considered nonconvex if lower than surrounding values and lower than mean 02730 image->set_value_at_fast(x/2+nx2,y,0.0); // we are turning image into a full real-space intensity image for now 02731 image->set_value_at_fast(nx2-x/2,ny2*2-y-1,0.0); 02732 } 02733 else { 02734 image->set_value_at_fast(x/2+nx2,y,cen); // we are turning image into a full real-space intensity image for now 02735 image->set_value_at_fast(nx2-x/2,ny2*2-y-1,cen); // It will contain non-zero values only for nonconvex points 02736 } 02737 } 02738 } 02739 image->set_value_at_fast(nx2+1,ny2,(*binary)(2,ny2)); // We keep the points near the Fourier origin as a central anchor even though it's convex 02740 image->set_value_at_fast(nx2-1,ny2,(*binary)(2,ny2)); // We keep the points near the Fourier origin as a central anchor even though it's convex 02741 image->set_value_at_fast(nx2,ny2+1,(*binary)(0,ny2+1)); // We keep the points near the Fourier origin as a central anchor even though it's convex 02742 image->set_value_at_fast(nx2,ny2-1,(*binary)(0,ny2-1)); // We keep the points near the Fourier origin as a central anchor even though it's convex 02743 for (int y=0; y<ny2*2; y++) image->set_value_at_fast(0,y,0.0f); 02744 02745 // Now make a binary version of the convex points 02746 float *idat=image->get_data(); 02747 float *bdat=binary->get_data(); 02748 int nxy=(nx2*ny2*4); 02749 for (int i=0; i<nxy; i++) { 02750 bdat[i]=idat[i]==0?0:1.0; // binary version of the convex points in image 02751 } 02752 binary->update(); 02753 02754 // We now use a Gaussian filter on both images, to use Gaussian interpolation to fill in zero values 02755 image->set_complex(false); // so we can use a Gaussian filter on it 02756 binary->set_complex(false); 02757 02758 /* image->write_image("con.hdf",0);*/ 02759 image->set_fftpad(false); 02760 binary->set_fftpad(false); 02761 02762 // Gaussian blur of both images 02763 image->process_inplace("filter.lowpass.gauss",Dict("cutoff_abs",0.04f)); 02764 binary->process_inplace("filter.lowpass.gauss",Dict("cutoff_abs",0.04f)); 02765 02766 /* image->write_image("con.hdf",1); 02767 binary->write_image("con.hdf",2);*/ 02768 02769 for (int x=0; x<image->get_xsize(); x+=2) { 02770 for (int y=0; y<image->get_ysize(); y++) { 02771 float bv=binary->get_value_at(x/2+nx2,y); 02772 image->set_value_at_fast(x,y,image->get_value_at(x/2+nx2,y)/(bv<=0?1.0:bv)); 02773 image->set_value_at_fast(x+1,y,0.0); 02774 } 02775 } 02776 image->set_complex(true); 02777 image->set_fftpad(true); 02778 image->process_inplace("xform.fourierorigin.tocorner"); 02779 delete binary; 02780 } 02781 else throw ImageDimensionException("3D maps not yet supported by NonConvexProcessor"); 02782 02783 }
const string NonConvexProcessor::NAME = "math.nonconvex" [static] |