IMP  2.0.1
The Integrative Modeling Platform
IMP::em::CoarseCC Class Reference

Responsible for performing coarse fitting between two density objects. More...

#include <IMP/em/CoarseCC.h>

+ Inheritance diagram for IMP::em::CoarseCC:

Static Public Member Functions

static double cross_correlation_coefficient (const DensityMap *grid1, const DensityMap *grid2, float grid2_voxel_data_threshold, bool allow_padding=false, FloatPair norm_factors=FloatPair(0., 0.))
 Calculates the cross correlation coefficient between two maps. More...
 
static float local_cross_correlation_coefficient (const DensityMap *em_map, DensityMap *model_map, float voxel_data_threshold)
 Local cross correlation function.
 

Related Functions

(Note that these are not member functions.)

static float calc_score (DensityMap *data, SampledDensityMap *model_map, float scalefactor, bool recalc_rms=true, bool resample=true, FloatPair norm_factors=FloatPair(0., 0.))
 Calculates the value of the EM fitting term. More...
 

Additional Inherited Members

- Public Member Functions inherited from IMP::base::Object
virtual void clear_caches ()
 
virtual IMP::base::VersionInfo get_version_info () const =0
 Get information about the module and version of the object.
 
void set_check_level (CheckLevel l)
 
void set_log_level (LogLevel l)
 Set the logging level used in this object. More...
 
void set_was_used (bool tf) const
 
void show (std::ostream &out=std::cout) const
 
const std::string & get_name () const
 
void set_name (std::string name)
 
- Protected Member Functions inherited from IMP::base::Object
 Object (std::string name)
 Construct an object with the given name. More...
 

Detailed Description

The pixels involved are derived from the positions of N particles.

Definition at line 28 of file CoarseCC.h.

Member Function Documentation

static double IMP::em::CoarseCC::cross_correlation_coefficient ( const DensityMap grid1,
const DensityMap grid2,
float  grid2_voxel_data_threshold,
bool  allow_padding = false,
FloatPair  norm_factors = FloatPair(0., 0.) 
)
static

Cross correlation coefficient between the em density and the density of a model. The function applied is: \(\frac{\sum_{i=1}^{N}{{td}_i}{{md}_i}-{N} {{mean}_{td}} {{mean}_{md}}} {N\sigma_{{td}}\sigma_{{md}}}\), such that \(N\) is the number of voxels, \({td}\) is the target density, \({tm}\) is the model density,

Parameters
[in]grid1The first 3D grid
[in]grid2The second 3D grid
[in]grid2_voxel_data_thresholdvoxels with value lower than threshold in grid2 are not summed (avoid calculating correlation on voxels below the threshold
[in]allow_paddingdetermines wheather the two maps should be padded to have the same size before the calcualtion is performed. If set to false and the grids are not of the same size, the function will throw an exception.
[in]norm_factorsif set these precacluated terms are used for normalization
Returns
the cross correlation coefficient value between two density maps
Note
This is not the local CC function

Friends And Related Function Documentation

static float calc_score ( DensityMap data,
SampledDensityMap model_map,
float  scalefactor,
bool  recalc_rms = true,
bool  resample = true,
FloatPair  norm_factors = FloatPair(0., 0.) 
)
related
Note
The function returns scalefac*(1-ccc) to support minimization optimization. The ccc value (cross correlation coefficient) is calculate by the cross_correlation_coefficient function.
Parameters
[in]dataDensityMap class containing the EM map. note: correct RMSD and mean MUST be in the header!
[in]model_mapSampledDensityMap class prepared to contain the simulated EM map for the model.
[in]scalefactorscale factor to apply to the value of the cross correlation term
[in]recalc_rmsdetermines wheather the RMS of both maps should be recalcualted prior to the correlation calculation. False is faster, but potentially innacurate
[in]resampleif true, the model density map is resampled
[in]norm_factorsif set these precalcualted terms are used for normalization
Returns
the value of the cross correlation term: scalefac*(1-ccc)

The documentation for this class was generated from the following file: