IMP::em::CoarseConvolution Class Reference

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Detailed Description

Convolutes two grids.

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

Static Public Member Functions
static float	convolution (const DensityMap &em_map, DensityMap &model_map, float voxel_data_threshold, bool recalc_ccnormfac=true)

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Member Function Documentation

static float IMP::em::CoarseConvolution::convolution	(	const DensityMap &	em_map,
		DensityMap &	model_map,
		float	voxel_data_threshold,
		bool	recalc_ccnormfac = true
	)			[static]

Cross correlation coefficient between the em density and the density of a model. moddens threshold can be specified that is checked in moddens to reduce elements of summation

Note:

This is not the local CC function

Parameters:

[in]	em_map	the target map (experimentally determined)
[in]	model_map	the sampled density map of the model
[in]	voxel_data_threshold	voxels with value lower than threshold in model_map are not summed (avoid calculating correlation on voxels below the threshold)
[in]	recalc_ccnormfac	determines wheather the model_map should be normalized prior to the correlation calculation. false is faster, but potentially innacurate

Returns:

the convolution value between two density maps

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

• CoarseConvolution.h
• em/__init__.py