xmipp3.protocols.protocol_eliminate_empty_images module
- class xmipp3.protocols.protocol_eliminate_empty_images.XmippProtEliminateEmptyBase(**args)[source]
Bases:
ProtClassify2D
Base to eliminate images using statistical methods (variance of variances of sub-parts of input image) eliminates those samples, where there is no object/particle (only noise is presented there). Threshold parameter can be used for fine-tuning the algorithm for type of data.
- class xmipp3.protocols.protocol_eliminate_empty_images.XmippProtEliminateEmptyClasses(**args)[source]
Bases:
XmippProtEliminateEmptyBase
Takes a set of classes (or averages) and using statistical methods (variances of sub-parts of input image) eliminates those samples, where there is no object/particle (only noise is presented there). Threshold parameter can be used for fine-tuning the algorithm for type of data. Also discards classes with less population than a given percentage.
- class xmipp3.protocols.protocol_eliminate_empty_images.XmippProtEliminateEmptyParticles(**args)[source]
Bases:
XmippProtEliminateEmptyBase
Takes a set of particles and using statistical methods (variance of variances of sub-parts of input image) eliminates those samples, where there is no object/particle (only noise is presented there). Threshold parameter can be used for fine-tuning the algorithm for type of data.