BOOSTFeature.filter

BOOSTFeature.filter(**kwargs: Any) → BaseFeature2D

Filter features

Parameters:

kwargs – the filter parameters

Returns:

sorted features

Return type:

BaseFeature2D instance

The filter is defined by arguments:

argument	value	select if
scale	(minimum, maximum)	minimum <= scale <= maximum
minscale	minimum	minimum <= scale
maxscale	maximum	scale <= maximum
strength	(minimum, maximum)	minimum <= strength <= maximum
minstrength	minimum	minimum <= strength
percentstrength	percent	strength >= percent * max(strength)
nstrongest	N	strength

Example:

>>> from machinevisiontoolbox import Image
>>> orb = Image.Read("eiffel-1.png").ORB()
>>> len(orb)
500
>>> orb2 = orb.filter(minstrength=0.001)
>>> len(orb2)
407

Note

If value is a range the numpy.Inf or -numpy.Inf can be used as values.