Python self_correlation Beispiele

Beispiel #1

Datei: fundamentals.py Projekt: CVL-dev/StructuralBiology

def scfnpl(e, center=True):
	"""
		Name
			scfnpl - calculate the normalized self-correlation function of an image
		Input
			e: input image (real)
			center: if set to True (default), the origin of the result is at the center
		Output
			self-correlation function of the input image. Real.
	"""
	from EMAN2 import self_correlation, fp_flag
	return self_correlation(e, fp_flag.PADDED_NORMALIZED_LAG, center)

Beispiel #2

def scfnpl(e, center=True):
	"""
		Name
			scfnpl - calculate the normalized self-correlation function of an image
		Input
			e: input image (real)
			center: if set to True (default), the origin of the result is at the center
		Output
			self-correlation function of the input image. Real.
	"""
	from EMAN2 import self_correlation, fp_flag
	return self_correlation(e, fp_flag.PADDED_NORMALIZED_LAG, center)

Beispiel #3

Datei: fundamentals.py Projekt: CVL-dev/StructuralBiology

def scfn(e, center=True):
	"""
		Name
			scfn - calculate the normalized circulant self-correlation function
		Input
			e: input image, can be either real or Fourier
			center: if set to True (default), the origin of the result is at the center
		Output
			normalized circulant self-correlation function of an input image. Real.
	"""
	from EMAN2 import self_correlation, fp_flag
	return self_correlation(e, fp_flag.CIRCULANT_NORMALIZED, center)

Beispiel #4

def scfn(e, center=True):
	"""
		Name
			scfn - calculate the normalized circulant self-correlation function
		Input
			e: input image, can be either real or Fourier
			center: if set to True (default), the origin of the result is at the center
		Output
			normalized circulant self-correlation function of an input image. Real.
	"""
	from EMAN2 import self_correlation, fp_flag
	return self_correlation(e, fp_flag.CIRCULANT_NORMALIZED, center)