Beispiel #1
0
def acfnpl(e, center=True):
	"""
		Name
			acfnpl - calculate the normalized autocorrelation function of an image
		Input
			e: input image (real)
			center: if set to True (default), the origin of the result is at the center; if set to False, the origin is at (0,0).
		Output
			autocorrelation function of the input image. Real. 
	"""
	from EMAN2 import autocorrelation, fp_flag
	return autocorrelation(e, fp_flag.PADDED_NORMALIZED_LAG, center)
Beispiel #2
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def acf(e, center=True):
	"""
		Name
			acf - calculate the circulant autocorrelation function of an image
		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; if set to False, the origin is at (0,0).
		Output
			circulant autocorrelation function of the input image. Real.
	"""
	from EMAN2 import autocorrelation, fp_flag
	return autocorrelation(e, fp_flag.CIRCULANT, center)
Beispiel #3
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def acfnpl(e, center=True):
	"""
		Name
			acfnpl - calculate the normalized autocorrelation function of an image
		Input
			e: input image (real)
			center: if set to True (default), the origin of the result is at the center; if set to False, the origin is at (0,0).
		Output
			autocorrelation function of the input image. Real. 
	"""
	from EMAN2 import autocorrelation, fp_flag
	return autocorrelation(e, fp_flag.PADDED_NORMALIZED_LAG, center)
Beispiel #4
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def acf(e, center=True):
	"""
		Name
			acf - calculate the circulant autocorrelation function of an image
		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; if set to False, the origin is at (0,0).
		Output
			circulant autocorrelation function of the input image. Real.
	"""
	from EMAN2 import autocorrelation, fp_flag
	return autocorrelation(e, fp_flag.CIRCULANT, center)
Beispiel #5
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def acfp(e, center=True):
	from EMAN2 import autocorrelation, fp_flag
	return autocorrelation(e, fp_flag.PADDED, center)
Beispiel #6
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def acfp(e, center=True):
	from EMAN2 import autocorrelation, fp_flag
	return autocorrelation(e, fp_flag.PADDED, center)