def test_6_highPass(self):
'''highPassFilter Normalization: ...................................'''
ilog = None
if 'ilog' in list(globals().keys()):
ilog = globals()['ilog']
norm = pv.highPassFilter(self.tile,10.0)
if ilog != None:
ilog.log(norm,label="highPass_Normalization")
mat = norm.asMatrix2D()
self.assertAlmostEqual(mat.mean(),0.0,delta=0.001)
self.assertAlmostEqual(mat.std(),22.936873341661158,delta=0.01)
def test_6_highPass(self):
'''highPassFilter Normalization: ...................................'''
ilog = None
if 'ilog' in list(globals().keys()):
ilog = globals()['ilog']
norm = pv.highPassFilter(self.tile, 10.0)
if ilog != None:
ilog.log(norm, label="highPass_Normalization")
mat = norm.asMatrix2D()
self.assertAlmostEqual(mat.mean(), 0.0, delta=0.001)
self.assertAlmostEqual(mat.std(), 22.936873341661158, delta=0.01)
def test_6_highPass(self):
'''highPassFilter Normalization: ...................................'''
ilog = None
if 'ilog' in globals().keys():
ilog = globals()['ilog']
norm = pv.highPassFilter(self.tile,10.0)
if ilog != None:
ilog.log(norm,label="highPass_Normalization")
mat = norm.asMatrix2D()
self.assertAlmostEqual(mat.mean(),0.0,places=4)
self.assertAlmostEqual(mat.std(),22.935605337280723,places=3)
def test_7_veryHighPass(self):
'''highPassFilter Normalization: sigma = 1.5........................'''
ilog = None
if 'ilog' in list(globals().keys()):
ilog = globals()['ilog']
# This setting corsponds to the default gaussian in selfQuotient
norm = pv.highPassFilter(self.tile,1.5)
if ilog != None:
ilog.log(norm,label="veryHighPass_Normalization")
mat = norm.asMatrix2D()
self.assertAlmostEqual(mat.mean(),0.0,delta=4)
self.assertAlmostEqual(mat.std(),8.0027218003238687,delta=0.01)
def test_7_veryHighPass(self):
'''highPassFilter Normalization: sigma = 1.5........................'''
ilog = None
if 'ilog' in list(globals().keys()):
ilog = globals()['ilog']
# This setting corsponds to the default gaussian in selfQuotient
norm = pv.highPassFilter(self.tile, 1.5)
if ilog != None:
ilog.log(norm, label="veryHighPass_Normalization")
mat = norm.asMatrix2D()
self.assertAlmostEqual(mat.mean(), 0.0, delta=4)
self.assertAlmostEqual(mat.std(), 8.0027218003238687, delta=0.01)