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)