def correlationCoefficient(x, y, mask=None):
"""
calcualate the correlation coefficient of two numpys
"""
if x.shape != y.shape:
apDisplay.printError(
"images are not the same shape in correlation calc")
if mask != None:
if x.shape != mask.shape:
apDisplay.printError(
"mask is not the same shape as images in correlation calc")
tot = mask.sum()
if tot == 0:
return 0.0
x = imagenorm.normStdevMask(x, mask)
y = imagenorm.normStdevMask(y, mask)
else:
tot = float(x.shape[0] * x.shape[1])
x = imagenorm.normStdev(x)
y = imagenorm.normStdev(y)
z = x * y
if mask != None:
z = z * mask
sm = z.sum()
return sm / tot
def msd(x,y,mask=None):
if mask != None:
tot = float(mask.sum())
if tot == 0:
return 1.0e13
x = imagenorm.normStdevMask(x,mask)
y = imagenorm.normStdevMask(y,mask)
else:
tot = float(x.shape[0]*x.shape[1])
x = imagenorm.normStdev(x)
y = imagenorm.normStdev(y)
z = (x-y)**2
if mask != None:
z = z*mask
sm = z.sum()
return sm/tot
def msd(x, y, mask=None):
if mask != None:
tot = float(mask.sum())
if tot == 0:
return 1.0e13
x = imagenorm.normStdevMask(x, mask)
y = imagenorm.normStdevMask(y, mask)
else:
tot = float(x.shape[0] * x.shape[1])
x = imagenorm.normStdev(x)
y = imagenorm.normStdev(y)
z = (x - y)**2
if mask != None:
z = z * mask
sm = z.sum()
return sm / tot
def correlationCoefficient(x,y,mask=None):
"""
calcualate the correlation coefficient of two numpys
"""
if x.shape != y.shape:
apDisplay.printError("images are not the same shape in correlation calc")
if mask != None:
if x.shape != mask.shape:
apDisplay.printError("mask is not the same shape as images in correlation calc")
tot = mask.sum()
if tot == 0:
return 0.0
x = imagenorm.normStdevMask(x,mask)
y = imagenorm.normStdevMask(y,mask)
else:
tot = float(x.shape[0]*x.shape[1])
x = imagenorm.normStdev(x)
y = imagenorm.normStdev(y)
z = x*y
if mask != None:
z = z*mask
sm = z.sum()
return sm/tot