def makeTestImages():
dip = 30.0
shift = 16
n1,n2 = 501,501; f = FakeData.seismic2d2011A(n1,n2,dip)
#n1,n2 = 462,951; f = readImage("/data/seis/f3d/f3d75.dat",n1,n2)
f = sub(f,sum(f)/n1/n2)
#w = Warp2.constant(shift,0.0,n1,n2)
w = Warp2.sinusoid(shift,0.0,n1,n2)
g = w.warp(f)
f = addNoise(nrms,f,seed=10*seed+1)
g = addNoise(nrms,g,seed=10*seed+2)
s = zerofloat(n1,n2)
for i2 in range(n2):
for i1 in range(n1):
s[i2][i1] = w.u1x(i1,i2)
return f,g,s
def flatten():
#f = readImage(ffile)
f = FakeData.seismic2d2011A(n1,n2,45)
plot(f)
#sigma = 8.0
sigma = 1.0
pmax = 10.0
lsf = LocalSlopeFinder(sigma,pmax)
sigma1 = 6.0
sigma2 = 12.0
for fl in [FlattenerCg(sigma1,sigma2)]:
p2 = zerofloat(n1,n2)
el = zerofloat(n1,n2)
lsf.findSlopes(f,p2,el)
el = pow(el,6)
#plot(el,gray)
#plot(p2,gray,-1,1)
s = fl.findShifts(p2,el)
g = fl.applyShifts(f,s)
plot(g)
plot(s,jet)
print "average shift =",sum(s)/(n1*n2),"samples"
def flatten():
#f = readImage(ffile)
f = FakeData.seismic2d2011A(n1, n2, 45)
plot(f)
#sigma = 8.0
sigma = 1.0
pmax = 10.0
lsf = LocalSlopeFinder(sigma, pmax)
sigma1 = 6.0
sigma2 = 12.0
for fl in [FlattenerCg(sigma1, sigma2)]:
p2 = zerofloat(n1, n2)
el = zerofloat(n1, n2)
lsf.findSlopes(f, p2, el)
el = pow(el, 6)
#plot(el,gray)
#plot(p2,gray,-1,1)
s = fl.findShifts(p2, el)
g = fl.applyShifts(f, s)
plot(g)
plot(s, jet)
print "average shift =", sum(s) / (n1 * n2), "samples"