def __init__(self, k, xdata, ydata):
"""
xdata is linear from the CTF
ydata is the normalized CTF with range 0 -> 1 and mean 0.5
k is the shift as published in:
Park et al., IEEE Trans on Instr. and Meas. v 60#8, Aug 2011
DOI: 10.1109/TIM.2011.2121231
ydata ~= sin ( xdata^2 * freq + phi)
"""
self.k = k
self.xdata = xdata
self.ydata = ydata
self.xdatasq = self.xdata**2
xfull = self.xdatasq.max() - self.xdatasq.min()
self.sampling = xfull/float(len(self.xdata))
self.xmax = self.sampling * len(self.xdata)**2
print "Max X", self.xmax
print "X sampling", self.sampling
print "X data", len(self.xdata)
imagestat.printImageInfo(self.xdata)
print "X data^2", len(self.xdatasq)
imagestat.printImageInfo(self.xdatasq)
print "Y data", len(self.ydata)
imagestat.printImageInfo(self.ydata)
def __init__(self, k, xdata, ydata):
"""
xdata is linear from the CTF
ydata is the normalized CTF with range 0 -> 1 and mean 0.5
k is the shift as published in:
Park et al., IEEE Trans on Instr. and Meas. v 60#8, Aug 2011
DOI: 10.1109/TIM.2011.2121231
ydata ~= sin ( xdata^2 * freq + phi)
"""
self.k = k
self.xdata = xdata
self.ydata = ydata
self.xdatasq = self.xdata**2
xfull = self.xdatasq.max() - self.xdatasq.min()
self.sampling = xfull / float(len(self.xdata))
self.xmax = self.sampling * len(self.xdata)**2
print "Max X", self.xmax
print "X sampling", self.sampling
print "X data", len(self.xdata)
imagestat.printImageInfo(self.xdata)
print "X data^2", len(self.xdatasq)
imagestat.printImageInfo(self.xdatasq)
print "Y data", len(self.ydata)
imagestat.printImageInfo(self.ydata)
%(fieldsize, count, apDisplay.timeString(time.time()-t0)))
return poweravg, freq
#===================
#===================
#===================
if __name__ == "__main__":
a = mrc.read("/home/vosslab/test.mrc")
a = imagefilter.planeRegression(a)
fullpower = imagefun.power(a)
#imagestat.printImageInfo(a)
t0 = time.time()
x = numpy.arange(6, 13)
N = 2**x
print N
for n in N:
print "====================================="
b = power(a, n)
b = imagefilter.frame_cut(b, numpy.array(b.shape)/2)
imagefile.arrayToPng(b, "%04d-field.png"%(n))
imagestat.printImageInfo(b)
bin = int(round(2**12/n))
b = imagefun.bin2(fullpower, bin)
b = imagefilter.frame_cut(b, numpy.array(b.shape)/2)
imagefile.arrayToPng(b, "%04d-binned.png"%(n))
imagestat.printImageInfo(b)
print "complete in %s"%(apDisplay.timeString(time.time()-t0))
#imagestat.printImageInfo(b)
