Posts Tagged lib

ngeotc

More to come.

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nsfs

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nappear

More to come.

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levset

This library contains classes that implement 2D/3D levelsets (full and narrow-band).

Features:

  • explicit and implicit schemes for basic evolution equations.
  • marching squares/cubes to obtain a surface.
  • fast marching method (FMM) for re-initialization
  • loading/saving data

There are also SIP python bindings, making it easy to prototype a solution. For example, to perform chen-vese segmentation, you would define a function that defines the evolution:

# evolution function, returns how much to move and maximum time step.
def fun(levset, image, stats, x, y):
l, d, k = levset(x,y), dirac(levset[x,y],2.0), levset.getCurvature(x,y)
pix = (image.pixel(x,y)&0xFF)/255.0

pin, pout = (pix-stats[0])**2, (pix-stats[1])**2
upd = d*(ak*k+(pin-pout))

return (upd, 0.98/(math.fabs(d*(2.0*ak/(xsp*xsp)+2.0*ak/(ysp*ysp))) + 0.01))

And then you would interleave this function call (bound with extra parameters using a lambda function), with the levelset motion and re-initialization calls


func = lambda levset,x,y: fun(levset, self.image, stats, x, y)
while not done:
stats = computeStats()
for i in xrange(0,3):
levset.moveWithCurvature(func)
levset.ensureSignedDistanceFMM()
#...

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nmath

Basic math and vector routines. Features:

  • Special classes for common vector/matrix sizes. General matrix class with interface to lapack for numerical routines.
  • Minpack for non-linear least squares.
  • Smart pointered data; all copies are shallow.
  • Python interface.

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nimage

Basic c++ image library. Features:

  • Templated image classes (integer, floating)
  • Smart-pointered; copies are all shallow.
  • Plugins for input/output (jpeg, png, movies)
  • Basic filtering operations (signed distance function).
  • Python wrappers.

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