NAME

     randomgraph2d - Construct a random neighborhood  system  for
     texture analysis

SYNOPSIS

     randomgraph2d  [  -numtrc  number_of_traces  ]   [   -numsmp
     number_of_samples  ] [ -coarse coarse ] [ -halfwin halfwin ]
     [ -fmat fmat_file ] [ -bmat bmat_file ] [ -? ]

DESCRIPTION

     randomgraph2d This program constructs the forward index  and
     backward  index  used  to create a random graph neighborhood
     system.  The forward index and backward index  generated  in
     this  program  are used by the program disparity and the the
     program bethe.

     The programs disparity2d and bethe2d, use a method based  on
     De Bruijn's graph to generate random neighbors in the random
     graph neighborhood system  (see  Graffigne,  1987  for  more
     details).

     randomgraph2d gets all  its  parameters  from  command  line
     arguments.  These arguments specify the input, output, etc.

COMMAND LINE ARGUMENTS

     -numtrc number_of_traces
          number of traces in the file containing the  data  lat-
          tice. The data lattice is the input to the segmentation
          process.

     -numsmp number_of_samples
          number of samples per trace in the file containing  the
          data  lattice.   The  data  lattice is the input to the
          segmentation process.

     -coarse coarseness
          inverse of the resolution at which the segmentation  is
          performed.   That  is,  the  ratio  of  the  number  of
          samples/traces in the data lattice  to  the  number  of
          samples/traces  in the label lattice. The label lattice
          is the output from any segmentation optimizer, such  as
          the  program  bethe.   For  highest  resolution set the
          coarseness to 1.  (Default: 9)

     -halfwin half_win_size
          half window width used to determine the  width  of  the
          texture  analysis  window over which the cdf's are com-
          puted in the program disparity.  The width of the  tex-
          ture analysis window is given by 2 * half_win_size + 1.
          (Default: 7)


     -fmat fifn
          the output file containing the forward index

     -bmat bifn
          the output file containing the backward index

     -? -h -help
          Help.

See Also

     texture2d,  bethe2d,   cogeom2d,   combine2d,   disparity2d,
     texstat2d, brightsizing

REFERENCES

     Crawford,  Kelly,  and  Marfurt,  Kurt,  1997.   2D  Texture
     Analysis:   A  User's  Guide, Amoco Geoscience Research Bul-
     letin F97-G-14.

     Hoelting, Cory and Kelly, Ken, 1996.   Texture  Analysis  of
     Spectral  Decomposition Data Using a Segmentation Algorithm,
     Amoco Geoscience Research Bulletin F96-G-21.

     Matheney, Mike and Kelly, Ken, 1995.  Texture-Based  Segmen-
     tation  of  3-D Seismic Data, Amoco Geoscience Research Bul-
     letin F95-G-29.

     Graffigne, Christine, 1987.  Experiments in Texture Analysis
     and  Segmentation,  Ph.D.   dissertation,  p.  48,  Division
     Applied Mathematics, Brown Univ.

CONTRACT AGREEMENT

     This product is brought to you by  Research  Agreement  #548
     (The Seismic Coherency Cube). Thank you for your support!

AUTHOR

     Cory Hoelting and Ken Kelly (E&PTG, Tulsa, OK, USA).

COPYRIGHT

     copyright 2001, Amoco Production Company
               All Rights Reserved
          an affiliate of BP America Inc.