TubeTK/Documentation/EnhanceContrastUsingPrior

  Description: Given an image and a mask, process the image to maximize
  the SNR between the classes indicated by the mask.

USAGE:

  ./EnhanceContrastUsingPrior  [--returnparameterfile <std::string>]
                               [--processinformationaddress <std::string>]
                               [--xml] [--echo] [-S <int>] [-i <int>] [-n
                               <int>] [-o <int>] [-b <float>] [-s <float>]
                               [--] [--version] [-h] <std::string>
                               <std::string> <std::string>

Where:

  --returnparameterfile <std::string>
    Filename in which to write simple return parameters (int, float,
    int-vector, etc.) as opposed to bulk return parameters (image,
    geometry, transform, measurement, table).

  --processinformationaddress <std::string>
    Address of a structure to store process information (progress, abort,
    etc.). (default: 0)

  --xml
    Produce xml description of command line arguments (default: 0)

  --echo
    Echo the command line arguments (default: 0)

  -S <int>,  --seed <int>
    Random number seed (-1 = none). (default: -1)

  -i <int>,  --iterations <int>
    Number of iterations of optimization. (default: 100)

  -n <int>,  --maskBackgroundValue <int>
    Background label value in the mask. (default: 127)

  -o <int>,  --maskObjectValue <int>
    Object label value in the mask. (default: 255)

  -b <float>,  --backgroundScale <float>
    Scale of the background measure. (default: 20)

  -s <float>,  --objectScale <float>
    Scale of the image measure. (default: 1)

  --,  --ignore_rest
    Ignores the rest of the labeled arguments following this flag.

  --version
    Displays version information and exits.

  -h,  --help
    Displays usage information and exits.

  <std::string>
    (required)  Input volume.

  <std::string>
    (required)  Input mask.

  <std::string>
    (required)  Output, contrast-enhanced, image.

  Author(s): Stephen R. Aylward (Kitware)

  Acknowledgements: This work is part of the TubeTK project at Kitware. It
  was funded in part by USC:EXPOSE.