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3D rendering engine. Plus modelling. Expected glsl textures 3d and 2d rendering3D primitives, and a lot of scenes' samples to test.+ Game Jogl reworked, Calculator (numbers and vectors). Java code parser implementation starts (<=1.2)

The newest version!

Snakes in DIPimage
==================

This set of functions shows how to:
 - Create a new MATLAB class using a single file.
 - Make DIPimage understand the new class.
 - Write a function that uses GETPARAMS to parse input arguments
   containing an object of the new class.
 - Implement snakes to find borders in an image.


Usage:
------

To use these files you need MATLAB v7.6 or newer and DIPimage v2.0 or
newer. Copy the two M-files SNAKEMINIMIZE and DIP_SNAKE to the
"dip/common/dipimage/" directory and the M-file PRIVATE/PARAMTYPE_SNAKE
to "dip/common/dipimage/private/". You might need to CLEAR FUNCTIONS
before you can use these functions. To avoid the error generated when
starting up the DIPimage GUI, you can edit the file
"dip/common/dipimage/dipmenus.GMatrix", adding the string 'dip_snake' to the
EXCLUDELIST cell array.

   NOTE: If you have a version of DIPimage newer than v2.1, you will be
   overwriting an existing SNAKEMINIMIZE function (it is in the
   development tree at the moment of this writing). This existing
   function does the same thing, but without the DIP_SNAKE class. The
   functions SNAKEDRAW, SNAKE2IM and IM2SNAKE will be superseded by
   functionality in the DIP_SNAKE class. The functions VFC and GVF will
   still be useful with this version of SNAKEMINIMIZE. We chose to use
   an implementation in DIPimage that doesn't depend on the new-style
   class definitions in MATLAB, for backwards compatability.

DIP_SNAKE creates an object of that class. This object automatically
draws to the current figure if there is no semicolon at the end of the
statement. Several class methods are available, see HELP DIP_SNAKE.

Once the object is created, it can be deformed with the function
SNAKEMINIMIZE. See the function's help for a description of the
parameters.


Example:
--------

a = noise(50+100*gaussf(rr>85,2),'gaussian',20)
f = gradient(gradmag(a,5));
f = f./max(norm(f));
x = 100+30*cos(0:0.1:2*pi); y = 150+40*sin(0:0.1:2*pi);
s = dip_snake([x',y'])
s = snakeminimize(s,f,0.01,100,3,0.3,20)
s = snakeminimize(s,f,0.01,100,3,0.3,20)
s = snakeminimize(s,f,0.01,100,3,0.3,20)
s = snakeminimize(s,f,0.01,100,3,0.3,20)
s = snakeminimize(s,f,0.01,100,3,0.3,20)


License:
--------

Copyright (c) 2009-2010, Cris Luengo
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:

    * Redistributions of source code must retain the above copyright
      notice, this list of conditions and the following disclaimer.
    * Redistributions in binary form must reproduce the above copyright
      notice, this list of conditions and the following disclaimer in
      the documentation and/or other materials provided with the
      distribution.
    * Neither the name of the author nor the names of his employers
      may be used to endorse or promote products derived from this
      software without specific prior written permission.

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