Color Image Segmentation
This is the implementation of the algorithm described in 
D. Comaniciu, P. Meer, 
Robust Analysis of Feature Spaces: Color Image Segmentation,
http://www.caip.rutgers.edu/~meer/RIUL/PAPERS/feature.ps.gz
appeared in Proceedings of CVPR'97, San Juan, Puerto Rico.
===========================================================================
=====      Module: README
===== -------------------------------------------------------------- ======
=====      Version 01   Date: 04/22/97
===== -------------------------------------------------------------- ======
===========================================================================
=====      Written by Dorin Comaniciu
=====      e-mail:  comanici@caip.rutgers.edu
===========================================================================
Permission to use, copy, or modify this software and its documentation
for educational and research purposes only is hereby granted without
fee, provided that this copyright notice appear on all copies and
related documentation.  For any other uses of this software, in original
or modified form, including but not limited to distribution in whole
or in part, specific prior permission must be obtained from
the author(s).

THE SOFTWARE IS PROVIDED "AS-IS" AND WITHOUT WARRANTY OF ANY KIND,
EXPRESS, IMPLIED OR OTHERWISE, INCLUDING WITHOUT LIMITATION, ANY
WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE.

IN NO EVENT SHALL RUTGERS UNIVERSITY BE LIABLE FOR ANY SPECIAL,
INCIDENTAL, INDIRECT OR CONSEQUENTIAL DAMAGES OF ANY KIND, OR ANY
DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
WHETHER OR NOT ADVISED OF THE POSSIBILITY OF DAMAGE, AND ON ANY
THEORY OF LIABILITY, ARISING OUT OF OR IN CONNECTION WITH THE USE
OR PERFORMANCE OF THIS SOFTWARE.
===========================================================================

Source is available from
  http://www.caip.rutgers.edu/~meer/RIUL/uploads.html

This is an alpha version of the code.
The code works with ppm images only.

The package contains the following files:

  README       - this file
  segm_main.cc - input/output operations
  segm.cc      - the segmenter
  segm.hh      - the header file

To compile use:
  g++ -O2 -o segm segm.cc segm_main.cc -lm

I tested the code on:
  IRIX Release 5.3 IP22 (Silicon Graphics)
  SunOS 5.5 Generic sun4u
  Digital UNIX V4.0 (Rev. 386)

In addition, the code can be compiled with the CC compiler on 
  SunOS 5.5 Generic sun4u
using:
  CC  -O2 -o segm segm.cc segm_main.cc -lm

Usage: 
  segm image_name.ppm

This version of the code offers three segmentation classes, called
  Undersegmentation - lowest resolution       (u)
  Oversegmentation  - intermediate resolution (o)
  Quantization      - highest resolution      (q)

In addition, the program detects the most important color inside 
one or more given windows (w).

The output consists of 2 images: 
  result.ppm - the segmented version of the input image;
  result.pgm - the associated contour image.

The output is displayed using the xv.

Please send questions or/and comments to
  comanici@caip.rutgers.edu