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Camellia

Image Processing & Computer Vision library (v2.7.0)

Install / Use

/learn @sigmike/Camellia
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Camellia Image Processing Library

CAMELLIA : Core for Ambient and Mobile intELLigent Imaging Applications.
Camellia E.U. Project.

==========================================================================

UNIX / LINUX : 
./configure
make
./cam_demo (test. requires resources directory)
make install (requires administrator privileges)

Windows :
A Visual Studio 6 project file is provided, that creates the camellia.lib library and the demo application.
A VC++ Express "solution" is also provided.

The Camellia Image Processing Library is an open source low-level image processing library.
As it uses the IplImage structure to describe images, it is a good replacement to the IPL (Intel) library
and a good complement to the OpenCV library. It includes a lot of functions for image processing
(filtering, morphological mathematics, labelling, warping, loading/saving images, etc.),
some of them being highly optimized; It is also cross-platform and robust. It is doxygen-documented
and examples of use are provided.

This software library is an outcome of the Camellia european project (IST-2001-34410).
It was developped by the Ecole des Mines de Paris (ENSMP), in coordination with
the other partners of the projects.

==========================================================================

Ruby
  To build the extension:
    cd ext
    ruby extconf.rb
    make
  
  To build the Linux gem:
    gem build ext/camellia-linux.gemspec

==========================================================================

Copyright (c) 2002-2007, Ecole des Mines de Paris - Centre de Robotique
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 Ecole des Mines de Paris nor the names of
      its contributors may be used to endorse or promote products
      derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, 
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR 
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

==========================================================================

Related Skills

View on GitHub
GitHub Stars16
CategoryDevelopment
Updated17d ago
Forks5

Languages

C

Security Score

75/100

Audited on Mar 12, 2026

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