a generic C++ library for image analysis.zip

VIGRA Computer Vision Library ============================= [](https://dev.azure.com/ullrichkoethe/vigra/_build/latest?definitionId=1) Copyright 1998-2013 by Ullrich Koethe This file is part of the VIGRA computer vision library. You may use, modify, and distribute this software according to the terms stated in the LICENSE.txt file included in the VIGRA distribution. The VIGRA Website is http://ukoethe.github.io/vigra/ Please direct questions, bug reports, and contributions to ullrich.koethe@iwr.uni-heidelberg.de or vigra@informatik.uni-hamburg.de THIS SOFTWARE IS PROVIDED AS IS AND WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, WITHOUT LIMITATION, THE IMPLIED WARRANTIES OF MERCHANTIBILITY AND FITNESS FOR A PARTICULAR PURPOSE. Installation ------------ Installation instructions can be found in the file ``` $VIGRA_PATH/doc/vigra/Installation.html ``` If the documentation has not yet been generated (e.g. when you build from a development snapshot), you find these instructions in ``` $VIGRA_PATH/docsrc/installation.dxx ``` or online at http://ukoethe.github.io/vigra/doc-release/vigra/Installation.html Documentation ------------- If you downloaded an official release, the documentation can be found in `$VIGRA_PATH/doc/vigra/`, the start file is `$VIGRA_PATH/doc/vigra/index.html` or online at http://ukoethe.github.io/vigra/#documentation. When you use the development version from github, you can generate documentation by `make doc`. Download -------- VIGRA can be downloaded at http://ukoethe.github.io/vigra/#download. The official development repository is at https://github.com/ukoethe/vigra What is VIGRA ------------- VIGRA is a computer vision library that puts its main emphasis on flexible algorithms, because algorithms represent the principal know-how of this field. The library was consequently built using generic programming as introduced by Stepanov and Musser and exemplified in the C++ Standard Template Library. By writing a few adapters (image iterators and accessors) you can use VIGRA's algorithms on top of your data structures, within your environment. Alternatively, you can also use the data structures provided within VIGRA, which can be easily adapted to a wide range of applications. VIGRA's flexibility comes almost for free: Since the design uses compile-time polymorphism (templates), performance of the compiled program approaches that of a traditional, hand tuned, inflexible, solution.