VIGRA

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VIGRA
Developer(s) Ullrich Köthe and others (Heidelberg Collaboratory for Image Processing (HCI) University of Heidelberg)
Stable release 1.8.0 / September 20, 2011 (2011-09-20)
Operating system Any (C++ Standard Template Library)
Type Computer vision
License MIT X11
Website http://hci.iwr.uni-heidelberg.de/vigra/

VIGRA[1][2][3] is the abbreviation for "Vision with Generic Algorithms". It is a free open source computer vision library which focuses on customizable algorithms and data structures. VIGRA component can be easily adapted to specific needs of target application without compromising execution speed, by using template techniques similar to those in the C++ Standard Template Library.

Features[edit]

Images and Multi-dimensional Arrays, Image Processing, Filters, Segmentation, Image Analysis, 3-dimensional Image Processing and Analysis, Machine Learning, Mathematical Tools, and Inter-language support.

VIGRA runs on the three major operating systems (Microsoft Windows, Mac OS X, and Linux). Since version 1.7.1, VIGRA provides Python bindings based on numpy framework.

History[edit]

VIGRA was originally designed and implemented by scientists at Heidelberg Collaboratory for Image Processing (HCI) University of Heidelberg. In the meantime, many developers have contributed to the project.

Application[edit]

CellCognition and ilastik uses VIGRA computer vision library.

Resources[edit]

VIGRA project is hosted on GitHub.

References[edit]

  1. ^ Köthe U (2000). Generische Programmierung für die Bildverarbeitung. Universität Hamburg. ISBN 3-8311-0239-2. 
  2. ^ Jähne B, Haußecker H, Geißler P (1999). Reusable Software in Computer Vision 3. Academic Press. 
  3. ^ Köthe U (2000). "STL-Style Generic Programming with Images". C++ Report Magazine 12 (1). 

External links[edit]