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CVSharp (aka Computer Vision in C#) is a Computer Vision project. Until the present day just one part of the whole project was actually developed. It's called CVSharp Lab, an Image Processing Tool.
The objective of CLJ++(owned by ChenLuJie) is to gives lots of convenient to image processing developers. This tool has been used in university's lab with many kind of purposes by researchers.
The Flexible Registration and Evaluation Engine (f.r.e.e.) allows the composition, evaluation and optimization of image processing/registration algorithms. It also aims to boost the exchangeability and comparability of data and algorithms in research.
The free-vision project aims at creating a library for computer vision related functions, including camera capture interface, stereo, image processing, camera calibration and so on.
Image Processing software for combining information from images of the same scene, but with illumination variations or small changes. This work is the result of the coursework of an Image Processing regular course at IMPA.
x86mph is an optimized library with vector, matrix, and vertex helpers (including an own TnL) It also contains memory helpers, and other stuff such as image processing (color inverting, changing bpp) taking advantage of x86's 3DNow!, MMX, and SSE
RoboRealm Extensions are plugins to the RoboRealm application that allow you to extend RoboRealm in whatever way you need. RoboRealm is a powerful computer vision based application for use in machine vision, image analysis, and image processing systems.
Image-In is a C++ based image processing and analysis application. It works on images, videos and cameras. Target is to help you to develop and test new algorithms via add-ons. Chains of filters can be arranged to achieve intelligent systems.
Generic Image processing Library of Library (GILL) is a cross-platform and GP-based C++ image processing architecture helping to develop flexible and expandable image processing library.
GLipKit (GL Image Processing Kit) is a collection of image processing and computer vision algorithms performed on current programmable 3D graphics hardware for faster execution. The main focus is currently computational stereo.
Written in Python and the Numeric package. It supports the examples of the book: Dougherty and Lotufo, Hands-on Morphological Image Proc., SPIE, 2003, ISSN=0-8194-4720-X. This toolbox has been continued at www.adessowiki.org under name ia870.
ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.1 or later. HOME @ http://rsb.info.nih.gov/ij/