Open Source Windows Image Processing Libraries

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/

An image postprocessor for the DIY Book Scanner described on instructables.com and diybookscanner.org. Gets images ready for OCR or for PDF. Written in Java based on a partial port of the Leptonica image processing library.

This Library was released by Acute3D for educational purposes. It is distributed under a BSD license. Some derivative works are used for teaching C++ development and image processing at Ecole des Ponts ParisTech. The Library is composed of 4 modules: - Common: base containers, random number generation, timer functions. - Images: image I/O and basic image processing algorithms. - LinAlg: simple wrappers for linear algebra algorithms. - Graphics: basic graphical user interface based on wxWidgets.

Web Based application to manage library materials and material borrowers. Includes a web search engine to find and reserve items by borrower ID. Painless installation, very extensible and has an intuitive U.I. Runs on MySQL. A great tool for any libr

Bildster is an image processing library for educational purposes that provides tools for loading and manipulating (or creating) images. It provides a split screen view (before / after). Both, a C and a Java version exist. Das Projekt stellt das Programmpaket "Bildster" bereit --- eine Entwicklungsumgebung für Bildverarbeitungsprogramme. Es gibt eine C-Version für Linux und eine plattformunabhängige Java-Version. Das Programm eignet sich für den Informatikunterricht in der Oberstufe. Lizenz ist GPL 3.

ivl is a full-header template C++98 math library with convenient yet powerful syntax. It extends classic C++ syntax towards mathematical notation while making use of the language's elements like classes, structs, operators and functions. Expression written using ivl are excessively optimized. In other words, ivl allows writing simpler and more expressive statements using math-like formulas while taking care of optimizing them. ivl features arrays, tuples and custom function-like objects with left-right overloading, function pipelining and function vectorization, automatic lazy evaluation, sub-arrays and other views of a single or multidimensional arrays, stl-compatible iterators, multidimensional iterators and multithreading. ivl includes a rich set of functions and operators, including operations for image processing. Seperate modules are also included. The module ivl-lina implements a linear algebra LAPACK wrapper. The module ivl-cv integrates OpenCV into ivl.