Search Results for "open source" - Page 5
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Showing 118 open source projects for "open source"
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The aim of this project is to offer an image processing library dedicated to Mathematical Morphology
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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.
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EdhLib is a general C++ extension library for MFC. This includes derivatives of MFC classes, and new classes including helpers for threading, networking, string manipulation, graphics rendering, image processing, simulations, and data persistence.
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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/
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The Digital Image Processing Library (dimple) is a C++ class/algorithm library for image processing. Dimple consists of a wide range of image processing routines which can be viewed as low- to mid- level vision tasks.
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palbum is a perl script which turns a directory (or directory hierarchy) full of images into a nice image gallery. It generates thumbnails and index.html files, and requires no configuration. It uses the ubiquitous netpbm library for image processing.
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The Java Vision Toolkit (JVT) is a Java Advanced Imaging GUI/library for machine vision and image processing applications. It provides a framework for machine vision and image processing algorithms for 2D and 3D images.
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Uses Microsoft VisualBasic 6.0, the Intel image processing library and the ezCap 6.0 OCX control to capture webcam images and upload them to FTP servers for online viewing. Goal is to have an efficient program with ease of use and power.
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OpenVL is a framework for handling, processing & visualizing volumetric data (CT, MRI etc). It provides: powerful data access & layout API, plugins for volume processing tasks (image processing, segmentation etc), and support for multiple file-formats.
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C++ library that implements basic data structures and algorithms for computer vision and image processing applications
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Foresight is a LGPLed wrapper that currently brings together the Intel IPL, Intel OpenCV, ImageMagick, and the Matrox MIL. The ultimate goal is to provide a standard interface for any number of acquisition and image processing libraries.
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ScienceNET is a open source library written in C# which aims to provide a self contained clean .NET framework for neural networks, genetic algorithms, optimization, image processing and for other domains of a computational science.
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openlpr is a open source project to implement license plate recognition in Win32 and Linux platform. It will provide the basic image processing to locate plate and character split and a neural network design to recognize character.
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Image Processing Library is a complete image processing package. The main features is to support many image formats. By utilizing Object Oriented Programming concept, many image conversion filters are written in a neat, and clear way.
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golib
C++ collection mostly for image processing
libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others. If... -
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
...There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
