Search Results for "data processing" - Page 2
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Showing 36 open source projects for "data processing"
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IMGH (IMaGe library in C++ Header files) is a simple, light-weight, and cross-platform image processing library, that supports simple editing and drawing, multiple pixel formats (pointers and float). Designed for developers and researchers.
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MIVF - Medical Imaging and Visualization Factory, is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).
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Open Source Remote Sensing OSSIM project, pronounced "awesome", will leverage existing algorithms/tools/packages from the open source community in construction of the ultimate Remote Sensing/Image Processing/GIS package. osgPlanet extends OSSIM and Op
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A set of libraries which includes: - Time schedule library - HTTP communication library - Generic parser library - Image processing library
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ImLib3D is a C++ library and visualisation system for 3D image processing. It contains most basic image processing algorithms, and some more sophisticated ones. ImLib3D images are STL-compliant templated containers. Keywords: Medical, MRI, Brain
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The aim of this project is to offer an image processing library dedicated to Mathematical Morphology
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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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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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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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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. ...
