Search Results for "command line client"

...It supports a good range of image formats, including JPEG, JPEG2000, JPEG-XL, TIFF, PNG, WebP, HEIC, AVIF, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM / PGM / PFM, CSV, GIF, Analyze, NIfTI, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick, letting it work with formats like DICOM. It comes with bindings for C, C++, and the command-line. Full bindings are available for Ruby, Python, PHP, C# / .NET, Go, and Lua.

...It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical user interfaces and/or via the command-line. See our YouTube channel for tutorial videos via the homepage. The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily.

This software provides libraries and command line tools for the processing and analysis of gray scale medical images.

Library for continuous convex optimization in image analysis, together with a command line tool and Matlab interface. Implements several recent algorithms for inverse problems and image segmentation with total variation regularizers and vectorial multilabel transition costs. Also included is a suite for variational light field analysis, which ties into the HCI light field benchmark set and givens reference implementations for a number of our recently published algorithms. *** NOTE: documentation on the SourceForge page is outdated and not updated anymore, please visit http://cocolib.net ***

Moved to: http://github.com/MIC-DKFZ/RTTB RTToolbox is a software library, developed at the DKFZ to support quantitative analysis of treatment outcome for radiotherapy. The RTToolbox was designed following object-oriented design principles and was implemented in the language C++. It supports the import of radiotherapy data (e.g. dose distributions and structure sets) from DICOM-RT format and other standard image processing formats by using a bridge to ITK. The RTToolbox supports...

...Orfeo ToolBox has three main access depending on the category of user: write processing chains in C++ using existing filters or creating new ones, use the OTB applications, which is a plugin-based framework allowing to extend high-level processing chains from various environment ( command-line, QT, QGis, Python....) or use Monteverdi, a software for everyday life image manipulation and analysis.

MDSTk is a collection of 2D/3D image processing tools aimed at medical images. It contains routines for volume data processing (3D filtering, segmentation, etc.) as well as fast low-level vector graphics library for surface and tetrahedral meshing. MDSTk has been forked by 3Dim Laboratory s.r.o. to provide better support and further push its development forward. Please check VPL (Voxel Processing Library) project available on Bitbucket (https://bitbucket.org/3dimlab/vpl).

Pink is an image processing library developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering.

EPSILON is a powerful Open Source wavelet image compressor. The project is aimed on parallel and robust image processing.

An image processing application based on a scripting language: now LUA (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and FreeType).

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.

Fourier is a portable image processing and analysis library written in ANSI C. It implements operations such as color space conversions, noise removal, enhancement, morphology, edge detection, thresholding, segmentation, and visual feature extraction