Search Results for "image viewer"

...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.

...If upgrading from version v1.x.x, please download and install v2.0.0 first. IMPORTANT FIXES in respect to base v2.0.0 version: v.2.5.0 introduces the Differential Attenuation and Cube Viewer utilities, and migrates user database to *.json files v2.4.3 fixes a with K element in the fit-approx method v2.4.3 fixes and issue where saving plots with fit-approx or a auto-wizard could freeze the software v2.4.2 introduces Image Viewer to Mosaic v2.4.1 fixes an issue in merging H5 or EDF datasets with Mosaic Full changelog at https://linssab.github.io/history X-Ray Fluorescence Imaging Software for Multiple Samples is an open source software to manipulate and study macro-X-Ray Fluorescence (MA-XRF) datasets. ...

PyVE is image analysis and Visualization Environment focused at clinical use. At the core of it there is a powerful viewer for displaying 3D datasets (MRI, PET, CT) based on VTK. It all comes precompiled allowing painless access to Python (2.x), the ITK toolkit for image analysis, numpy/scipy for numerical calculations, Qt and PyQt4 for the development Graphical User Interfaces.

MicroView is a 2D/3D image viewer and analysis tool. It is written in Python and uses VTK for all of its graphical capabilities.

MobiLinux is a mobile Linux distro based on Ubuntu 12.04 ARMv7 Build and is made to run on Android mobile phones while using little ram. This is based off http://sourceforge.net/projects/linuxonandroid/ and has been very much modified but should still be noted Requirments: - ARM based Android Mobile Phone - Android OS 2.2+ - ROOT ACCESS and BusyBox Binay - loop and ext2 kernel support - 2 GB of free space - 1 GHz CPU (dual-core or overclocked is recommended) - 512 RAM on board...

Native FITS viewer/IRAF image server for Mac OS X.

Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.