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Drishti (from Sanskrit दृष्टि ''dr̥ṣţi'', meaning "vision" or "insight") is a multi-platform, open-source Volume Exploration and Presentation Tool. It was written for visualizing tomography data, electron-microscopy data and the like. It aims to ease understanding of the data set and to assist with conveying that understanding to the research community or a lay person. From the website: "The central idea about Drishti is that the scientists should be able to use it for exploring volumetric datasets as well as use it in presentations." It has been used by the CSIRO for a number of purposes, such as volumetric visualisation of various computer tomography datasets. The Australian National University (ANU) Physics department, along with the author of the software, have used it for, amongst other things, the analysis of immiscible flow in massive 3D systems.〔(Annual Report on 2005 Project )〕 Further uses were presented at the APAC '07.〔(APAC07 conference & exhibition )〕 Among other, Drishti uses Qt for the GUI widgets and OpenGL Extension Wrangler Library (GLEW). == Features == Drishti-tooth.png|Volumetric view of a tooth in Drishti showing 2D transfer function capabilities Drishti-aneurism.png|Volumetric view of an aneurism in Drishti Drishti-streamlines.png|Streamlines in Drishti Drishti provides a number of features that would otherwise require several proprietary volume visualisation programs or that are simply not available together in other software: * volume rendering: drawing a scalar function defined over a volumetric region of space with some translucent appearance so that the interior of the dataset can be observed. * 2D Transfer functions (or Lookup tables): In addition to, or instead of thresholding, Drishti allows the user to apply transfer functions across "density" or "value" as well as gradient. * clipping: removing some spatial region from a dataset. * Streamlines * Masking * Brick Animations * Realtime animation and movie export with: * * camera choreography (camera position, pan, rotation, zoom, etc.) * * transfer-function choreography * * time series choreography * * sub-volume choreography * Importing DICOM image stack in addition to the current raw and processed (netCDF) volume file formats. * Tensor visualization using superellipsoids * Network (Graph) visualization * Remap facility for remapping 16/32 bit volumes to 8 bit volumes * Cropping and scaling facility for image stacks * Cropping and scaling facility for RAW volumes * Saving movies from the program 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Drishti (software)」の詳細全文を読む スポンサード リンク
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