iVolBrush: an intelligent interactive tool for efficient volume selection and editing
iVolBrush: an intelligent interactive tool for efficient volume selection and editing
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DOI：
10.1145/1963564.1963604
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发表时间：
2010-12
期刊：
影响因子：
--
通讯作者：
Youbing Zhao;G. Clapworthy;F. Dong;Xiangrong Zhang;Wei Chen;M. Viceconti
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文献类型：
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作者：
Youbing Zhao;G. Clapworthy;F. Dong;Xiangrong Zhang;Wei Chen;M. Viceconti
体绘制经常用于可视化3D体数据。在实际应用中，可能不仅需要渲染体数据，而且需要以类似于图像编辑的范例直接选择和编辑体数据。高效的体积选择工具作为体积编辑的基础，可以帮助用户快速、方便地定位和选择感兴趣的体积区域。然而，在现有的工作中，半自动卷选择还没有深入研究。这篇简短的论文介绍了我们目前研究的半自动卷选择-智能卷刷iVolBrush -作为分割工具的EC资助的VPHOP项目的状态报告。第一阶段--高效的3D绘画--已经完成。VTK图像选择的主要改进，包括重新使用画笔模板数据以避免昂贵的模板重新生成，以增强性能并满足交互性的挑战。进一步的智能选择功能，如基于区域或基于学习的选择正在研究中，并将成为下一阶段工作的重点。
Volume rendering is frequently used for visualising 3D volume data. In practical applications, there may be a need not only to render the volume data but also to directly select and edit it in a paradigm similar to image editing. Being the basis of volume editing, efficient volume selection tools can help users to locate and select the volume region of interest quickly and conveniently. However, semi-automatic volume selection has not been studied in depth in existing work. This short paper presents a status report of our current research on semi-automatic volume selection -- the intelligent volume brush iVolBrush -- as a segmentation tool for the EC-funded VPHOP project. The initial stage -- efficient 3D painting -- has been completed. Major improvements of VTK image selection, including the re-use of brush stencil data to avoid expensive stencil regeneration, have been made to enhance performance and meet the challenge of interactivity. Further intelligent selection features such as region-based or learning-based selection are being investigated and will be the focus of the next stage of the work.