期刊文献+

一种快速的体数据特征增强可视化算法 被引量:1

A High-Efficient Volume Visualization Method for Feature Enhancement
下载PDF
导出
摘要 传输函数是实现体数据特征分类与可视化的重要手段,随着维度的升高,传输函数设计过程趋于复杂且难以实时交互;而在基于视线方向上特征分析的体数据特征可视化方法中,复杂的特征分析过程占用GPU硬件资源,降低了体绘制效率.为此提出一种快速的、不完全依赖于传输函数设计的体数据特征增强可视化算法.利用视线方向上采样点标量值变化率,快速识别视线方向上的重要特征,通过降低不重要特征的不透明度以增强重要特征在绘制结果图像中的可见性;引入反锐化掩模技术对视线方向上重要特征进行加权处理,在保证体绘制效率的同时增强了体数据特征的视觉感知.在绘制过程中,文中算法利用简单而有效的特征分析操作,在传输函数映射的基础上对感兴趣特征的视觉元素再次优化,实现不完全依赖于复杂传输函数设计的体数据特征增强可视化.最后通过大量实验,进一步验证了该算法的有效性与实用性. Transfer function has proven as a key step for feature classification and volume visualization. With the increase of the dimension, the design of transfer function has proven as a time-consuming and complex task which is hard for users to conduct interactions. As the volume visualization method based on the ray analysis is able to help users achieve better visibility of volumetric features, it is still difficult to conduct real-time volume visualization since the GPU resources have been largely occupied. In this paper, we introduce a high-efficient volume visualization method for feature enhancement. The rate of scalar change is firstly employed to recognize the features of interest along viewing ray. The opacity values of unimportant features are decreased to enhance the visibility of features of interest. Then, we further take advantage of unsharp masking to enhance the visual perception of the features of interest, with the high-efficiency of the volume visualization maintained at the same time. In the proposed method, the ray analysis is simple and the visual properties can be further refined to enhance the visual perception of features of interest. The users are able to achieve better visibility of internal features of interest without completely relying on complex transfer functions. A large number ofcomparison results further demonstrate the effectiveness and application value of our high-efficient volume visualization method.
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2014年第10期1663-1672,共10页 Journal of Computer-Aided Design & Computer Graphics
基金 国家自然科学基金(61303133,61303134,61100084) 浙江省公益技术研究工业项目(2014C31057) 浙江大学CAD&CG国家重点实验室开放课题(A1417) 国家“八六三”高技术研究发展计划(2012AA12A404)
关键词 体数据 传输函数 视觉感知 反锐化掩模 volume data transfer function visual perception unsharp masking
  • 相关文献

参考文献26

  • 1Kadlec B J,Tufo H M,Dorn G A.Knowledge-assisted visualization and segmentation of geologic features[J].IEEE Computer Graphics and Applications,2010,30(1):30-39.
  • 2丁治宇,陈海东,吴斐然,陶煜波,左伍衡,陈为.多变量空间数据场可视化综述[J].计算机辅助设计与图形学学报,2013,25(11):1597-1605. 被引量:7
  • 3孙国道,李伟明,孙文杰,马祥音,梁荣华.特征增强的体可视化方法综述[J].计算机辅助设计与图形学学报,2013,25(11):1606-1613. 被引量:2
  • 4Levoy M.Display of surfaces from volume data[J].IEEE Computer Graphics and Applications,1988,8(3):29-37.
  • 5Kniss J,Kindlmann G,Hansen C.Multidimensional transfer functions for interactive volume rendering[J].IEEE Transactions on Visualization and Computer Graphics,2002,8(3):270-285.
  • 6Prassni J S,Ropinski T,Mensmann J,et al.Shape based transfer functions for volume visualization[C]//Proceedings of Pacific Visualization Symposium.Los Alamitos:IEEE Computer Society Press,2010:9-16.
  • 7Correa C,Ma K L.Size-based transfer functions:a new volume exploration technique[J].IEEE Transactions on Visualization and Computer Graphics,2008,14 (6):1380-1387.
  • 8Wang Y H,Chen W,Zhang J,et al.Efficient volume exploration using the Gaussian mixture model[J].IEEE Transactions on Visualization and Computer Graphics,2011,17(11):1560-1573.
  • 9Maciejewski R,Woo I,Chen W,et al.Structuring feature space:a non parametric method for volumetric transfer function generation[J].IEEE Transactions on Visualization and Computer Graphics,2009,15(6):1473-1480.
  • 10Correa C D,Ma K L.Visibility-histograms and visibility driven transfer functions[J].IEEE Transactions on Visualization and Computer Graphics,2011,17(2):192-204.

二级参考文献132

  • 1马仁安,张二华,杨静宇,赵春霞.不规则地质体的分割与体绘制方法研究[J].计算机研究与发展,2005,42(5):883-887. 被引量:7
  • 2陈为,彭群生,鲍虎军.视点相关的层次采样:一种硬件加速体光线投射算法(英文)[J].软件学报,2006,17(3):587-601. 被引量:9
  • 3Pfister H, Lorensen W E, Bajaj C L, et al. The transfer function bake-off [J]. IEEE Computer Graphics and Applications, 2001, 21(3): 16-22.
  • 4Levoy M. Display of surfaces from volume data [J]. IEEE Computer Graphics and Applications. 1988, 8(3): 29-37.
  • 5YuanX R, Nguyen M X, Chen B Q, et al. High dynamic range volume visualization[C]//Proceedings of IEEE Visualization. Los Alamitos: IEEE Computer Society Press, 2005:327-334.
  • 6Kniss J, Kindlmann G L, Hansen C D. Muhidimensional transfer functions for interactive volume rendering [J]. IEEE Transactions on Visualization and Compuler Graphics. 2002, 8(3) : 270-285.
  • 7Kindlmann G L, Durkin J W. Semi-automatic generation of transfer functions for direct volume rendering [C ]// Proceedings of IEEE Symposium on Volume visualization. Los Alamitos: IEEE Computer Society Press. 1998:79-86.
  • 8Kniss J, Kindlmann G L, Hansen C D. Interactive volume rendering using multi-dimensional transfer functions and direet manipulation widgets [C]//Proceedings of IEEE Visualization. Los Alamitos: IEEE Computer Society Press. 2001:255-262.
  • 9Higuera F V, Sauber N, Tomandl B, et al. Automatic adjustment of bidimensional transfer functions for direct volume visualization of intracranial aneurysms [C]// Proceedings of SPIE. Bellingham: Society of Photo-Optical Instrumentation Engineers Press, 2004, 5367:275-284.
  • 10Hadwiger M, Laura F, Rezk volume exploration for feature industrial CT data[J]. IEEE and Computer Graphics, 2008, -Salama C, et al. Interactive detection and quantification in Transactions on Visualization 14(6):1507-1514.

共引文献33

同被引文献1

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部