期刊文献+

基于二维直方图图像智能分割的体绘制传递函数设计 被引量:5

Transfer Function Design for 3D Volume Rendering Based on Intelligent 2D Histogram Image Segmentation
下载PDF
导出
摘要 为了增强传递函数的特征区分能力并简化交互模式,提出一种基于二维直方图图像分割和特征度量差异性分析的渐进式体绘制传递函数设计方法.通过渐进式地用不同的特征组成传递函数对目标区域进行逐步求精地分离,并在每次分离时采用面向数据分类的特征空间度量差异性的评估方法智能指导二维传递函数数值特征的选取.使用这一系列二维传递函数对目标区域进行多次分离,得到目标区域精确的分离结果;再利用此结果突出目标区域的显示,增强可视化效果.由于该方法借鉴了前人建立在对二维直方图图像进行normalized cut分割和层次聚类的交互方式,使得二维直方图的交互也非常简单便捷.实验结果表明,文中方法是有效的. In order to strengthen transfer function(TF)'s ability in identifying meaningful features and simplify interactive mode, we present a TF design method based on 2D histogram image segmentation with the guidance of feature difference evaluation. We compute different features to design 2D TFs and use these TFs to separate interesting structures in volume progressively. We also present a feature difference evaluation method to assist choosing features intelligently when designing 2D TFs. By applying these TFs in series to separate interesting structures in volume, we can get a fine separation result which will be highlighted in visualization to perfect rendering result. Besides, we learn from previous work and use normalized cut method to segment 2D histogram image in order to explore volumes hierarchically, which makes our interaction with transfer function more convenient. Some experimental results demonstrate the effectiveness of our 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1583-1592,共10页 Journal of Computer-Aided Design & Computer Graphics
基金 国家自然科学基金(61272225 91315302 60773143) 国家"八六三"高技术研究发展计划(2012AA041606) 国家"九七三"重点基础研究发展计划项目(2010CB328001)
关键词 体绘制 传递函数 特征评估 图像分割 volume rendering transfer function feature evaluation image segmentation
  • 相关文献

参考文献24

  • 1Ip C Y,Varshney A,JaJa J.Hierarchical exploration of volumes using multilevel segmentation of the intensity gradient histograms[J].IEEE Transactions on Visualization and Computer Graphics,2012,18(12):2355-2363. 被引量:1
  • 2Kindlmann G,Durkin J W.Semi automatic generation of transfer functions for direct volume rendering[C]//Proceedings of IEEE Symposium on Volume Visualization.New York:ACM Press,1998:79-86. 被引量:1
  • 3Lum E B,Ma K L.Lighting transfer functions using gradient aligned sampling[C]//Proceedings of the Conference on Visualization.Los Alamitos:IEEE Computer Society Press,2004:289-296. 被引量:1
  • 4Sereda P,Bartroli A V,Serlie I W O,etal.Visualization of boundaries in volumetric data sets using LH histograms[J].IEEE Transactions on Visualization and Computer Graphics,2006,12(2):208-218. 被引量:1
  • 5Hladuvka J, Konig A, Grolier E. Curvature-based transfer functions for direct volume rendering [OL]. [2014-05-08]. https://www, eg. tuwien, ac. at/research/vis/vismed/Curvature- TF/CurvatureTF. pdf. 被引量:1
  • 6Kindlmann G,Whitaker R,Tasdizen T,et al.Curvaturebased transfer functions for direct volume rendering:methods and applications[C]//Proceedings of Visualization.Los Alamitos:IEEE Computer Society Press,2003:513-520. 被引量:1
  • 7Caban J J,Rheingans P.Texture based transfer functions for direct volume rendering[J].IEEE Transactions on Visualization and Computer Graphics,2008,14 (6):1364-1371. 被引量:1
  • 8Correa 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. 被引量:1
  • 9Patel D,Haidacher M,Balabanian J P,et al.Moment curves[C]//Proceedings of IEEE Visualization Symposium.Los Alamitos:IEEE Computer Society Press,2009:201-208. 被引量:1
  • 10彭艺,陈莉.医学可视化中利用形状特征设计传递函数[J].计算机辅助设计与图形学学报,2011,23(1):78-84. 被引量:6

二级参考文献32

  • 1高印寒,周晓华,梁杰,常鑫.数据融合技术在声全息测量中的应用[J].光学精密工程,2007,15(7):1104-1111. 被引量:5
  • 2焦李成,谭山.图像的多尺度几何分析:回顾和展望[J].电子学报,2003,31(z1):1975-1981. 被引量:227
  • 3张俊雄,荀一,李伟.基于形态特征的玉米种子表面裂纹检测方法[J].光学精密工程,2007,15(6):951-956. 被引量:37
  • 4ZENG L, JANSEN C P, MARSCH S, et al Wavelet compression of four-dimensional arbitrarily size echocardiographic data[J].IEEE Transactions on Medical Imaging, 2002,21(9) :1179-1187. 被引量:1
  • 5BOULGOURIS N V, CHI Z X. Gait recognition u sing Radon transform and linear discriminant analysis[J].IEEE Transactions on Image Processing, 2007,16(3) :731-740. 被引量:1
  • 6FARHAD M K, JALALEDDIN I, REIHANE M, et al.. Numeral recognition using curvelet transform[C].IEEE/ACS International Conference on Computer Systems and Applications, 2008: 606- 612. 被引量:1
  • 7YANG M Q, PENG Y H, LIU Y X. The algorithm and application of finite line integral transform[C]. IEEE International Symposium on Micro wave, Antenna, Propagation and EMC Technologies for Wireless Communications Proceedings,2005:411-414. 被引量:1
  • 8HALL D L, LIANAS J. Handbook of Multisensor Data Fusion[M]. Florida: CRC Press LLC, 2001: 69-74. 被引量:1
  • 9http://www.gris.uni-tuebingen.de/areas/scivis/ volren/datasets/data/engine, raw. gz[OL]. 被引量:1
  • 10Kindlmann G, 4Durkin J W. Semi-automatic generation of transfer functions for direct volume rendering [C]//Proceedings of the 1998 IEEE Symposium on Volume Visualization. New York: ACM Press, 1998:79-86. 被引量:1

共引文献36

同被引文献27

引证文献5

二级引证文献6

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