Opacity specification based on visibility ratio and occlusion vector in direct volume rendering

被引:0
|
作者
Li, Lu [1 ]
Peng, Hu [1 ]
Chen, Xun [1 ]
Cheng, Juan [1 ]
Gao, Dayong [2 ,3 ]
机构
[1] Hefei Univ Technol, Sch Instrument Sci & Opto Elect Engn, Hefei, Anhui, Peoples R China
[2] Univ Washington, Dept Mech Engn, Seattle, WA 98195 USA
[3] Univ Washington, Dept Bioengn, Seattle, WA 98195 USA
基金
中国国家自然科学基金;
关键词
Direct volume rendering; Occlusion; Volume visualization; Ray casting;
D O I
10.1016/j.bspc.2017.01.018
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Direct volume rendering is widely used in 3-D volume visualization. In recent years, many sophisticated transfer functions have been designed to extract boundaries and structures, such as intensity-gradient histogram and LH histogram. However, it is still tedious and time-consuming to fine-tune the opacity to achieve high quality of visualization. Even with high-quality transfer functions the rendering results may still contain ambiguous information so that users may be misled. Possible reasons are the loss of depth information when a 3-D volume compresses to a 2-D image and information superposition in the form of occlusion while using ray casting or other rendering algorithms. In this paper, we propose the notion of visibility ratio and occlusion vector which are quantitative measures of occlusion based on the front-to-back iteration of ray casting. According to the measures we present a semiautomatic linear feedback mechanism to tweak the pre-designed opacity transfer function. As the opacity refinement can be regarded as alpha color blending that users are familiar with, users could understand occlusion and explore transfer function space intuitively. It is straightforward to integrate our method into other visualization systems based on the data-centric transfer function as an important supplement. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:174 / 182
页数:9
相关论文
共 50 条
  • [31] Deep Learning Based Super-Resolution for Medical Volume Visualization with Direct Volume Rendering
    Devkota, Sudarshan
    Pattanaik, Sumanta
    ADVANCES IN VISUAL COMPUTING, ISVC 2022, PT I, 2022, 13598 : 103 - 114
  • [32] Curvature-based transfer functions for direct volume rendering:: Methods and applications
    Kindlmann, G
    Whitaker, R
    Tasdizen, T
    Möller, T
    IEEE VISUALIZATION 2003, PROCEEDINGS, 2003, : 513 - 520
  • [33] Perceptually-Based Depth-Ordering Enhancement for Direct Volume Rendering
    Zheng, Lin
    Wu, Yingcai
    Ma, Kwan-Liu
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2013, 19 (03) : 446 - 459
  • [34] Fast analysis of intracranical aneurysms based on interactive direct volume rendering and CTA
    Hastreiter, P
    Rezk-Salama, C
    Tomandl, B
    Eberhardt, KEW
    Ertl, T
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI'98, 1998, 1496 : 660 - 669
  • [35] State-of-the-Art in Compressed GPU-Based Direct Volume Rendering
    Rodriguez, M. Balsa
    Gobbetti, E.
    Iglesias Guitian, J. A.
    Makhinya, M.
    Marton, F.
    Pajarola, R.
    Suter, S. K.
    COMPUTER GRAPHICS FORUM, 2014, 33 (06) : 77 - 100
  • [36] A Mutual Information Based Approach to Optimising View Orientation for Direct Volume Rendering
    Cartwright, Richard
    Chen, Minsi
    Hill, Richard
    IEEE Letters of the Computer Society, 2019, 2 (04): : 40 - 43
  • [37] Multimodal medical image visualization based on mutual information and direct multimodal volume rendering
    Jin, Zhaoyang
    Xue, Anke
    Xue, Lingyun
    Wang, Jianzhong
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 516 - 516
  • [38] VISUALIZATION BY EXAMPLE A Constructive Visual Component-based Interface for Direct Volume Rendering
    Liu, Bingchen
    Wuensche, Burkhard
    Ropinski, Timo
    GRAPP 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS, 2010, : 254 - 259
  • [39] Novel approach to development of direct volume rendering algorithms based on visualization quality assessment
    Gavrilov, N. I.
    Turlapov, V. E.
    PROGRAMMING AND COMPUTER SOFTWARE, 2014, 40 (04) : 174 - 184
  • [40] Novel approach to development of direct volume rendering algorithms based on visualization quality assessment
    N. I. Gavrilov
    V. E. Turlapov
    Programming and Computer Software, 2014, 40 : 174 - 184