scholarly journals Volume visualization based on statistical transfer-function spaces

Author(s):  
Martin Haidacher ◽  
Daniel Patel ◽  
Stefan Bruckner ◽  
Armin Kanitsar ◽  
M. Eduard Groller
2015 ◽  
Vol 18 ◽  
pp. 110-117
Author(s):  
Yipeng Song ◽  
Jie Yang ◽  
Yu Qiao ◽  
Yuemin Zhu

2015 ◽  
Vol 34 (3) ◽  
pp. 121-130 ◽  
Author(s):  
Li-Le Cai ◽  
Binh P. Nguyen ◽  
Chee-Kong Chui ◽  
Sim-Heng Ong

2015 ◽  
Vol 33 (2) ◽  
pp. 163-177 ◽  
Author(s):  
Lile Cai ◽  
Binh P. Nguyen ◽  
Chee-Kong Chui ◽  
Sim-Heng Ong

2013 ◽  
Vol 333-335 ◽  
pp. 1034-1037
Author(s):  
Yong Xia ◽  
Li Bing Zeng ◽  
Kuan Quan Wang

Volume rendering is an important issue in the field of images visualization, which can display the details of the volume data intuitively. In this paper, we provide an new transfer function for volume visualization of photographic data set. LH histogram and color gradient are used for opacity design. And special organ can be enhanced in 3D view for special mission. We use GLSL (OpenGL Shading Language) for the GPUs accelerate. VHP data set is used for test and the result confirms that our method is effective.


Sign in / Sign up

Export Citation Format

Share Document