A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling
Ray-casting algorithm is an important volume rendering algorithm, which is widely used in medical image processing. Aiming to address the shortcomings of the current ray-casting algorithms in 3D reconstruction of medical images, such as slow rendering speed and low sampling efficiency, an improved a...
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Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2020/8822624 |
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doaj-a8ce8d6936e04b90aa98540d7355fefe2020-11-25T03:56:34ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772020-01-01202010.1155/2020/88226248822624A Novel Ray-Casting Algorithm Using Dynamic Adaptive SamplingHuadeng Wang0Guang Xu1Xipeng Pan2Zhenbing Liu3Rushi Lan4Xiaonan Luo5School of Computer and Information Security, Guilin University of Electronic Technology, Guilin, ChinaSchool of Computer and Information Security, Guilin University of Electronic Technology, Guilin, ChinaSchool of Computer and Information Security, Guilin University of Electronic Technology, Guilin, ChinaSchool of Computer and Information Security, Guilin University of Electronic Technology, Guilin, ChinaSchool of Computer and Information Security, Guilin University of Electronic Technology, Guilin, ChinaNational Local Joint Engineering Research Center of Satellite Navigation and Location Service, ChinaRay-casting algorithm is an important volume rendering algorithm, which is widely used in medical image processing. Aiming to address the shortcomings of the current ray-casting algorithms in 3D reconstruction of medical images, such as slow rendering speed and low sampling efficiency, an improved algorithm based on dynamic adaptive sampling is proposed. By using the central difference gradient method, the corresponding sampling interval is obtained dynamically according to the different sampling points. Meanwhile, a new rendering operator is proposed based on the color value and opacity changes before and after the ray enters the volume element, and the resistance luminosity. Compared with the state of other algorithms, experimental results show that the method proposed in this paper has a faster rendering speed while ensuring the quality of the generated image.http://dx.doi.org/10.1155/2020/8822624 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Huadeng Wang Guang Xu Xipeng Pan Zhenbing Liu Rushi Lan Xiaonan Luo |
spellingShingle |
Huadeng Wang Guang Xu Xipeng Pan Zhenbing Liu Rushi Lan Xiaonan Luo A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling Wireless Communications and Mobile Computing |
author_facet |
Huadeng Wang Guang Xu Xipeng Pan Zhenbing Liu Rushi Lan Xiaonan Luo |
author_sort |
Huadeng Wang |
title |
A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling |
title_short |
A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling |
title_full |
A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling |
title_fullStr |
A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling |
title_full_unstemmed |
A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling |
title_sort |
novel ray-casting algorithm using dynamic adaptive sampling |
publisher |
Hindawi-Wiley |
series |
Wireless Communications and Mobile Computing |
issn |
1530-8669 1530-8677 |
publishDate |
2020-01-01 |
description |
Ray-casting algorithm is an important volume rendering algorithm, which is widely used in medical image processing. Aiming to address the shortcomings of the current ray-casting algorithms in 3D reconstruction of medical images, such as slow rendering speed and low sampling efficiency, an improved algorithm based on dynamic adaptive sampling is proposed. By using the central difference gradient method, the corresponding sampling interval is obtained dynamically according to the different sampling points. Meanwhile, a new rendering operator is proposed based on the color value and opacity changes before and after the ray enters the volume element, and the resistance luminosity. Compared with the state of other algorithms, experimental results show that the method proposed in this paper has a faster rendering speed while ensuring the quality of the generated image. |
url |
http://dx.doi.org/10.1155/2020/8822624 |
work_keys_str_mv |
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1715081663334055936 |