A Blinn-Phong Light Enhancement Algorithm Based on the Gradient of Voxel
- 10.2991/cnci-19.2019.3How to use a DOI?
- Direct volume rendering, gradient, ROI, Blinn-Phong illumination model.
Although the classical Blinn-Phong illumination model in direct volume rendering has a good display effect on the boundary of volume data field. However, the setting of the parameters fails to provide information about the valid combination data, thus limiting the performance of the model. To solve this problem, this paper proposes a Blinn-Phong light enhancement algorithm based on the gradient of voxel. Firstly, the gradient modulus of voxel gray value was calculated by using the central difference method. Then, the gradient modulus is linearly mapped to the mirror exponent and the opacity coefficient. Then calculate the ambient light, diffuse light, specular reflected light and integrated light intensity according to Blinn-Phong illumination model. Finally, the composite light intensity is multiplied by the opacity coefficient to get the final color value. This algorithm combines the gradient information of the gray value of the volume data and uses the gradient modulus to distinguish the boundary and the interior of the substance. On the basis of Blinn-Phong illumination model, different high-light and opacity illumination effects are assigned to different the gradient of voxel. The algorithm can enhance the contrast of the image, further highlight the area of user interest, and obtain more real volume rendering effect. The algorithm is applicable to the volume rendering system of objects with smooth surface and complex internal structure.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ying Gao AU - Qifan Li AU - Binzhou Yan AU - Shuxia Guo PY - 2019/05 DA - 2019/05 TI - A Blinn-Phong Light Enhancement Algorithm Based on the Gradient of Voxel BT - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019) PB - Atlantis Press SP - 17 EP - 23 SN - 2352-538X UR - https://doi.org/10.2991/cnci-19.2019.3 DO - 10.2991/cnci-19.2019.3 ID - Gao2019/05 ER -