基于色素浓度的黄瓜叶片渲染

提出一种基于多种色素浓度的植物叶片方法,以黄瓜为研究对象,通过对正常生长状态下的黄瓜叶片图像采集及叶内多种色素浓度值测定,建立黄瓜叶片颜色分量与多种色素浓度值的数学关系模型,并采用均方根误差（RMSE）对模型进行验证。结果显示叶片的3个颜色分量R（红）、G（绿）、B（蓝）的实测值与模拟值之间的RMSE为9.12%、8.83%、4.40%,模拟效果较好。通过结合物理光照模型并采用高级着色器语言对叶片表观颜色进行可视化模拟,实现了结合植物叶片生理知识和物理感观的黄瓜叶片渲染,并获得了较好的真实感效果。

Rendering of cucumber leaves based on pigments concentration

Rendering realistic plant leaves requires both advanced computer graphics technology and strong hardware support. In this study, we introduced a method for rendering cucumber leaves based on the con- centration of chlorophyll a, b and carotene. The mathematical model between cucumber leaves color com- ponents and different pigment concentrations was established based on images and pigment concentration acquisited from cucumber leaves, which was verified by root-mean-square error （RMSE）. The results showed that the imitative effect was promising as the RMSE between the observed values （R, G, B） and simulated vales （R, G, B） in the leaves was 9.12% , 8.83% , and 4.40% , respectively. The rendering of cucumber leaf color based on the knowledge of physiology and physical senses was achieved by combi- ning the algorithm of physical lighting model with the OpenGL Shader Language to realize the visualiza- tion, and achieved promising realistic rendering results.