基于图像特征提取的生菜形态可视化建模

Visual Modeling of Lettuce Form Based on Image Feature Extraction

植物形态可视化技术是实现虚拟农业中关键技术之一。该文对生菜图像进行预处理后,研究图像的各个特征,并提取生菜叶片的R、G、B颜色特征和叶片长度、宽度等特征。基于提取的各个特征,在Open GL平台上,对生菜进行三维可视化建模,并进行颜色、光照模拟等渲染处理,主要建立了生菜二维图像与三维可视化模型之间的联系,实现生菜的可视化,能够直观地表现生菜的成长状态。将虚拟植物技术应用到农业领域的教学中,能够帮助同学直观地学习理解,对于农业科研、教育有积极作用。

Plant morphology visualization is a key technology of virtual agriculture. After the pretreatment of lettuce image, the various fea- tures were studied. Then R, G, B color characteristics and the length and width of lettuce leaf were extracted. According to these features, based on OpenGL to realize lettuce three-dimensional visual modeling. In addition, increasing the color and light rendering to make the model more realistic. The major advantage of this model is establishing the contact between 2D images and 3D visualization model. It showed lettuce＇ s growing state. If the model is applied to the field of agriculture, it can help students to understand intuitively, which has a positive effect for agricultural scientific research and education.