摘要
该文提出了一种基于植物器官图像的器官重建方法,系统实现步骤包括:图像预处理、轮廓的提取、二值化、细线化、矢量化、三角剖分,从而实现器官的重建。文章以叶为例,实现了叶可视化重建。系统考虑叶图像的特点,设计了优化的轮廓提取算法;并对Hilditch细线算法进行改进,提出了一种快速细线化算法。文章提出的器官重建方法可用于多种植物模型(如L系统)的器官外观建模;由于采用基于图像的技术,系统具有逼真的外观效果,实现了植物器官快速可视化重建。
This paper proposes a method of modeling plant organs based on images.The main process of organs reconstruction is given as follows：image preprocess,contour extraction,binary,thinning process,vectorization,Delaunay triangulation.Taking leaf as an example,this paper has achieved leaf reconstruction.The system designed a special algorithm of leaf contour extraction,which is adopted to leaf image.And a fast thinning method is presented,it has improved the Hilditch algorithm.The proposed method provides a fast visual reconstruction of plant organs,is adapted to main approaches typically used in visual simulation of virtual plant（such as L-systems）.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第2期218-221,共4页
Computer Engineering and Applications
关键词
虚拟植物
三维重建
图像分割
virtual,plant,3D reconstruction,image segmentation
