关键词: 玉米植株, 植物表型, 图像处理, 骨架提取, 二叉树分析, 茎叶分割

Abstract: Segmentation of stems and leaves of corn plant images could provide parameters and basis for subsequent studies such as phenotypic analysis and plant response to environmental stress.Maize plant images were selected from the plant phenotypic dataset of the University of Nebraska-Lincoln,and the maize plants image were tailored and binarized automatically.The skeleton model of the plant was established by the skeleton refinement algorithm,and the threshold was set to remove the burrs in the skeleton;then the end points and branch points on the skeleton were detected,the skeleton model was analyzed by the binary tree,and the nodes at each level and the individual leaves were finally established,thereby realized the segmentation of the stems and leaves.The results showed that the established stem and leaf segmentation algorithm of maize plants has the advantages of fast processing speed and easy understanding,and provides support for the phenotypic analysis and breeding of plants such as maize.

Key words: Maize plant, Plant phenotype, Image processing, Skeleton extraction, Binary tree analysis, Stem and leaf segmentation