面向植物分类的被子植物叶形特征自动提取

Automatic Feature Extraction of Leaf Shape Designed for Angiosperm Taxonomy

在植物分类学中,叶的形态特征是重要的分类依据。根据被子植物分类对叶特征提取的要求,设计了植物叶形特征自动提取方案:使用扫描仪进行植物叶图像采集;对原始图像进行预处理,包括去除背景、去除叶柄、叶片方位校正;根据预处理后的图像进行叶形特征提取,获得纵横比、位置度2个特征数据。根据特征数据结合植物分类学知识能够识别叶片的基本形状。通过测试验证了方案的有效性。

The morphology features of leaf play an important role in plant taxonomy.A scheme was designed to acquire feature data of leaf shape automatically according to the requirements of feature extraction in angiosperm taxonomy.Firstly,a scanner was used to acquire the leaf image.Then the image preprocessing was conducted on the raw image,which included removing background,removing leafstalk and emending the position of lamina.Finally,feature extraction of leaf shape was performed on the lamina image to get the feature data of the Aspect Ratio and the Position Accuracy.Combining the feature data with the knowledge of plant taxonomy,the basic shape of the leaf could be identified.The test results showed the scheme was feasible.