作　　者： ; ; ;

机构地区： 郑州航空工业管理学院计算机科学与应用系

出　　处： 《计算机工程与应用》 2011年第4期195-197,共3页

摘　　要： 叶脉是植物叶的内在特征和识别植物的重要特征,叶脉特征的提取有利于植物叶自动识别。针对叶脉复杂多变使得叶脉难于提取的特点,提出了多方向Top-Hat变换的叶脉特征提取方法。该方法采用Gauss梯度计算叶图像上各点方向,采用多方向Top-Hat算子进行Top-Hat变换,最后阈值分割提取叶脉。实验结果表明,与传统方法相比,该方法提取叶脉更精确,为下一步植物叶识别打下了良好的基础。 Leaf vein is inherent property of plant leaf and a significant feature for plant recognition.Extraction of leaf vein feature is good for automatic leaf recognition.It is difficult because of complicated and diversified characteristic of leaf vein.An approach based on Top-Hat transform is proposed.The direction of each pixel on leaf image is calculated by Gauss gradient.And the Top-Hat transform is carried by multidirectional Top-Hat operators.Finally,leaf vein is extracted by threshold segmentation.Compared with conventional threshold-based methods,experimental results demonstrate that it is capable of extracting more accurate modality of leaf venation for subsequent leaf recognition.

关 键 词： 变换 叶脉提取 梯度 数学形态学

领　　域： [自动化与计算机技术] [自动化与计算机技术]