基于细胞神经网络的植物叶片图像中叶脉的提取

叶片是植物最重要的器官之一,特别是在识别植物种类时起着关键作用.叶脉包含了植物的内在特征和重要遗传信息,叶脉复杂多变的特点使得传统的边缘检测方法不适用于叶脉络的提取.为此,提出了一种基于细胞神经网络(CNN)的植物叶脉图像提取方法.试验结果表明:与传统图像处理方法相比,该方法通过神经网络参数的合理设计,能够提取出较为理想的叶脉络和叶边缘信息,提高了提取的准确性.

Extraction of Leaf Vein in Plant Leaf Image Based on Cellular Neural Network

Leaf is one of the most important organs of a plant.Especially,it plays a key role for identifying the variety of a plant.Leaf vein include the inherent characteristics and important genetic information of a plant.Traditional methods edge extraction are not suitable for the leaf vein extraction because of the complicated and diversified characteristic of leaf vein.An leaf vein extraction algorithm based on cellular neural network(CNN) is proposed in this paper.Compared with traditional image processing meth...