摘要
以计算机数字图像处理为重要技术手段,以大豆叶片为主要研究对象,综合运用数字图像处理、色度学、人工神经网络、模式识别等人工智能领域的知识,设计了大豆叶片图像处理与分析系统,从植物叶片的几何特征到病斑的形态特征都作了具体地分析与计算。
Based on the information of digital image processing,colorimetry,artificial neural network and pattern recognition,in this paper,the technology of laminae＇s feature extraction and recognition was studied,using computer digital image processing as main technology method,and soybean leaf as subject,the system of digital image processing and analysis were designed.Geometric features from the leaf to the morphological characteristics of lesions were made to specific analysis and calculation.
出处
《农业网络信息》
2011年第9期19-21,共3页
Agriculture Network Information
关键词
数字图像处理
大豆叶片
人工神经网络
digital image processing
soybean leaf
artificial neural network
