| 基于遗传神经网络的植物叶片病害特征提取的研究 |
| |
| 引用本文： | 马晓丹,关海鸥.基于遗传神经网络的植物叶片病害特征提取的研究[J].黑龙江八一农垦大学学报,2009,21(2):87-89. |
| |
| 作者姓名： | 马晓丹 关海鸥 |
| |
| 作者单位： | 黑龙江八一农垦大学信息技术学院,大庆,163319 |
| |
| 基金项目： | 黑龙江农垦总局重点科技攻关项目 |
| |
| 摘 要： | 为提高作物病害定量、快速、准确识别,以大豆褐斑病为例,综合运用计算机数字图像处理技术与人工神经网络技术,建立了一个多层前馈遗传神经网络,实现了大豆褐斑病的识别与特征计算。本技术首先通过计算机视觉技术采集叶片图像,尔后,采用遗传神经网络完成了对病斑图像的识别,最后运用数字图像处理技术完成了对病斑区域相关特征值的计算,实验识别准确率达100%。
|
| 关 键 词： | 大豆 遗传神经网络 特征计算 图像处理 |
Investigation on the Diseased Feature Extraction of lamina Based on Genetic Neural Network |
| |
| Ma Xiaodan,Guan Haiou.Investigation on the Diseased Feature Extraction of lamina Based on Genetic Neural Network[J].Journal of Heilongjiang August First Land Reclamation University,2009,21(2):87-89. |
| |
| Authors: | Ma Xiaodan Guan Haiou |
| |
| Institution: | (College of Information and Technology, Heilongjiang August First Land Reclamation University, Daqing 163319) |
| |
| Abstract: | In order to recognize the disease quantitatively, quickly and exactly, taking soybean brown spotas the example, using computer digital image processing and artificial neural network, a multi-layer feed forward neural network was established which could identify the area of soybean brown spot. Firstly, the image was obtained and then the diseased spots was recognized through neural network, at last, the feature parameter of diseased spots was computed using the technology of digital image processing, the accuracy could reach 100%. |
| |
| Keywords: | soybeans genetic neural network feature calculation image processing |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
