|本期目录/Table of Contents|

[1]罗匡男,彭琳,齐伟恒.基于机器视觉的三七叶片病斑识别[J].江苏农业科学,2017,45(24):209-212.
 Luo Kuangnan,et al.Recognition of Panax notoginseng leaf diseases based on machine vision[J].Jiangsu Agricultural Sciences,2017,45(24):209-212.
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基于机器视觉的三七叶片病斑识别(PDF)
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第45卷
期数:
2017年24期
页码:
209-212
栏目:
农业工程与信息技术
出版日期:
2017-12-20

文章信息/Info

Title:
Recognition of Panax notoginseng leaf diseases based on machine vision
作者:
罗匡男 彭琳 齐伟恒
云南农业大学云南省高校农业信息化重点实验室,云南昆明 650201
Author(s):
Luo Kuangnanet al
关键词:
三七病斑识别特征提取聚类算法机器视觉
Keywords:
-
分类号:
TP391.41
DOI:
-
文献标志码:
A
摘要:
黑斑病和圆斑病是三七发病率较高的2种病,传统的识别方法是通过人工来进行的,该识别方法效率低并且需要依赖有经验的工作人员,因此不能大规模推广。利用图像识别技术来进行病害的分类,并运用投影主要边缘分布(projected prcipal-edge distribution,简称PPED)算法结合机器学习中的聚类算法k-means++进行图像特征提取。该方法具有速度快、识别率高等优点,能够协助农耕人员进行有效的三七病害识别。
Abstract:
-

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-10-09
基金项目:云南省科技创新强省计划(编号:2014AB026);云南高原特色农业产业物联网示范工程建设项目(编号:2014AB026);云南省科技创新强省计划:国家农村信息化示范省省级综合信息资源中心建设项目(编号:2014AB017);国家自然科学基金(编号:31260292)。
作者简介:罗匡男(1992—),女,陕西咸阳人,硕士研究生,主要研究方向为图像处理。E-mail:luokuangnan@gmail.com。
通信作者:彭琳,博士,副教授,主要研究方向为人工智能。E-mail:dapengjiao@163.com。
更新日期/Last Update: 2017-12-20