引用本文:[点击复制]
[点击复制]
【打印本页】【下载PDF全文】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览次   下载 本文二维码信息
码上扫一扫!
基于颜色和形状特征的黄瓜霜霉病自动识别研究
王雪,马卓,王欣,姜丹,刘小溪,贾志雷
0
(吉林省科学技术信息研究所,长春 130021)
摘要:
利用计算机图像处理技术,对农作物病害的自动识别做了实验性研究。以黄瓜霜霉病为例,采集了黄瓜霜霉病的数字图像作为试验样本,进行了灰度化处理、二值化处理、平滑化处理和边缘检测处理等,从病斑的形状和颜色两方面提取特征参数,利用k近邻法对样本进行分类识别,识别率达到95%。
关键词:  计算机图像处理  霜霉病  k近邻法  模式识别
DOI:
投稿时间:2013-04-11
基金项目:吉林省世行贷款农产品质量安全项目(2011-Z20)资助。
Automatic recognition of cucumber downy mildew based on color and shape feature
WANG Xue,MA Zhuo,WANG Xin,JIANG Dan,LIU Xiao-xi,JIA Zhi-lei
(Institute of Scientific and Technical Information of Jilin, Changchun 130021)
Abstract:
In this paper, automatic identification of cucumber downy mildew was conducted using computer image processing. The digital image of the cucumber downy-mildew was collected, and then treated with gray processing, binary processing, smoothing processing and edge detection processing. Characteristic parameters were extracted from the two aspects of shape and color of the lesion, and then k-nearest neighbor method was used for classification and identification. The recognition rate was up to 95%.
Key words:  computer image processing  downy mildew  k-nearest neighbor method  pattern recognition

用微信扫一扫

用微信扫一扫