数字图像处理,农作物,病虫草,识别," /> 数字图像处理,农作物,病虫草,识别,"/> digital image processing,crop,disease, pest, and weed,recognition,"/> <font face="Verdana">数字图像处理技术在农作物病虫草识别中的应用</font>

中国农业科学 ›› 2009, Vol. 42 ›› Issue (7): 2349-2358 .doi: 10.3864/j.issn.0578-1752.2009.07.012

• 植物保护 • 上一篇    下一篇

数字图像处理技术在农作物病虫草识别中的应用

管泽鑫,姚 青,杨保军,胡 洁,唐 健   

  1. (浙江理工大学信息电子学院)
  • 收稿日期:2008-10-21 修回日期:2008-12-18 出版日期:2009-07-10 发布日期:2009-07-10
  • 通讯作者: 唐健

Application of Digital Image Processing Technology in Recognizing the Diseases, Pests, and Weeds from Crops #br#

GUAN Ze-xin, YAO Qing, YANG Bao-jun, HU Jie, TANG Jian   

  1. (浙江理工大学信息电子学院)
  • Received:2008-10-21 Revised:2008-12-18 Online:2009-07-10 Published:2009-07-10
  • Contact: tangjian@mail.hz.zj.cn

摘要: 综述了近年来国内外在农作物病虫草识别中应用的主要图像处理方法,包括颜色空间区分法、纹理特征分析法、形态特征分析法、小波分析法、多种参数结合分析法以及特殊图像的分析法,概述了各种方法的原理,比较了各种处理方法的优缺点,并对相关的模式识别方法做了简要概括,最后指出目前研究存在的问题及今后的研究方向。

关键词: 数字图像处理')">数字图像处理, 农作物, 病虫草, 识别

Abstract:

The major image processing methods used for the reorganization of diseases, pests, and weeds from crops were reviewed. These methods include color space partition method, texture feature analysis method, morphological feature analysis method, wavelet analysis methods, multi-parametric analysis method and special image analysis method. The principles of these methods were introduced and their advantages and disadvantages were compared. In addition, the pattern recognition methods that related to the above methods were also summarized briefly. Finally, some concerns as well as further researches in this field were discussed.

Key words: digital image processing')">digital image processing, crop, disease, pest, and weed, recognition