摘要
主要研究了基于图像处理技术的黄瓜叶部病害识别诊断系统。该系统主要包括图像预处理模块、图像分割模块、图像特征提取模块及图像模式识别模块等。同时,对关键模块中的复杂背景下的图像分割及支持向量机的模式识别方式作了比较详细的介绍。实践表明,该系统能方便、快速地识别黄瓜各类病害,具有较好地推广性和应用价值。
This paper mainly studied the identification and diagnostic system of cucumber leaf disease based on the image processing technology,including the image preprocessing module,image segmentation module,image feature extraction module and image pattern recognition module,etc. Then it gave a detailed description about image segmentation under the complex background of key modules as well as the SVM pattern recognition method. The practice shows that the system could easily and quickly identify cucumbers various diseases,which ensures its better promotion and application value.
出处
《农机化研究》
北大核心
2014年第9期213-215,225,共4页
Journal of Agricultural Mechanization Research
基金
辽宁省科学事业公益研究基金项目(2012005015)
辽宁省博士后集聚工程项目(2011921012)
关键词
图像处理技术
黄瓜
病害
诊断系统
image processing technology
cucumber
disease
diagnostic system