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基于图像处理的黄瓜叶片病斑分级方法的研究
引用本文:关辉,张长利,张春媛. 基于图像处理的黄瓜叶片病斑分级方法的研究[J]. 农机化研究, 2010, 32(3)
作者姓名:关辉  张长利  张春媛
作者单位:1. 东北农业大学,工程学院,哈尔滨,150030
2. 北京科技职业技术学院,计算机学院,北京,102100
摘    要:目前由于植物病理学中辨别病害主要以目测为主,主观判断占据主导。为了实现可靠的病害诊断,开发出一种基于计算机图像处理技术的病害分级新方法,并运用了分水岭法提取叶片区域。为了减少由光照变化产生的干扰,经比较提出了在YUV颜色模型下选取V分量进行病斑分割的方法。最后通过计算病斑面积与叶片面积的比例得出病害的染病级别。实验表明,该方法能够快速准确地对黄瓜叶片病害的严重程度进行分级,具备良好的分类能力。

关 键 词:图像处理  病害分级  黄瓜叶片  

Grading Method of Cucumber Leaf Spot Disease Based on Image Processing
Guan Hui,Zhang Changli,Zhang Chunyuan. Grading Method of Cucumber Leaf Spot Disease Based on Image Processing[J]. Journal of Agricultural Mechanization Research, 2010, 32(3)
Authors:Guan Hui  Zhang Changli  Zhang Chunyuan
Affiliation:1.Engineering College/a>;Northeast Agricultural University/a>;Harbin 150030/a>;China/a>;2.Computer College/a>;University for Science & Technology Beijing/a>;Beijing 102100/a>;China
Abstract:At present,in the plant pathology distinguishes plant disease mainly to measure with the eye primarily,and judges the hold leadership subjectively.To realize the reliable plant disease diagnosis,the paper developed a new disease grading method based on computer image processing.The article has utilized the watershed law extraction leaf blade region;In order to reduce the disturbance which produced by the illumination change,with the comparison,this paper selected V component to carry on sickness spot divisi...
Keywords:image processing  disease grading  cucumber leaves  
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