温室内病虫害的光学监测  

Optics Measure in Glasshouse Plant Diseases and Insect Pests

作　　者：罗皓飞[1] 

机构地区：[1]国防科技大学光电工程与科学学院,长沙410073

出　　处：《农机化研究》2008年第11期71-72,80,共3页Journal of Agricultural Mechanization Research

摘　　要：随着科技的进步,温室已成为种植各种蔬菜尤其是反季节蔬菜的重要手段,是菜篮子建设的重要工程。为此,主要利用傅立叶光学原理,将频谱术利用到病虫害的光学监测上来,通过光学图像相减和联合变换相关的方法,对温室内的病虫害实施动态的、智能的、无人化的实时监测,对潜在的病虫害进行预警,实现对温室的全自动化管理,从而有效保证人民群众的日常生活利益。Aimed at solving the problem that currently grading of plant diseases are mainly based on eyeballing, the paper developed a new disease grading method based on computer image processing. Having analyzed influencing factors exist in the process of image segmentation, leaf region was segmented using Otsu thresholding method ; proposed to choose H component segmenting disease spot under HSI color space to reduce illumination changes and the leaf vein disturbance, used Sobel operator examine disease spot edges and then disease spot regions were segmented. Rank of disease infected is obtained by calculating the quotient of disease spot and leaf areas. Research indicate that using method put forward by the paper to grade plant leaf spot diseases is fast and accurate.

关 键 词：温室 傅立叶光学 傅立叶频谱术 光学图像相减 联合变换相关 菜篮子工程 

分 类 号：S625.51[农业科学—园艺学]