基于图像处理的黄瓜叶片含水量无损检测研究  

Research on Non-destructive Detecting of Cucumber Leave Water Content Based on Image Procession

作　　者：孙瑞东[1] 于海业[2] 于常乐[2] 张蕾[2] 

机构地区：[1]吉林大学通信工程学院,长春130022 [2]吉林大学农业与生物工程学院／地面机械仿生技术教育部重点实验室,长春130022

出　　处：《农机化研究》2008年第7期87-89,共3页Journal of Agricultural Mechanization Research

基　　金：国家科技支撑计划资助项目(2006BAD11A10)

摘　　要：以黄瓜为例,进行基于图象处理技术的叶片含水量无损检测研究。建立含水量图像采集及检测系统,并通过试验确定光源条件及最适背景光下叶片含水量与图像特征参数关系曲线。采用非线性最小二乘拟合方法,建立Log-Modified回归模型。本研究实现了通过黄瓜叶片图像特征判断缺水状态的无损检测目的,为指导温室合理灌溉提供了理论基础。Taking cucumber for example, non - destructive detecting of leave water content based on image procession was researched. Systems of imaging and detecting were established, and the relation curve between leave water content and image character was drawn under conditions of most suitable background light. Log - Modified regression model was retrieved via least square fitting. This study reached non - destructive testing of leave water shortage by image character ofcucumber leaves and was a theoretical base of reasonable irrigation in green house.

关 键 词：图像处理 含水量 无损检测 回归模型 

分 类 号：S126[农业科学—农业基础科学] S607