农业工程学报2012，Vol.28Issue(4)：175-179,5.DOI:10.3969/j.issn.1002-6819.2012.04.029
基于计算机视觉技术的烟叶成熟度判定方法
Determination of tobacco leaf maturity degree based on computer vision technology
摘要
Abstract
Fast quantitative testing on the maturity of tobacco leaves is valuable to the tobacco harvest. The HSV color value of tobacco leaves was acquired approach via the process and exchange of image data collected from the sample leaves. The functional relationship between HSV color value and chlorophyll content and between chlorophyll content and SPAD value were established by the linear regression analysis. Based on the functional relationship between maturity degree and SPAD value, the TMDHSV relation model was set up between HSV color value and leaf maturity. And then the method was established for determination of tobacco leaf maturity degree based on computer vision technology. The approach has been proved feasible to acquire the maturity values of the growing tobacco leaves quickly.关键词
计算机视觉/判断分析/烟叶/成熟度/TMDHSV模型Key words
computer vision/ discriminant analysis/ tobacco/ maturity degree/ TMDHSV model分类
信息技术与安全科学引用本文复制引用
汪强,席磊,任艳娜,马新明..基于计算机视觉技术的烟叶成熟度判定方法[J].农业工程学报,2012,28(4):175-179,5.基金项目
农业部行业科研专项(20083028):"863"计划(2008AA10ZZ220):河南省重大科技攻关计划(082102140004) （20083028）
