第34卷，第10期 2014年10
光谱学与光谱分析 Spectroscopy and Spectral Analysis
Vol. 34,No. 10 -pp2758-2763
October.2014
Analysis of Tobacco Color and Location Features Using
Visible-NearInfrared Hyperspectral Data
CAIJia-yue,LIANGMiao',WENYa-dong,YUChun-xia WANG Luo-ping,WANG Yi?,ZHAO Long-lian',LI Jun-hui
1. College of Information and Electrical Engineering , China Agricultural University , Beijing100083, China 2. Technology Center of Yunnan Tobaceo Industry Co ., Ltd., Kunming650231, China
Abstract In the present paper, six categories of standard industrial grading tobacco provided by Hongta Group are taken as experimental samples , including three different tobacco locations-upper (B), middle (C ) and lower(X) parts , with each part containing two kinds of tobacco colors -orange (O) and lemon yellow (L ), Two methods including projection model method based on principal component and Fisher criterion (PPF) and support vector machine (SV M ) method are used to analyze color and location features of tobacco based on visi ble-near infrared hyperspectral data . The results of projection model method indicate that in the projection and similarity analysis of tobacco color , location and six tobacco groups classified by color and location , two kinds of color can be fully differentiated , of which the similarity value is 1, O00 8. Tobacco from upper and lower parts can also be fully differentiated with similarity value O, 405 3 , but they both have intersections with tobac-co from middle part . Six tobacco groups classified by color and location can be fully differentiated as well and their projection positions meet the actual external features of tobacco . The results of support vector machine method indicate that in the discriminant analysis of tobacco color , location and six tobacco groups classified by color and location , the average recognition rate of tobacco colors reaches 98% . The average recognition rate of tobacco location is 96% . The average recognition rate of six tobacco groups is 94% . Therefore , it's feasible to analyze color and location features of tobacco using visible-near infrared hyperspectral data , which can provide reference for tobacco quality evaluation , computer-aided grading and tobacco intelligent acquisition , and also offers a new approach to the analysis of exterior features of other agricultural products .
KeywordsVisible-near infrared hyperspectral data ; Tobaceo ; Color features ; Location features
中图分类号：0657.3
Introduction
文献标识码：A
DOI : 10. 3964 /j. issn. 1000-0593(2014)10-2758-06
color value of modulated fresh tobacco , which is generated from the presence of different proportions of various pigments and is the second grouping factor . In the management of to-
Tobacco grading is a basic work in the tobacco industry and it's a key factor for improving tobacco products ' quality to make an accurate grading of tobacco quality according to national standards . In the course of tobhacco grading , the clas-sification of tobacco color and location is one of the important issues . Tobacco color refers to the hue , color saturation and
Received : 2014-05-25 ; accepted : 2014-07-30
bacco quality , location is one of the important key features . Considering the smoking characteristics , as the location is closer to the top , the amount of aroma becomes larger and the concentration of aroma gets higher[3-s] , According to the dif-ferent locations on the plants , tobacco can be generally divid. ed into three major types-the upper , the middle and the low-
Foundation item : National Natural Science Foundation of China (6114402), Technology Project of Hongta Tobacco Group Co ., Ltd. Biography : CAI Jia-yue, (1990—), Postgraduate student of China Agricultural Uniersity
Corresponding author
e-mail : cauni@ cau .edu -cn