DocumentCode :
595649
Title :
A new method for rapid detection of Total Colour (TC), Theaflavins (TF), thearubigins (TR) and Brightness (TB) in orthodox teas
Author :
Akuli, Amitava ; Pal, Arnab ; Joshi, Rajan ; Gulati, Aashini ; Dey, Tamal ; Bhattacharyya, Nabarun
Author_Institution :
Centre for Dev. of Adv. Comput., Kolkata, India
fYear :
2012
fDate :
18-21 Dec. 2012
Firstpage :
23
Lastpage :
28
Abstract :
Theaflavins (TF) and thearubigins (TR) are the important chemical compounds, which contribute to the colour and brightness of tea liquor. Estimation of TF and TR in black tea is generally done using a spectrophotometer. But, the analysis technique undergoes rigorous time consuming effort for sample preparation; also the operation of costly spectrophotometer requires expert manpower. To overcome above problems an electronic vision system (E-Vision system) based on image processing has been developed, which is faster, low cost, repeatable and can estimate the amount of Total Colour (TC), Brightness (TB), Theaflavins (TF) and TF/TR ratio for orthodox tea liquors. This paper describes the newly developed E-Vision system, experimental methods using orthodox black tea sample, data analysis algorithms and finally, the performance of the E-Vision system as compared to the results of traditional spectrophotometer. The data analysis is done using Principal Component Analysis (PCA) and Multiple Linear Regression (MLR). A correlation has been established between colour of tea liquor images and TC, TB, TR and TF/TR ratio.
Keywords :
chemical sensors; computerised instrumentation; data analysis; image processing; organic compounds; principal component analysis; regression analysis; specimen preparation; spectrophotometers; E-vision system; MLR; PCA; TB detection; TC detection; TF detection; TF estimation; TR detection; TR estimation; Theaflavins detection; Thearubigins detection; brightness detection; chemical compound; data analysis; electronic vision system; image processing; multiple linear regression; orthodox black tea liquor; principal component analysis; sample preparation; spectrophotometer; total colour detection; Accuracy; Brightness; Estimation; Image color analysis; Machine vision; Methanol; Principal component analysis; Electronic Vision system; MLR; PCA; Theaflavins; brightness; colour; orthodox tea; thearubigins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensing Technology (ICST), 2012 Sixth International Conference on
Conference_Location :
Kolkata
ISSN :
2156-8065
Print_ISBN :
978-1-4673-2246-1
Type :
conf
DOI :
10.1109/ICSensT.2012.6461679
Filename :
6461679
Link To Document :
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