• 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