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Journal of Tea Science ›› 2008, Vol. 28 ›› Issue (6): 420-424.doi: 10.13305/j.cnki.jts.2008.06.001

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Identification investigation of Tea Based on HSI Color Space and Figure

WANG Jian, DU Shi-ping   

  1. College of Biology and Science, Sichuan Agricultural University Yaan 625014, China
  • Received:2008-05-09 Online:2008-12-15 Published:2019-09-12

Abstract: The figure characteristics of tea and improved neural-network, computer vision and image processing were combined together to realize automatic identification of external quality of tea leaf. Firstly a tea-leaf image was obtained by a digital camera directly. The parameters of tea HSI model and parameters of the figure was extracted to identify tea leaf after image conversion and preprocess. Then completed automatically identify of tea-leaf through the Genetical-Neural network. The experiments reveal that the method improves the consistence between computer inspection and manual inspection.

Key words: tea, color, figure, image processing, genetical-arithmetic, neural-network, identification

CLC Number: