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茶叶科学 ›› 2012, Vol. 32 ›› Issue (5): 377-381.doi: 10.13305/j.cnki.jts.2012.05.004

• •    下一篇

自然环境下茶树嫩梢识别方法研究

韦佳佳1, 陈勇1*, 金小俊1, 郑加强1, 石元值2, 张浩1   

  1. 1. 南京林业大学机械电子工程学院,江苏 南京 210037;
    2. 中国农业科学院茶叶研究所,浙江 杭州310008
  • 收稿日期:2011-11-10 修回日期:2012-03-21 出版日期:2012-10-15 发布日期:2019-09-05
  • 通讯作者: chenyongnj@sohu.com
  • 作者简介:韦佳佳(1987— ),男,广西恭城人,硕士研究生,主要从事数字图像处理与自动控制系统研究。
  • 基金资助:
    “十二五”国家科技支撑计划项目(2011BAD20B07)

Researches on Tender Tea Shoots Identification under Natural Conditions

WEI Jia-jia1, CHEN Yong1*, JIN Xiao-jun1, ZHENG Jia-qiang1, SHI Yuan-zhi2, ZHANG Hao1   

  1. 1. College of Electronic and Mechanical Engineering, Nanjing Forestry University, Jiangsu 210037, China;
    2. Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
  • Received:2011-11-10 Revised:2012-03-21 Online:2012-10-15 Published:2019-09-05

摘要: 嫩梢识别是实现名优茶智能采摘的前提。本文以茶树嫩梢为研究对象,基于色彩因子开展了自然环境下嫩梢识别研究,提出了采用RGB空间的R-B、YIQ空间的I、Lab空间的b、HSI空间的S,以及YCrCb空间的Cb 5种色彩因子进行图像灰度化,并选择合适的方法进行图像阈值分割,最后采用中值滤波的方法消除噪声。试验结果表明,这些方法都能够在自然环境下有效地区分嫩梢和背景,为后续名优茶智能化采茶机的研究打下理论基础。

关键词: 名优茶, 嫩梢识别, 色彩因子, 阈值分割

Abstract: Identification of the tender tea shoots is the key step towards the intelligent tea harvesting. This paper presents several methods to recognize the tender tea shoots for high-quality tea production. Gray images were obtained by five color indices, which were R-B, I, b, S and Cb in RGB, YIQ, Lab, HSI and YCrCb color spaces. Then suitable threshold methods were applied to segment image, finally the median filter was used to eliminate noises. The results indicate that these methods were particularly effective for tender tea shoots identification under their natural conditions. The proposed method can be used for future intelligent tea harvest development.

Key words: high-quality tea, tender tea shoots identification, color indices, threshold segmentation

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