[1]姜宏涛,何博侠,章亚非.采茶机械手嫩芽识别与定位方法研究[J].机械与电子,2021,(07):60-64.
 JIANG Hongtao,HE Boxia,ZHANG Yafei.Research on the Method of Recognizing and Positioning the Shoots of the Tea Picking Manipulator[J].Machinery & Electronics,2021,(07):60-64.
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采茶机械手嫩芽识别与定位方法研究()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年07期
页码:
60-64
栏目:
智能工程
出版日期:
2021-07-19

文章信息/Info

Title:
Research on the Method of Recognizing and Positioning the Shoots of the Tea Picking Manipulator
文章编号:
1001-2257 ( 2021 ) 07-0060-05
作者:
姜宏涛何博侠章亚非
南京理工大学机械工程学院,江苏 南京 210094
Author(s):
JIANG Hongtao HE Boxia ZHANG Yafei
( School of Mechanical Engineering , Nanjing University of Science and Technology , Nanjing 210094 , China )
关键词:
机械手茶叶采摘分水岭算法视觉导引
Keywords:
manipulator tea picking watershed algorithm visual guidance
分类号:
TP242 ; TP391. 41
文献标志码:
A
摘要:
为实现采茶设备的选择性采摘,针对嫩芽的识别与定位方法进行研究.通过对比各种色彩因子组合,提取G-B分量对嫩芽图像进行灰度化处理,并在传统分水岭算法的基础上,引入BM3D去噪算法和灰度拉伸法对待分割嫩芽图像进行处理,分割出较完整的嫩芽图像.然后通过SURF算法进行特征点提取,结合RANSAC算法和极线约束去除误匹配点,在最小外接矩形法与双目测距原理的基础上完成茶叶采摘点的三维空间定位.最后通过采茶机械手进行定位实验,实验结果表明该方法基本满足采摘要求.
Abstract:
In order to realize the selective picking of tea picking equipment , the method of identifying and positioning the buds is studied. By comparing various color factor combinations , extracting G-B components to grayscale the bud image , and on the basis of the traditional watershed algorithm , using the BM3D denoising algorithm and grayscale stretching method to process the segmented bud image. Segment a more complete shoot image.Then use the SURF algorithm to extract the feature points , use the RANSAC algorithm and the epipolar constraint to remove the mismatched points , and combine the minimum bounding rectangle method and the binocular distance measurement principle to complete the three-dimensional location of the tea picking point. Finally , the positioning experiment was carried out by the tea picking manipulator , and the experimental results showed that the method basically met the picking requirements.

参考文献/References:

[1] 姚波,汪洋,李小瑞,等 . 自然环境下嫩芽与茶梗自动分割方法的研究[ J ] . 黑龙江八一农垦大学学报, 2017 , 29( 2 ): 114-117 , 128.

[2] 张可,吕军 . 自然条件下茶叶嫩芽图像分割方法的研究[ J ] . 黑龙江八一农垦大学学报, 2016 , 28 ( 2 ): 100-104.
[3] 周礼赞,方梦瑞,吕军 . 低对比度茶叶嫩芽图像自动分割方法的研究[ J ] . 蚕桑茶叶通讯, 2019 ( 2 ): 22-25.
[4] 黄海军,吴明晖,王先伟,等 . 基于改进分水岭算法的茶叶嫩叶图像识别[ J ] . 贵州农业科学, 2018 , 46 ( 4 ): 136-138.
[5] 袁加红,张中正,朱德泉,等 . 名优绿茶嫩芽识别与定位方法研究[ J ] . 安徽农业大学学报, 2016 , 43 ( 5 ): 676-681.
[6] 唐仙,吴雪梅,张富贵 . 基于阈值分割法的茶叶嫩芽识别研究[ J ] . 农业装备技术, 2013 , 39 ( 6 ): 10-14.
[7] 方坤礼,廖建平,刘晓辉 . 基于改进JSEG技术的茶叶图像嫩芽分割与识别研究[ J ] . 食品工业, 2017 , 38 ( 4 ):134-138.
[8] 王琨,刘大茂 . 基于深度学习的茶叶状态智能识别方法[ J ] . 重庆理工大学学报(自然科学版), 2015 , 29 ( 12 ):120-126.
[9] 孙肖肖,牟少敏,许永玉,等 . 基于深度学习的复杂背景下茶叶嫩芽检测算法[ J ] .河北大学学报(自然科学版),2019 , 39 ( 2 ): 211-216.
[10] MAKINEN Y , AZZARI L , FOI A.Exact transform-domain noise variance for collaborative filtering of stationary correlated noise [ C ]// 2019IEEE International Conference on Image Processing.New York : IEEE , 2019 : 185-189.

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备注/Memo

备注/Memo:
收稿日期: 2021-02-17
基金项目:国家自然科学基金资助项目( 51575281 );中央高校基本科研业务费专项资金资助项目(30916011304)
作者简介:姜宏涛 ( 1997- ),男,湖南岳阳人,硕士研究生,研究方向为机器视觉;何博侠 ( 1972- ),男,甘肃西和人,博士,副教授,研究方向为机器视觉和工业人工智能等,通信作者;章亚非 ( 1997- ),男,安徽阜阳人,硕士研究生,研究方向为机器视觉.
更新日期/Last Update: 2021-07-19