您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Selecting Candidate Regions of Clustered Tomato Fruits Under Complex Greenhouse Scenes Using RGB-D Data

文献类型： 外文期刊

作者： Qiu Quan 1 ; Tian Lanlan 2 ; Qiao Xiaojun 1 ; Jiang Kai 1 ; Feng Qingchun 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

2.Harbin Inst Technol, Weihai 264209, Peoples R China

关键词： RGB-D;candidate region selection;clustered tomato fruits detection;complex greenhouse scene

期刊名称：2017 3RD INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR)

ISSN：

年卷期： 2017 年

页码：

收录情况： SCI

摘要： This paper presents a new candidate region selecting strategy for detecting clustered tomato fruits using RGB-D data, which is taken in complex greenhouse scenes. The strategy employs both color and depth information in the same Kinect sensing frame. First, one Kinect frame is processed to generate three separate images, including depth image, RGB color image, and S channel image in HSI color space. The images are processed with depth threshold, green enhancement and saturation threshold correspondingly. And a frontground mask image will be generated with the processed images through intersection and union operations. Second, depth gray image and color gray image will be filtered with the frontground mask. And candidate fruit regions can be obtained after open-close reconstruction. Experimental results show that the strategy can greatly cut down the regions of interests while keeping all the true fruit regions.

  • 相关文献

[1]基于脸部RGB-D图像的牛只个体识别方法. 刘世锋,常蕊,李斌,卫勇,王海峰,贾楠. 2023

[2]A New Algorithm for Greenhouse Corridor Edge Detection with RGB-D Data. Qiu Quan,Meng Zhijun,Qiu Quan,Meng Zhijun. 2015

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台