A Fruit Size Detecting and Grading System Based on Image Processing

  title={A Fruit Size Detecting and Grading System Based on Image Processing},
  author={Hongshe Dang and Jinguo Song and Qin Guo},
  journal={2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics},
This paper presents a fruit size detecting and grading system based on image processing. After capturing the fruit side view image, some fruit characters is extracted by using detecting algorithms. According to these characters, grading is realized. Experiments show that this embedded grading system has the advantage of high accuracy of grading, high speed and low cost. It will have a good prospect of application in fruit quality detecting and grading areas. 
Highly Cited
This paper has 20 citations. REVIEW CITATIONS


Publications referenced by this paper.
Showing 1-10 of 14 references

Design of Conveyer and Turnover Mechanism of Apple Grader

  • Li Jing, Zhang Dongxing, Liu Bao
  • vol. 5,
  • 2009

Method for Irregular Solid Surface Area Measurement Based on Image Processing

  • Hong Ying, Dang Hongshe, Song Jinguo
  • Computer Measurement & Control.vol. 9,
  • 2009

Real time in section technology of fruit quality using machineVision

  • Xiuqin Rao
  • Zhejiang university,
  • 2007
1 Excerpt

Image Edge Detecting Method Based on Fractal Feature

  • Zhang Kunhua, Wang Jingru, Zhang Qiheng
  • Opt-Electronic Engineering
  • 2006

Separation Approach for Shape Grading of Fruits

  • Lin Kaiyan, Wu Junhui, Xu Lihong
  • Using Computer Vision”, Transactions of the…
  • 2005

Study on Apple External Character Detection and Grading Based on Computer Vision Theory

  • Yuan Jinli
  • China Agricultural University,
  • 2005
2 Excerpts

The Research and Implement of Video System based on Embedded Linux Operating System”,TianJin

  • Jiang Ping
  • 2005

Detecting Method of Fruit Size

  • Feng Bin, Wang Maohua
  • Based on Computer Vision”, Transactions of the…
  • 2003

Research on Grading of Apple’s Shape Based on Machine vision

  • Li Xiuqin
  • Nanjing Agricultural University,
  • 2003
1 Excerpt

Similar Papers

Loading similar papers…