Earticle

초록

영어

The maize seeds recognition is an important aspect of the seed quality testing and breeding. With the development of computer technology, it is an inevitable tendency to recognize seeds varieties and inspect quality using machine vision instead of human vision. For the characteristics of maize seeds and their images, seeds varieties recognition technology and algorithm was studied and explored in depth and their shape and color feature parameters were extracted. Based on 4 species including Nongda 108, Zhengdan 958, Ludan 981 and Jingdan 28, the classifier was designed using BP neural network to do varieties recognition testing. Research showed the average recognition accuracy was more than 94.5%, and that recognition and detection of maize seeds varieties based on the image technology is feasible.

목차

Abstract
 1. Introduction
 2. Image Acquisition and Feature Extraction System of Maize Seeds
  2.1. Image Acquisition
  2.2. Feature Extraction System
 3. Image Processing
  3.1. Median Filtering
  3.2. Graying
  3.3. Morphological Processing
 4. Feature Extraction
  4.1. Parameters of Shape Feature Extraction
  4.2. Color Feature Extraction
 5. Classification and Recognition Testing
  5.1. The Design and Training of BP Neural Network
  5.2. Maize Seeds Classification Testing
  5.3. Discussion
 6. Conclusion
 References

키워드

저자

• Dongming Li [ College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding, China ]
• Yongfu Liu [ College of Information Science and Technology, Agricultural University of Hebei, Baoding, China ]
• Liang Gao [ Office of Scientific and Technological Management, Agricultural University of Hebei, Baoding, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605