Earticle

초록

영어

This study describes a new method for wheat rows detection at the middle growth stage based on Machine Vision. The algorithm includes three steps: (i) vegetation segmentation, (ii) centers points extraction and (iii) wheat rows detection. In the first step, color images were transformed into gray-level images and Otsu’s method was used to implement binarization. Based on the fact that the corresponding center points on two adjacent horizontal scanning lines can’t have a large deviation, in the second step, we firstly extracted the initial center points on the first scanning line based on a sliding window, and then gave a small shift based on positions of the initial center points which have been extracted on the previous scanning line to extract the center points for the next scanning line. Finally, the Randomized Hough transform (RHT) method was employed to locate the wheat rows. Test results indicate that the proposed method can effectively detect the wheat rows at the middle growth stage.

목차

Abstract
 1. Introduction
 2. Material and Methods
  2.1. Image Source and Experimental Equipment
  2.2. Vegetation Segmentation
  2.3. Center Points Extraction
  2.4. Wheat Rows Detection
 3. Results and Discussions
 4. Conclusion
 References

키워드

저자

• Changdong Ma [ School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo,454000,China ]
• Hongtu Zhao [ School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo,454000,China ]
• Xiaojie Wang [ School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo,454000,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