Image detection and verification of visual navigation route during cotton field management period

Authors

  • Jingbin Li 1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; 2. Key Laboratory for Agricultural Machinery of Xinjiang BINGTUAN, Shihezi University, Shihezi 832003, China
  • Rongguang Zhu 1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; 2. Key Laboratory for Agricultural Machinery of Xinjiang BINGTUAN, Shihezi University, Shihezi 832003, China
  • Bingqi Chen College of Engineering, China agricultural University, Beijing 100083, China

DOI:

https://doi.org/10.25165/ijabe.v11i6.3976

Keywords:

visual navigation, route detection, Hough transformation passing the known point, cotton field management period

Abstract

In order to meet the actual operation demand of visual navigation during cotton field management period, image detection algorithm of visual navigation route during this period was investigated in this research. Firstly, for the operation images under natural environment, the approach of color component difference, which is applicable for cotton field management, was adopted to extract the target characteristics of different regions inside and outside cotton field. Secondly, the median filtering method was employed to eliminate noise in the images and realize smoothing process of the images. Then, according to the regional vertical cumulative distribution graph of the images, the boundary characteristic of the cotton seedling region was obtained and the central position of the cotton seedling row was determined. Finally, the detection of the candidate points cluster was realized, and the navigation route was extracted by Hough transformation passing the known point. The testing results showed that the algorithms could rapidly and accurately detect the navigation route during cotton field management period. And the average processing time periods for each frame image at the emergence, strong seedling, budding and blooming stages were 41.43 ms, 67.83 ms, 68.80 ms and 74.05 ms, respectively. The detection has the advantage of high accuracy, strong robustness and fast speed, and is simultaneously less vulnerable to interference from external environment, which satisfies the practical operation requirements of cotton field management machinery. Keywords: visual navigation, route detection, Hough transformation passing the known point, cotton field management period DOI: 10.25165/j.ijabe.20181106.3976 Citation: Li J B, Zhu R G, Chen B Q. Image detection and verification of visual navigation route during cotton field management period. Int J Agric & Biol Eng, 2018; 11(6): 159–165.

Author Biographies

Jingbin Li, 1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; 2. Key Laboratory for Agricultural Machinery of Xinjiang BINGTUAN, Shihezi University, Shihezi 832003, China

Department of Agricultural Mechanization Engineering, Professor

Rongguang Zhu, 1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China; 2. Key Laboratory for Agricultural Machinery of Xinjiang BINGTUAN, Shihezi University, Shihezi 832003, China

Department of Mechanical Engineering, Associate Professor

Bingqi Chen, College of Engineering, China agricultural University, Beijing 100083, China

Department of Mechanical Engineering, Professor

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Published

2018-12-01

How to Cite

Li, J., Zhu, R., & Chen, B. (2018). Image detection and verification of visual navigation route during cotton field management period. International Journal of Agricultural and Biological Engineering, 11(6), 159–165. https://doi.org/10.25165/ijabe.v11i6.3976

Issue

Vol. 11 No. 6 (2018): IJABE

Section

Information Technology, Sensors and Control Systems

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