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Vanishing Point Conducted Diffusion for Crop Rows Detection

  • Jian WuEmail author
  • Mengwei Deng
  • Lianlian Fu
  • Jianqun Miao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 885)

Abstract

A partial differential equation based diffusion is presented for crop rows detection. In the diffusion, the evolving direction is estimated through the vanishing point, which is one of global feature of row-crop images. According to the vanishing point, we generate the orientations of row crop textures, and then integrate the induced field of directions into an oriented diffusion. After processing the row-crop image with the new diffusion, we extract the crop rows from its black-white version using a morphological operation. Experiments on the real row-crop image data show the proposed diffusion can suppress the undesired interference more efficiently than the other diffusion when extracting crop rows.

Keywords

Partial differential equation Vanishing point Oriented diffusion Crop row detection 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China (NNSFC) (Grant 61561025 and 71561014).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jian Wu
    • 1
    Email author
  • Mengwei Deng
    • 1
  • Lianlian Fu
    • 1
  • Jianqun Miao
    • 1
  1. 1.College of ScienceJiangxi Agricultural UniversityNanchangChina

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