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Vanishing Point Conducted Diffusion for Crop Rows Detection

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Advances in Intelligent, Interactive Systems and Applications (IISA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Acknowledgements

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

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Authors and Affiliations

  1. College of Science, Jiangxi Agricultural University, Nanchang, 330045, China

    Jian Wu, Mengwei Deng, Lianlian Fu & Jianqun Miao

Authors
  1. Jian Wu
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  2. Mengwei Deng
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  3. Lianlian Fu
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  4. Jianqun Miao
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Corresponding author

Correspondence to Jian Wu .

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Editors and Affiliations

  1. Department de Ciències de la Computació, Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Department of Business Systems and Analytics, La Salle University, Philadelphia, PA, USA

    Madjid Tavana

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Wu, J., Deng, M., Fu, L., Miao, J. (2019). Vanishing Point Conducted Diffusion for Crop Rows Detection. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent, Interactive Systems and Applications. IISA 2018. Advances in Intelligent Systems and Computing, vol 885. Springer, Cham. https://doi.org/10.1007/978-3-030-02804-6_54

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