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Research on segmentation of weed images based on computer vision

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Journal of Electronics (China)

Abstract

In this letter, a segment algorithm based on color feature of images is proposed. The algorithm separates the weed area from soil background according to the color eigenvalue, which is obtained by analyzing the color difference between the weeds and background in three color spaces RGB, rgb and HSI. The results of the experiment show that it can get notable effect in segmentation according to the color feature, and the possibility of successful segmentation is 87%–93%. This method can also be widely used in other fields which are complicated in the background of the image and facilely influenced in illumination, such as weed identification, tree species discrimination, fruit picking and so on.

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Authors and Affiliations

  1. School of Information Engineering, Hebei University of Technology, Tianjin, 300130, China

    Liu Yajing (female, master), Yang Fan, Yang Ruixia, Jia Kejin & Zhang Hongtao

Authors
  1. Liu Yajing
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  2. Yang Fan
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  3. Yang Ruixia
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  4. Jia Kejin
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  5. Zhang Hongtao
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Corresponding author

Correspondence to Liu Yajing.

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Cite this article

Liu, Y., Yang, F., Yang, R. et al. Research on segmentation of weed images based on computer vision. J. of Electron.(China) 24, 285–288 (2007). https://doi.org/10.1007/s11767-006-0151-0

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  • DOI: https://doi.org/10.1007/s11767-006-0151-0

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