Recognition of the unripe strawberry by using color segmentation techniques

  • Authors

    • Mohammed Abdulraheem Fadhel
    • Ahmed Samit Hatem
    • Muhanad Abdul Elah Alkhalisy
    • Fouad H. Awad
    • Laith Alzubaidi
    https://doi.org/10.14419/ijet.v7i4.21679

  • In this paper, the efficiency comparison is displayed for recognize the unripe strawberry fruit using two different methods; color thresholding and K-means clustering. Color thresholding technique includes the following steps: color thresholding, morphological enhancement and draw mark for tracking. K-means clustering comprises filtering, transform the image to L*a*b color space, binary thresholding and extract the desired strawberry region. The results explained that color thresholding gets the better of K-means in the aspect of accuracy, effectiveness, and speed of code implementation. Both interested parties are written using MATLAB (R2018a) language.

  • References

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  • How to Cite

    Fadhel, M. A., Hatem, A. S., Alkhalisy, M. A. E., Awad, F. H., & Alzubaidi, L. (2018). Recognition of the unripe strawberry by using color segmentation techniques. International Journal of Engineering & Technology, 7(4), 3383-3387. https://doi.org/10.14419/ijet.v7i4.21679