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A Region Based Seed Detection for Root Detection in Minirhizotron Images

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2781))

Abstract

Automatic analysis of plant root images is very important for the analysis of root architecture and morphology as requested by ecological, agronomic and biological studies. Extending the approach in [1] we improve the detection of special root parts called seeds which are expanded to complete roots in a subsequent step. Replacing the original contour based seed detection by a region based one allows us to take more global information into account. As the seed detection influences the overall performance strongly the such acquired improvements benefit the whole root detection significantly.

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References

  1. Jankowski, M.: Automatische Detektion von Wurzelsystemen in Minirhizotron-Bildern, Bielefeld (1995)

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  2. Smit, A.L., et al. (eds.): Root Methods. Springer, Heidelberg (2000)

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  3. Bates, G.H.: A device for the observation of root growth in the soil. Nature 139, 966–967 (1937)

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  4. Smucker, A.J.M., Ferguson, J., DeBruyn, W.P., Belford, R.K., Ritchie, J.T.: Image Analysis of Video–Recorded Plant Root Systems. In: Minirhizothrons Observation Tubes: Methods and Applications for Measuring Rhizosphere Dynamics, vol. (50), pp. 67–80. ASA Special Publications (1987)

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© 2003 Springer-Verlag Berlin Heidelberg

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Erz, G., Posch, S. (2003). A Region Based Seed Detection for Root Detection in Minirhizotron Images. In: Michaelis, B., Krell, G. (eds) Pattern Recognition. DAGM 2003. Lecture Notes in Computer Science, vol 2781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45243-0_62

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  • DOI: https://doi.org/10.1007/978-3-540-45243-0_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40861-1

  • Online ISBN: 978-3-540-45243-0

  • eBook Packages: Springer Book Archive

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