Abstract
The change of the global climate in recent years influences the adaptability of plant roots to the soil environment. Detecting the plant roots in the original soil environment without destroying and moving them and analyzing, processing and reconstructing the root image requires the improvement of technology. Firstly, to conduct the in-situ non-destructive measurement of the root system in soil, this paper investigates and studies the three-dimensional imaging of plant root phenotype using X-CT technology. Secondly, to examine the feasibility of the segmentation methods applied in medical image analysis in root CT images, the experiments of segmentation using fuzzy clustering of CT images were designed. The segmentation results of root features obtained from 10, 30 and 50 times clustering algorithms for the in-situ root CT images are analyzed with the FCM (Fuzzy C-Means) algorithm. The experimental results show that the traditional medical image segmentation method does not produce a good segmentation effect in this particular environment.
J. Wang and K. Jin—Contributed equally to this work.
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Acknowledgements
This research was financially supported via Project of the National Natural Science Foundation of China (61402069), the 2017 Project of the Natural Science Foundation of Liaoning province (20170540059), the General project of Liaoning education department in 2016 (2016J205).
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Guan, X., Wang, J., Zhou, Y., Jin, K., Zou, N. (2020). Study on 3D Reconstruction of Plant Root Phenotype Based on X-CT Technique. In: Jiang, X., Li, P. (eds) Green Energy and Networking. GreeNets 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-62483-5_20
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