Research Article
Study on 3D Reconstruction of Plant Root Phenotype Based on X-CT Technique
@INPROCEEDINGS{10.1007/978-3-030-62483-5_20, author={Xin Guan and Jinpeng Wang and Yang Zhou and Kemo Jin and Nianyu Zou}, title={Study on 3D Reconstruction of Plant Root Phenotype Based on X-CT Technique}, proceedings={Green Energy and Networking. 7th EAI International Conference, GreeNets 2020, Harbin, China, June 27-28, 2020, Proceedings}, proceedings_a={GREENETS}, year={2020}, month={11}, keywords={In situ non-destructive measurement X-CT tomography Fuzzy clustering segmentation FCM algorithm}, doi={10.1007/978-3-030-62483-5_20} }- Xin Guan
Jinpeng Wang
Yang Zhou
Kemo Jin
Nianyu Zou
Year: 2020
Study on 3D Reconstruction of Plant Root Phenotype Based on X-CT Technique
GREENETS
Springer
DOI: 10.1007/978-3-030-62483-5_20
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.
