Detection and characterization of spike architecture based on deep learning and X-ray computed tomography Image segmentation in barley.
All codes were written by python.
Scripts/U-net_prediction.py : A high-throughput pipeline of CT image processing with UNet-based segmentation pipeline.
Scripts/Extraction.py : Extraction of barley spike morphological features.
Scripts/requirements.txt : Authors' python environments.
original X-ray CT images datasets of barley varieties
| ID | Barley varieties |
| 1635 | IG38794 |
| 1644 | IG38679 |
| 1677 | KENIA |
| 1678 | PROCTOR |
| 1679 | BEKA |
| 1682 | Diamant |
| 1683 | EU optic |
| 1685 | EU Annabel |
| 1686 | Alexis |
| 1721 | s28829 |
| 1765 | s25897 |
| 1725 | s128172 |
UNet training datasets
UNet predicted results
Extraction pipeline results