Matematikcentrum

Lund University

  • Titel: Multimodal 3D image analysis of oat and barley seeds – segmentation and machine learning
  • Kort beskrivning:

    Analysis of 3D images using X-rays and neutrons allow for complementary non-destructive analysis of structure and chemical composition of biological materials such as oat and barley seeds using machine learning techniques. Contrast differences between the modes arise due to the differences in interaction with seed matter. Due to the high sensitivity to hydrogen, neutrons are useful for separating liquid water or hydrogenous phases from the underlying structure while X-rays resolve the solid structure.

  • Lång beskrivning:

    Analysis of 3D images using X-rays and neutrons allow for complementary non-destructive analysis of structure and chemical composition of biological materials such as oat and barley seeds using machine learning techniques. Contrast differences between the modes arise due to the differences in interaction with seed matter. Due to the high sensitivity to hydrogen, neutrons are useful for separating liquid water or hydrogenous phases from the underlying structure while X-rays resolve the solid structure.

  • Info: PDF
  • Kontaktperson: Anders Heyden