@article{fdi:010076675,
  title = {{A}dvantages of multi-region kriging over bi-region techniques for computed tomography-scan segmentation},
  author = {{A}zhar, {M}. and {C}hang, {X}. and {D}ebes, {J}. and {D}elmas, {P}. and {D}uwig, {C}{\'e}line and {D}al {F}erro, {N}. and {G}ee, {T}. and {M}arquez, {J}. and {M}orari, {F}. and {M}uller, {K}. and {M}ukunoki, {T}. and {P}iccoli, {I}. and {S}trozzi, {A}. {G}.},
  editor = {},
  language = {{ENG}},
  abstract = {{Q}uantifying the structure of soil is essential for developing effective soil management for farming and environmental conservation efforts. {O}ne approach to quantify soil structure is to scan intact soil cores by {X}-ray computed tomography ({CT}), which allows using computer vision algorithms to identify internal components within the soil. {O}ne commonly used approach is the colour-based segmentation of {CT}-scan soil images into two regions - matter and void - for the purpose of determining the soil porosity. {A} key problem with this approach is that soil {CT} images tend to be rather complicated, and thus this type of bi-region segmentation is a non-trivial problem, with algorithms following this type of bi-region approach typically performing unreliability across a variety of image sets. {I}n this work, a technique is proposed that identifies an optimal number of regions present in the soil, rather than just two. {I}t is claimed that this more sophisticated representation of soil structure leads to a more accurate representation than traditional bi-region segmentation; however, it is reducible to a bi-region segmentation yielding the required estimation of porosity with more accuracy and robustness than traditional methods. {I}t is also proposed that segmentation is performed using a multi-region kriging algorithm, which establishes relationships between distance and regions that allows the segmentation to overcome many of the artefacts and noise issues associated with {CT} scanning. {O}ur experiments focused on layer-by-layer segmentation and results demonstrated that the proposed approach produced segmentations consistent across a variety of scanned cores and were visually more correct than current state-of-the-art bi-region techniques.},
  keywords = {{MEXIQUE} ; {ITALIE} ; {JAPON} ; {NOUVELLE} {ZELANDE}},
  booktitle = {},
  journal = {{S}oil {R}esearch},
  volume = {57},
  numero = {6},
  pages = {521--534},
  ISSN = {1838-675{X}},
  year = {2019},
  DOI = {10.1071/sr18294},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076675},
}