Depth-Mining Network with Edge-Sensitive Context for Red-Green-Blue-Depth Surface Defect Segmentation

Mingxuan Luo, Qianwei Yang, Feng Yan

Open source

DOI: 10.3791/72642
Published: 2026-10-21
Container: Journal of Visualized Experiments
Publisher: MyJove Corporation
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3791/72642,
  title = {Depth-Mining Network with Edge-Sensitive Context for Red-Green-Blue-Depth Surface Defect Segmentation},
  author = {Mingxuan Luo and Qianwei Yang and Feng Yan},
  year = {2026},
  journal = {Journal of Visualized Experiments},
  doi = {10.3791/72642},
  url = {https://doi.org/10.3791/72642}
}

RIS

TY  - JOUR
TI  - Depth-Mining Network with Edge-Sensitive Context for Red-Green-Blue-Depth Surface Defect Segmentation
AU  - Mingxuan Luo
AU  - Qianwei Yang
AU  - Feng Yan
PY  - 2026
JO  - Journal of Visualized Experiments
DO  - 10.3791/72642
UR  - https://doi.org/10.3791/72642
ER  -

APA

Luo, M., Yang, Q., & Yan, F. (2026). Depth-Mining Network with Edge-Sensitive Context for Red-Green-Blue-Depth Surface Defect Segmentation. Journal of Visualized Experiments. https://doi.org/10.3791/72642

Source records

crossref · retrieved 2026-11-05T02:10:19.418Z