Color Converting of Endoscopic Images Using Decomposition Theory and Principal Component Analysis

Keivan Ansari, Alexandre Krebs, Yannick Benezeth, Franck Marzani

Open source

DOI: 10.5121/csit.2019.91812
Published: 2019-12-21
Container: 9th International Conference on Computer Science, Engineering and Applications (ICCSEA 2019)
Publisher: Aircc publishing Corporation
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.5121/csit.2019.91812,
  title = {Color Converting of Endoscopic Images Using Decomposition Theory and Principal Component Analysis},
  author = {Keivan Ansari and Alexandre Krebs and Yannick Benezeth and Franck Marzani},
  year = {2019},
  journal = {9th International Conference on Computer Science, Engineering and Applications (ICCSEA 2019)},
  doi = {10.5121/csit.2019.91812},
  url = {https://doi.org/10.5121/csit.2019.91812}
}

RIS

TY  - JOUR
TI  - Color Converting of Endoscopic Images Using Decomposition Theory and Principal Component Analysis
AU  - Keivan Ansari
AU  - Alexandre Krebs
AU  - Yannick Benezeth
AU  - Franck Marzani
PY  - 2019
JO  - 9th International Conference on Computer Science, Engineering and Applications (ICCSEA 2019)
DO  - 10.5121/csit.2019.91812
UR  - https://doi.org/10.5121/csit.2019.91812
ER  -

APA

Ansari, K., Krebs, A., Benezeth, Y., & Marzani, F. (2019). Color Converting of Endoscopic Images Using Decomposition Theory and Principal Component Analysis. 9th International Conference on Computer Science, Engineering and Applications (ICCSEA 2019). https://doi.org/10.5121/csit.2019.91812

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crossref · retrieved 2026-09-25T01:16:43.163Z