A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)

Xiaohao Cai, Raymond Chan, Mila Nikolova, Tieyong Zeng

Open source

DOI: 10.1007/s10915-017-0402-2
Published: 2017-03-10
Container: Journal of Scientific Computing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10915-017-0402-2,
  title = {A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)},
  author = {Xiaohao Cai and Raymond Chan and Mila Nikolova and Tieyong Zeng},
  year = {2017},
  journal = {Journal of Scientific Computing},
  doi = {10.1007/s10915-017-0402-2},
  url = {https://doi.org/10.1007/s10915-017-0402-2}
}

RIS

TY  - JOUR
TI  - A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)
AU  - Xiaohao Cai
AU  - Raymond Chan
AU  - Mila Nikolova
AU  - Tieyong Zeng
PY  - 2017
JO  - Journal of Scientific Computing
DO  - 10.1007/s10915-017-0402-2
UR  - https://doi.org/10.1007/s10915-017-0402-2
ER  -

APA

Cai, X., Chan, R., Nikolova, M., & Zeng, T. (2017). A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). Journal of Scientific Computing. https://doi.org/10.1007/s10915-017-0402-2

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crossref · retrieved 2026-09-25T10:43:49.366Z