Texture Detect on Rotary-Veneer Surface Based on Semi-Fuzzy Clustering Algorithm

Wei Cheng, Ping Liang, Suqun Cao

Open source

DOI: 10.1007/978-3-642-12220-0_54
Published: 2010
Container: IFIP Advances in Information and Communication Technology
Publisher: Springer Berlin Heidelberg
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-642-12220-0_54,
  title = {Texture Detect on Rotary-Veneer Surface Based on Semi-Fuzzy Clustering Algorithm},
  author = {Wei Cheng and Ping Liang and Suqun Cao},
  year = {2010},
  journal = {IFIP Advances in Information and Communication Technology},
  doi = {10.1007/978-3-642-12220-0_54},
  url = {https://doi.org/10.1007/978-3-642-12220-0_54}
}

RIS

TY  - JOUR
TI  - Texture Detect on Rotary-Veneer Surface Based on Semi-Fuzzy Clustering Algorithm
AU  - Wei Cheng
AU  - Ping Liang
AU  - Suqun Cao
PY  - 2010
JO  - IFIP Advances in Information and Communication Technology
DO  - 10.1007/978-3-642-12220-0_54
UR  - https://doi.org/10.1007/978-3-642-12220-0_54
ER  -

APA

Cheng, W., Liang, P., & Cao, S. (2010). Texture Detect on Rotary-Veneer Surface Based on Semi-Fuzzy Clustering Algorithm. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-642-12220-0_54

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crossref · retrieved 2026-11-10T11:47:31.602Z