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Oil Adulteration Identification by Hyperspectral Imaging Using QHM and ICA
To investigate the feasibility of identification of qualified and adulterated oil product using hyperspectral imaging(HIS) technique, a novel feature set based on quantized histogram matrix (QHM) and feature selection method using improved kernel independent component analysis (iKICA) is proposed fo...
Tallennettuna:
| Julkaisussa: | PLoS One |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4731151/ https://ncbi.nlm.nih.gov/pubmed/26820311 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0146547 |
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