Optimal Learning Samples for Two-Constant Kubelka-Munk Theory to Match the Color of Pre-colored Fiber Blends

Due to the dyeing process, learning samples used for color prediction of pre-colored fiber blends should be re-prepared once the batches of the fiber change. The preparation of the sample is time-consuming and leads to manpower and material waste. The two-constant Kubelka-Munk theory is selected in...

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Detalles Bibliográficos
Autores principales: Li, Junfeng, Xie, Dehong, Li, Miaoxin, Liu, Shiwei, Wei, Chun’Ao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283763/
https://www.ncbi.nlm.nih.gov/pubmed/35844209
http://dx.doi.org/10.3389/fnins.2022.945454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283763/
https://www.ncbi.nlm.nih.gov/pubmed/35844209
http://dx.doi.org/10.3389/fnins.2022.945454

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