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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...
Autores principales: | Li, Junfeng, Xie, Dehong, Li, Miaoxin, Liu, Shiwei, Wei, Chun’Ao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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