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An Auto-Recognizing System for Dice Games Using a Modified Unsupervised Grey Clustering Algorithm
In this paper, a novel identification method based on a machine vision system is proposed to recognize the score of dice. The system employs image processing techniques, and the modified unsupervised grey clustering algorithm (MUGCA) to estimate the location of each die and identify the spot number...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Molecular Diversity Preservation International (MDPI)
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927534/ https://www.ncbi.nlm.nih.gov/pubmed/27879761 |