An Auto-Recognizing System for Dice Games Using a Modified Unsupervised Grey Clustering Algorithm

Sensors

关键词: Machine vision;    Grey relational analysis;    Grey clustering;    Dice;    Auto-recognition;   

DOI  :  10.3390/s8021212

来源: mdpi

【 摘 要 】

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 accurately and effectively. The proposed algorithms are substituted for manual recognition. From the experimental results, it is found that this system is excellent due to its good capabilities which include flexibility, high speed, and high accuracy.

【 授权许可】

Unknown   
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