An Auto-Recognizing System for Dice Games Using a Modified Unsupervised Grey Clustering Algorithm-Reference-Cited by-同舟云学术

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

Published:2008-02-21 Issue:2 Volume:8 Page:1212-1221
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Huang Kuo-Yi

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/8/2/1212/pdf

Reference12 articles.

1. Computer vision based reliability control for electromechanical dice gambling machine;Lapanja;Industrial Technology, Proc. IEEE Int. Conf.,2000

2. Automated detection and classification of dice;Correia;SPIE,1995

3. Design considerations of an electromechanical dice gambling machine;Bergant;Industrial Technology, Proc. IEEE Int. Conf.,2000

4. Digital image processing;Gonzalez,2002

5. Control problems of grey systems;Deng;Syst. Control Lett.,1982

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2. Software to Assist Visually Impaired People During the Craps Game Using Machine Learning on Python Platform;Smart Technologies, Systems and Applications;2022

3. A Hybrid Method for the Segmentation of a Ferrograph Image Using Marker-Controlled Watershed and Grey Clustering;Tribology Transactions;2016-04-28

4. Multivariate dice recognition using invariant features;Optical Engineering;2013-04-22

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