A STUDY ON THE DESIGN OF A IMAGE RECOGNITION TECHNOLOGY FOR BILLIARDS TRAINING SYSTEM

• Main Authors: Ming-chih Tsai, 蔡明志
• Other Authors: Ming-guo Her
• Format: Others
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/06009322275585959945

碩士 === 大同大學 === 機械工程學系(所) === 99 === In the busy modern life, exercise is an important leisure activity. However, each exercise is not suitable for all ages. Those elders and toddlers are not suitable for high intense exercise, such as basketball, baseball, etc. Nevertheless, exercise like golf and billiards are those exercises for all ages. Compare to golf, the payment of billiards is less. So, this research chose billiards as research target. The major problems for those fresh billiards players are how to shoot and aim right. In order to correct the shooting posture and aiming method, this paper use computer vision to get the correct shot point for players. This research apply computer vision technique, such as binarization, morphology canny edge detect processing,etc., to get those data of shot point and shot track. The system is developed by Visual C++ 2008, CLR. It gives a human-machine interface to correct shot posture and advice shot track for user to raise the learning efficiency of billiards players.