Gobang, Chinese Chess and Chess Game Image Recognition Techniques for Intelligent Robot

• Main Authors: Bo-Cong Chen, 陳柏琮
• Other Authors: Chyi-yeu Lin
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/hqg98w

碩士 === 國立臺灣科技大學 === 機械工程系 === 94 === This research proposes image recognition techniques for the intelligent robot DOC-2 to play Gobang, Chinese-Chess and Chess board games with human being autonomously. By using an unique reference point locations and game pieces, the game boards can be quickly and correctly recognized and interpreted by the robot. The game pieces in Gobang game recognition system are separated by using the large difference in gray scale values in specific locations. In Chinese-Chess recognition, it defines the possible groups by color filtering, then filling the group and finally decides Chessman by mask calculation. The Chess recognition algorithm estimates the possible chessman on board and then confirms by using color filtering techniques. The game-play software of Gobang, Chinese-Chess and Chess is used to determine the next play for the robot and then the robot will move the chessman on the board accordingly with the robot arm.