Gobang, Chinese Chess and Chess Game Image Recognition Techniques for Intelligent Robot
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...
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ndltd-TW-094NTUS54890852019-05-15T19:18:15Z http://ndltd.ncl.edu.tw/handle/hqg98w Gobang, Chinese Chess and Chess Game Image Recognition Techniques for Intelligent Robot 智慧型機器人之五子棋、象棋及西洋棋對奕影像辨識技術 Bo-Cong Chen 陳柏琮 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. Chyi-yeu Lin 林其禹 2006 學位論文 ; thesis 77 zh-TW |
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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.
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author2 |
Chyi-yeu Lin |
author_facet |
Chyi-yeu Lin Bo-Cong Chen 陳柏琮 |
author |
Bo-Cong Chen 陳柏琮 |
spellingShingle |
Bo-Cong Chen 陳柏琮 Gobang, Chinese Chess and Chess Game Image Recognition Techniques for Intelligent Robot |
author_sort |
Bo-Cong Chen |
title |
Gobang, Chinese Chess and Chess Game Image Recognition Techniques for Intelligent Robot |
title_short |
Gobang, Chinese Chess and Chess Game Image Recognition Techniques for Intelligent Robot |
title_full |
Gobang, Chinese Chess and Chess Game Image Recognition Techniques for Intelligent Robot |
title_fullStr |
Gobang, Chinese Chess and Chess Game Image Recognition Techniques for Intelligent Robot |
title_full_unstemmed |
Gobang, Chinese Chess and Chess Game Image Recognition Techniques for Intelligent Robot |
title_sort |
gobang, chinese chess and chess game image recognition techniques for intelligent robot |
publishDate |
2006 |
url |
http://ndltd.ncl.edu.tw/handle/hqg98w |
work_keys_str_mv |
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