基于机器视觉的中国象棋人机博弈系统设计
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摘要
通过对图像处理及人机博弈相关理论的研究,实现了一种中国象棋人机博弈机器人系统的设计。该系统通过摄像头采集棋盘图像,之后将图像传入计算机,同时计算机通过图像剪切方法和基于对数极坐标变换&傅里叶变换的模板匹配方法实现棋盘中棋子的定位与识别,之后调用中国象棋人机博弈算法得出下一步应进行的走法,计算机通过串口将走法信息传入下位机单片机中,单片机根据走法信息控制机械臂实现棋子的移动,完成与人的对弈过程。经测试,该系统能够完成基本的功能并且具有较好的稳定性。
Through the research on image processing and human-machine game related theory,the design of a Chinese chess human-machine game robot system is realized.The chessboard image is captured by the camera and then transmitted to the computer.At the same time,the computer realizes the positioning and recognition of the chessman in the chessboard through the image cutting method and the template matching method based on log-polar coordinate & Fourier transformation.After calling the Chinese chess human-machine game algorithm,the next step should be taken.The computer sends the movement information to the microcomputer through the serial port.The microcomputer controls the mechanical arm to realize the movement of the chessman according to the movement information,and completes the game with the human.Through testing,the system performs the basic functions and has good stability.
Through the research on image processing and human-machine game related theory,the design of a Chinese chess human-machine game robot system is realized.The chessboard image is captured by the camera and then transmitted to the computer.At the same time,the computer realizes the positioning and recognition of the chessman in the chessboard through the image cutting method and the template matching method based on log-polar coordinate & Fourier transformation.After calling the Chinese chess human-machine game algorithm,the next step should be taken.The computer sends the movement information to the microcomputer through the serial port.The microcomputer controls the mechanical arm to realize the movement of the chessman according to the movement information,and completes the game with the human.Through testing,the system performs the basic functions and has good stability.
引文
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[13]苏百顺,靳孝峰,郭帅童,等.基于STM32的环境综合参数检测仪的设计[J].测控技术,2018,37(6):60-63.
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[2]张乃风.基于射频识别技术的智能棋盘的研究与开发[D].沈阳:东北大学,2014.
[3]贺兴.基于视频图像理解的中国象棋棋子识别[D].武汉:中南民族大学,2014.
[4]郭晓峰,王耀南,周显恩,等.中国象棋机器人棋子定位与识别方法[J].智能系统学报,2018,13(4):517-523.
[5] Hu M K. Visual pattern recognition by moment invariants[J].IRE Transactions on Information Theory,1962,8(2):179-187.
[6]朱亚旋,张小国,陈刚.基于图像纹理与矩特征的转子绕线检测研究[J].测控技术,2018,37(2):16-19.
[7] Khotanzad A,Hong Y h.Invariant image recognitionby Zernike moments[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1990,12(5):489-497.
[8]杜俊俐,张景飞,黄心汉.基于视觉的象棋棋盘识别[J].计算机工程与应用,2007,43(34):220-222.
[9]王殿君.基于视觉的中国象棋棋子识别定位技术[J].清华大学学报(自然科学版),2013(8):1145-1149.
[10]汪洋,黄小红,陈曾平.基于对数极坐标变换的目标识别算法[J].雷达科学与技术,2009,7(2):111-114.
[11]甘厚吉,华文深.基于傅里叶-极坐标变换的相关结果后处理技术[J].应用光学,2010,31(6):939-942.
[12]陈继锴.中国象棋人机博弈系统的研究与实现[D].厦门:厦门大学,2013.
[13]苏百顺,靳孝峰,郭帅童,等.基于STM32的环境综合参数检测仪的设计[J].测控技术,2018,37(6):60-63.
[14]朱国杰,田文凯,吕承哲,等.六足仿生机器人机构与控制系统设计[J].测控技术,2017,36(1):55-58.