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A Replay Method for Gobang Chessboard Based on Machine Vision

机译:基于机器视觉的Gobang Chessboard的重播方法

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Aiming at the checkerboard recovery problem, a checkerboard replay method based on machine vision is proposed to process the images and replay the gobang chessboard. In this method, after being processed, the obtained images are converted into the corresponding array matrix, where black chess is represented by 1, white chess is represented by −1, and no chess piece is represented by 0.,the visualization of the replay of gobang chessboard is realized by setting the checkerboard and reading the matrix of the checkerboard data on the images with MATLAB This vision method could also be introduced to bring convenience and profits to other fields like Chinse chessboard and so on.
机译:针对棋盘恢复问题,提出了一种基于机器视觉的棋盘重播方法来处理图像并重放古岗棋枰。 在该方法中,在处理之后,所获得的图像被转换为相应的阵列矩阵,其中黑核象棋由1表示,白色棋子由-1表示,并且没有棋子由0表示。重播的可视化 通过设置棋盘和读取使用MATLAB上的图像的棋盘数据的矩阵来实现戈桑棋枰,也可以引入这种视觉方法,以使便利性和利润与Chinse棋盘等其他领域带到其他领域。

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