Method for automatically counting moyo in Go game based on image identification
An image recognition and Go technology, which is applied in the field of image processing, can solve the problems of prone to errors, prone to errors, and easily disturbed others, and achieves the effect of quietness in the game scene, improvement of fairness, and accurate calculation.
Inactive Publication Date: 2016-08-10
曾庆长
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Problems solved by technology
[0005] 2. Error prone
Since the number of Go chess players needs to adjust the chess pieces on the chessboard to facilitate the number, it is easy to make mistakes when there are many games.
[0006] 3. Easy to disturb others
Method used
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[0028] Below in conjunction with accompanying drawing of description, the present invention will be further described.
[0029] Such as figure 1 Shown, the present invention provides a kind of go automatic number method based on image recognition pattern, comprises the following steps:
[0030] 1) Collect the image of the Go board and its chess pieces through the image acquisition device to obtain the game record image, and transmit the game record image to the image processor;
[0031] 2) Perform image preprocessing on the received chess record image through the image processor to obtain the black and white image of chess record recognition. After loading the chess record structure model file, digitally recognize the black and white image of chess record recognition, and obtain the intersection points, chessboard lines and chess pieces corresponding to the chessboard coordinate position, thereby forming the chess record coordinate data;
[0032] 3) Load the number rule mode...
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The invention discloses a method for automatically counting moyo in a Go game based on image identification, comprising steps of 1) performing image collection on a Go checkerboard and gaming chess pieces through an image collection device to obtain a chess manual image and transmitting the chess manual image to an image processor, 2) performing image pre-processing on the received chess manual image through theimage processor to obtain a chess manual identification black-white image, performing digitalized identification on the chess manual identification black-white image to obtain coordinators of intersection points, chessboard lines and the chess pieces which correspond to the chessboard so as to form chess manual coordinator data after a chess manual structure model file is loaded, 3) loading a moyo rule model and identifying the moyo of the black chess pieces and the white chess pieces from the chessboard coordinator data and publishing the result after calculating the victory and defeat. The invention provides a method for automatically counting moyo in a Go game based on the image identification mode, which can automatically identify the intersection points, the chessboard lines and the chess pieces, and adopts the mode identification mode to realize the intellectualization and automation of the moyo.
Description
technical field [0001] The invention relates to an image recognition technology, in particular to an automatic counting method for Go based on an image recognition pattern, which belongs to the technical field of image processing. Background technique [0002] Winning or losing a game of Go is determined by who occupies the territory. There are a total of 361 intersections on the board, and there are only black and white sides on the board. The final game of a game is after the game is over, and the number is generally calculated manually. The traditional method has been to count according to the level of the referee. Through the territory occupied by the black and white sides, the referee determines the outcome. [0003] The advantage of this artificial counting method is that it is easy to operate, and only the referee and two athletes are required to participate, but its disadvantages are also obvious: [0004] 1. The number is long. Go has a total of 361 intersection...
Claims
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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30242G06T5/73
Inventor 曾叔鹏
Owner 曾庆长