Weiqi referee system based on MLP neural network and computer vision

A computer vision and neural network technology, applied in the field of MLP neural network and image recognition, can solve problems such as ineffectiveness, many influencing factors, inapplicability, etc., to achieve the effect of fast operation, small model size, and fast judgment speed.

Active Publication Date: 2019-11-01
SOUTHWEST UNIVERSITY FOR NATIONALITIES
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the effect that people want is still not achieved. The biggest problem is that there are many unforeseen influencing factors, so a specific method cannot be applied to all situations.

Method used

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  • Weiqi referee system based on MLP neural network and computer vision
  • Weiqi referee system based on MLP neural network and computer vision
  • Weiqi referee system based on MLP neural network and computer vision

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Embodiment Construction

[0041] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0042] The technical scheme that the present invention solves the problems of the technologies described above is:

[0043] refer to figure 1As shown, the application diagram of the neural network 1 of the present invention is shown, which is the training process of the MLP artificial neural network, which is used to find the characteristics of the chessboard to determine the chessboard in the incoming picture. Specifically, input the picture into the training model:

[0044] 1) Mark out the checkerboard range in the input image.

[0045] 2) Using the multi-channel pixel values ​​in the marked range as feature values ​​to generate feature vectors.

[0046] 3) Iterative training to generate a chessboard...

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Abstract

The invention relates to a Weiqi referee system based on an MLP neural network and computer vision. The Weiqi referee system comprises an image normalization processing module, an MLP neural network module and a Weiqi referee algorithm module. The image normalization processing module is used for preprocessing an image by means of channel transformation, image cutting, light equalization processing, corner detection and the like, so that subsequent recognition is facilitated. The MLP neural network module comprises a chessboard recognition model and a chess piece recognition model and is usedfor recognizing the positions of the chessboard and the black and white chess pieces and storing the information of the chessboard and the black and white chess pieces in a TXT file. The later-stage Weiqi referee algorithm module is used for judging the winning or losing of the chess game, obtaining the winning or losing state of the black and white chess according to an algorithm by reading the state and position information of the black and white chess in the TXT file, converting a result into an SGF (universal go chess manual) picture and displaying the SGF picture to a user.

Description

technical field [0001] The invention belongs to MLP neural network and image recognition technology, and specifically relates to image acquisition and image processing technology. Background technique [0002] With the development of artificial intelligence, the application of deep learning and image recognition technology is more extensive. As the starting point of deep learning, MLP neural network has certain advantages in dealing with classification problems. In the field of Go, due to holding a large-scale Go game, a large number of Go referees need to be hired, the cost is high, and the judgment speed is slow, and judgment errors may also be made. Therefore, many people began to study algorithms, through image acquisition, image processing, and then through the Go discrimination algorithm to determine the outcome. Among the many methods, a fixed camera is used, which cannot be moved. Finding a nearly perfect shooting angle has high requirements for hardware equipment a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62G06T7/13G06T7/73
CPCG06T7/13G06T7/73G06T2207/10004G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/20164G06V10/44G06V10/751G06F18/2413
Inventor 韩柯宋鹏云张寅睿刘阳辉虎帅珂杨鹏飞冉恒周航郭子铭完颜志峰
Owner SOUTHWEST UNIVERSITY FOR NATIONALITIES
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