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Mobil Application Support for Nine Men's Morris Playing
Kolínek, Daniel ; Zbořil, František (referee) ; Zbořil, František (advisor)
The aim of this work is to create an application for mobile device solving the task of determination the best move in game Nine men's morris from a camera snapshot taken on smart device. The task is divided into the problem of position detection and determination of the best move. Position recognition is solved by using edge detection, finding circles using Hough transform and subsequent color detection in found circles. Finding the best move is solved by own position evaluation and state space search using the Alpha-Beta algorithm. Using the OpenCV library and the Android Studio development environment, a sample application executable under Android version 5 and higher was created. The sample application solves both tasks.
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Support for Playing Board Games Demonstration on Mobile Platforms
Široký, Ondřej ; Kočí, Radek (referee) ; Zbořil, František (advisor)
The aim of this bachelor's thesis is to create a mobile application for the Android platform that will help the player determine the best possible move from the captured image. The application identifies the game and extracts its current state by using OpenCV library functions. This information is then displayed to the user, who has the ability to manually adjust the game status if the game board is inaccurately read. Subsequently, the application uses the Minimax algorithm with Alpha-beta pruning to determine the best move and displays it to the user.
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Support for Playing Board Games Demonstration on Mobile Platforms
Široký, Ondřej ; Kočí, Radek (referee) ; Zbořil, František (advisor)
The aim of this bachelor's thesis is to create a mobile application for the Android platform that will help the player determine the best possible move from the captured image. The application identifies the game and extracts its current state by using OpenCV library functions. This information is then displayed to the user, who has the ability to manually adjust the game status if the game board is inaccurately read. Subsequently, the application uses the Minimax algorithm with Alpha-beta pruning to determine the best move and displays it to the user.
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Mobil Application Support for Nine Men's Morris Playing
Kolínek, Daniel ; Zbořil, František (referee) ; Zbořil, František (advisor)
The aim of this work is to create an application for mobile device solving the task of determination the best move in game Nine men's morris from a camera snapshot taken on smart device. The task is divided into the problem of position detection and determination of the best move. Position recognition is solved by using edge detection, finding circles using Hough transform and subsequent color detection in found circles. Finding the best move is solved by own position evaluation and state space search using the Alpha-Beta algorithm. Using the OpenCV library and the Android Studio development environment, a sample application executable under Android version 5 and higher was created. The sample application solves both tasks.
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