基于视觉的象棋棋盘识别  

Chess-board recognition based on vision

作　　者：杜俊俐[1] 张景飞[2] 黄心汉[1] 

机构地区：[1]华中科技大学自动控制系 [2]郑州大学工程力学系,郑州450001

出　　处：《计算机工程与应用》2007年第34期220-222,232,共4页Computer Engineering and Applications

摘　　要：基于视觉的象棋棋盘识别是象棋机器人软件的重要组成部分,其核心工作是棋盘图像二值化和棋子识别。针对棋盘全局二值化存在的问题,提出了基于相邻像素灰度差阈值的棋盘图像二值化方法;针对棋子文字方向任意的现象,提出了3种基于统计特征的棋子文字识别方法。经实验验证,这些方法处理速度快、效果理想。Chess-board recognition based on vision is an important part of a chess robot softwart system.It＇s key problems are binarization of chess-board image and character recognition.To save the problem caused by full chess-board binarization way,the binarization method based on the difference threshold of neighbor pixels＇ gray-level is given.To treat the random of a character＇s direction,three methods of character recognition based on statistics are given.Experiments show that they are fast and high quality.

关 键 词：棋盘识别 灰度差阈值 年轮统计 傅立叶变换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]