文献类型：会议论文

英文题名：A Machine Vision System for Chinese Chess-Playing Robot

作者：Fang, Jianjun[1]

第一作者：方建军

通讯作者：Fang, JJ[1]

机构：[1]Beijing Union Univ, Sch Automat, Beijing 100101, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Sch Automat, Beijing 100101, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：International Conference on Mechanical Engineering and Technology (ICMET 2011)

会议日期：NOV 24-25, 2011

会议地点：London, ENGLAND

语种：英文

外文关键词：Machine vision; Chinese chess-playing robot; Hierarchical Hough transform; BP neural network

摘要：This paper introduces a machine vision system for Chinese chess-playing robots which is usually regarded as a form of recreation. The machine vision system with two color cameras takes simultaneously two images of a chessboard and round pieces on the chessboard from different angles (views). Firstly, original images are handled by a series of image processing operations such as color conversion, binarization and denoise. Secondly, a hierarchical Hough transform algorithm was taken to detect lines and circles in the binarized image. Circles with reasonable radii nearly centered on the crossings of chessboard will be considered as pieces on the chessboard and its corresponding Chinese character inside the circle would be recognized based on BP neural network and ring intersection points. The 3D coordinates of pieces can be calculated through computation and then transformed to coordinates expressed by row and column. Finally, results of image processing and pattern recognition procedures will be sent to robot control system to manipulate end-effector of a robot to move round pieces from one place to another desired. Experimental results reveal that the designed machine vision system in this paper can work well with higher reliability.