文献类型：期刊文献

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, J.

机构：[1] School of Automation, Beijing Union University, Beijing, 100101, China

第一机构：北京联合大学城市轨道交通与物流学院

年份：2012

卷号：125 AISC

起止页码：379-385

外文期刊名：Advances in Intelligent and Soft Computing

收录：EI(收录号：20122015019955)

语种：英文

外文关键词：Feature extraction - Robot vision - Hough transforms - Neural networks

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. ? 2012 Springer-Verlag GmbH Berlin Heidelberg.