Mirosot Soccer Robot Visual Image Signal Processing Algorithms To Improve

Robot soccer match is a kind of high technology match which has arisen around the world in recent years. Now, robot soccer is divided in two kinds. The first one is MiroSot series and the second is RobCup series. Robot soccer, referring to the fields of robotics -> intelligent control, data fusion, computer technology-, wireless communication, image processing, mechanics and so on, is the outcome of all these scientific technology. It is also a typical nonlinear control object and is a good test bed for many kinds of control theory.The whole system of MiroSot robot consists of four subsystems: robot vision, decision-making and communication subsystem. The paper is about amelioration of image processing algorithm of robot soccer vision system in MiroSot soccer robot, it firstly elaborates some basic knowledge on image processing then analysis three problems in the robot soccer vision system which was bought from North-east University. The first problem is fault recognition; the second is about losing target; the last one is about low accuracy of target position. The paper presents four ways to solve the problems. The first way is building multi-color table to solve fault recognition; the second method is changing the way of enlarging target map to decrease the possibility of losing target; the third technique is using position compensation to rectify distortion of image caused by the lens of vidicon; the last method is using the mathematical characteristic of quadrature to improve the accuracy of target position.This paper presents a valid method to separate the target from the background according to RGB of color images, this method which is proved by experiment, is powerful in image segment. It has good value in practice for its high speed, low target-finding fault and accuracy position.