Research Of Object Recognition Methods For Global Vision Soccer Robots

Machine vision system is an important component of robot systems, which consists of pattern recognition and artificial intelligence, a variety of disciplines, such as computer image processing techniques, similar to the function of the human eye. Perception robot can automatically makes real-time information on the outside world. As a branch of the field of machine vision. Soccer Robot Football robot vision system is a key component subsystems, it will aim to provide an accurate decision-making system configuration information is the basis of the entire control system.Based on a thorough analysis of the soccer robot vision system and the characteristics of robot soccer, a median filtering and the Robert speed escalators are used for the removing noise and sharpening the image processing. The rapid color image segmentation methods based on YUV color model is actualized. We adopted target searching methods which based on the pre-game grid seed dichotomy and the prejudging fan-based grid seed dichotomy so that the effect of Robot Soccer visual object recognition system has been greatly improved.