Image Recognition Study via the Neural Fuzzy System
Hung‐Ching Lu, Cheng-Hung Tsai · 2006
In this paper, for dealing with the image process control, we use an omnidirectional vision system to provide our middle-size robot with a tracking capability. By means of the neural fuzzy network system, the image color has to be recognized and applied to the soccer robot. In order to get the scene that surrounds robot 360 degrees, the panoramic image is installed by matching the convex mirror and CCD lens. This research focuses mainly on controlling actions that are seeking and tracking the ball, the most important activities of a soccer robot. The experimental works are conducted to illustrate the effectiveness of the neural fuzzy system on the image colour recognition and tracking the ball.