Application of Vision-guided Robot by Improved Entropy Model

To obtain better segmentation results for navigation path of vision-guided robot, this paper proposes a novel algorithm based on synthesis entropy segmentation. Firstly, image calibration and path image in HIS model are got. Secondly, synthesis entropy algorithm is designed to attain path image segmentation. Finally, time ant colony algorithm is adopted to optimize guide line edge segmentaion of path image. It can be concluded that path guide line of vision-guided robot under industry surrounding may be recognized accurately through this way.