The application of resonance algorithm for image segmentation

Computer vision and recognition plays more important role on intelligent control. In this paper, the resonance theory is proposed for image segmentation. Resonance algorithm is an unsupervised method to generate the region (or feature space) from similar pixels (or feature vectors) in an image. It tolerates gradual changes of texture to some extent for image segmentation. The purpose of the paper is to propose a practical method for image segmentation, which is always the first step to control a real intelligent control system. Finally, the experimental results and some considerations are also given.