Computational primitives of visual perception

Great stride has been made in psychological research about primitives of visual perception, which is important to computer vision and image processing. In this paper, we propose a computational model to imitate the primitives of visual perception based on the pyschological theory of topological perceptual organization. First, we adopt geodesic distance based descriptor to describe an independent topological structure. Then, we consider the spatial relationship of two independent structures. Experiments on structures classification demonstrates that the propose model is consistent with the psychological theory. Further experiments on patches clustering prove that our approach can be used to enhance other algorithms.