Notice of RetractionResearch and simulation of hybrid processing model based on scenes perceptual features

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The scene perception is a process of getting content and meaning of scene from a group of objects that have specific spatial relationships. Therefore, the research of the processing based on the scene perceived features is essential for image understanding and scene recognition. Cognitive science research results show that the cognitive process of visual information processing using a bottom-up and top-down combination of mixed model. And The visual information during scene perception involves not only local features but also global features. Based on the above research, this paper established a bottom-up and top-down combination processing model, which co-existence of serial and parallel. We uses Fuzzy ARTMAP (Fuzzy adaptive resonance theory map) network to simulate the process model. Fuzzy ARTMAP is verified by experiment that the model is effective for classification of object in scenes.