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Recognition of single object in Natural Images usually shows low accuracy and low comprehension ability due to the complexity of the scenes. In contrast, human vision boasts extraordinary perceptive ability, which motives our study on simulation of human visual information pathways. By mimicking the layering processing mechanism, we designed a computing model and method for image perception with the functional features of biological vision. This model can perceive single object against complex background with the accuracy above 90%, as proven in experiments based on the testing sample from the database “caltech101”.

Bio-inspired Approach for Recognition of Single Object in Natural Images against Complex Background