Abstract:
In order to solve the problem in the image process researches,it is very important to find an efficient,biologic recognition related,and high-level semantic image classification method.By adopting the theories of biologic visual recognition and knowledge engineering combined with biologic characteristic(information,) and using minimum spanning tree as an image information construction tree,this paper pre-(sents) a sparse coding-based image semantic classifier (SCISC) model.The experimental result shows that this model has high accuracy in image classification.