Image classfication using increasing weighting function of adjacency matrix of graph and non-negetive matrix factorization
Bin Wang · Journal of Anhui University · 2011
In this paper,the adjacency matrix of graph based on the increasing weighting function combined with the method of non-negative matrix factorization was applied to the image classification.First,the character points could be distilled from different images.Then,these points were used to construct the adjacency matrix of the increasing weighting function,and the eigenvector of the image could be obtained by the non-negative factorization of the adjacency matrix.Finally,the eigenvector was put into PNN(Probabilistic Neural Network)classifier to accomplish the image classification.Several groups of experiments were presented between simulating images and real images.The results showed that the method presented in this paper was feasible and accurate.