Feature Vector Approximation Based On Wavelet Network

Image classification is an important task in computer vision. In this paper, we propose a new image representation based on local feature vectors approximation by the wavelet networks. To extract an approximation of the feature vectors space, a Wavelet Network algorithm based on fast Wavelet is suggested. Then. the K-nearest neighbor (K-NN) classification algorithm is applied on the approximated feature or The approximation of the feature space ameliorates the feature vector classification accuracy.