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Design Image Retrieval Based on Nonsubsampled Contourlet Transform and Neural Networks

In this paper, an image retrieval method based on nonsubsampled contourlet transform (NSCT) is proposed. Firstly, the image is decomposed into different scales and different directions subbands by the NSCT. Then, texture features and shape features of subbands are extracted. Finally, BP neural network is used to retrieve images through using extracted features. The experimental results over car accessory images demonstrate the effectiveness of the proposed method.