A Novel Image Retrieval Algorithm Based on Fast Wavelet Packet Histogram Techniques
Zeng Zhi · 2006
A novel image retrieval algorithm based on fast wavelet packet histogram techniques is presented. The algorithm consists of three steps: wavelet packet decomposition, most dominant energy channels selection, wavelet packet histogram extraction and similarity measurement. Firstly, an image is decomposed by a family of real orthonnormal wavelet bases and the energy is computed using wavelet packet coefficients. Secondly, few number of most dominant energy channels are selected for thresholding and non-linear filtering. Finally, the wavelet packet histogram is computed as feature signatures and histogram intersection distance is employed to retrieval queried image from image databases. The proposed method employes a smaller feature space and involves as less computation cost in the feature extraction. The experimental results show that these techniques can archive higher performance in the image retrieval.