1. First we analyze and study the principle of image retrieval system and key techniques and algorithms of CBIR, such as the low-level feature descriptions including texture, shape, the similarity measure between images, the indexing methods and so on 2. Researching on the texture-based image retrieval algorithm, we propose an algorithm of texture feature extraction based on the Nonsubsampled Contourlet transform in this thesis. The image is decomposed by the Nonsubsampled Contourlet transform. The mean, standard deviation and third central moment of the magnitude of the Nonsubsampled Contourlet coefficients at different scales and directions are computed to extract the texture feature vector.Experiment proves the third central moment added in NSCT arithmetic is overperformded than only use the mean and standard deviation, and precision ratio has improved. 3. Researching on the shape-based image retrieval algorithm, we propose an algorithm of shape feature extraction bas

NSCT.pdf

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