Image retrieval based on Gaussian Mixture Model

This paper presents some explorations and studies on image retrieval. Firstly, RGB color space is converted to HSV color space for feature extraction. Then, the texture features are obtained by using wavelet, which are combined with some color features based on wavelet transform. Finally, the multi-features generated by Gaussian Mixture Model (GMM) are employed to an image retrieval algorithm. The experimental results on an image database show the effectiveness and competitive performance of the GMM-based image retrieval algorithm.