Efficient colour texture image retrieval by combination of colour and texture features in wavelet domain

A new approach for image retrieval by combination of colour and texture features is proposed. This approach uses the histogram of feature vectors, which are constructed from the coefficients of some subbands of wavelet transform and chosen according to their intrinsic characters. A K-means algorithm is used to quantise feature vectors. The experimental results both on small size databases (40 classes of textures) and large size databases (167 classes of textures) show that, compared with the state-of-the-art approaches, the proposed approach can achieve better retrieval performance.