Spatial Color Image Databases Summarization

This paper presents a finite discrete mixture model based on both the Dirichlet and the multinomial distributions to add spatial information to color histograms. The estimation of the parameters and the determination of the number of components in our model are based on the classification expectation-maximization approach and the integrated complete likelihood criterion, respectively. The developed model is applied with success for color images databases summarization.