Chaotic associative memory using internal patterns for image retrieval by color and shape information

In this paper, we propose a chaotic associative memory using internal patterns for image retrieval (CAMIP-IR) by color and shape information. This model is based on the chaotic associative memory which can realize dynamic associations and the self-organizing map. In the proposed model, the similarity-based image retrieval can be realized using color and shape information.