Similarity-based Image Retrieval by Self-Organizing Map with Refractoriness
Kouhei Nagashima, Masao Nakada, Yuko Osana · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks · 2007
In this research, we proposed a similarity-based image retrieval by self-organizing map with refractoriness. In the self-organizing map with refractoriness, the plural neurons in the map layer corresponding to the input can fire sequentially because of the refractoriness. The image retrieval system using the self-organizing map with refractoriness makes use of this property in order to retrieve plural similar images. In this image retrieval system, as the image feature, not only color information but also spectrum, impression words and key words are employed. We carried out a series of computer experiments and confirmed that the effectiveness of the proposed system.