Grid-based Clustering in the Content-based Organization of Large Image Databases

In the image databases, there is often a need to organize the images automatically by their content. For the content-based organization of the images, clustering operations can be applied. We present a new, efficient method for the clustering of large image databases. The method is based on hierarchical clustering of the image database using grid. In this paper, the grid-based clustering methods are applied to fast image database browsing and retrieval. Proposed clustering methods are tested using real image databases.