Content-Based Retrieval of Aurora Images Based on the Hierarchical Representation

The boundary based image segmentation and representation system takes a thinned edge image and produces a unique hierarchical representation using a graph/tree data structure. The feature extraction algorithms have been developed to obtain geometric features by directly processing the graph/tree hierarchical data structure for diverse image processing and interpretation applications. This paper describes a content-based image retrieval system for the retrieval of aurora images utilizing the graph/tree hierarchical representation and the associated geometric feature extraction algorithms which extract features for the purpose of classification. The experimental results which prove that the hierarchical representation supports the fast and reliable computation of several geometric features which are useful for content based image retrieval are presented.