Content-based image retrieval with scale-space object trees

Using recent advances in scale-space decomposition techniques, it is possible to transform images into trees in scale space, which represent the topology of regions within the image. We propose that complex objects can be found in the trees using a combination of subgraph isomorphism testing and conventional feature matching and hence provide a vehicle for achieving content-based retrieval and navigations for complex objects in images.